diff --git a/Code/BasicFilters/otbAngularProjectionBinaryImageFilter.txx b/Code/BasicFilters/otbAngularProjectionBinaryImageFilter.txx
index 394150524f2f4980f6f1534be16ca8554b429249..d4a768bc270a161f19bc288de552e046920e8c62 100644
--- a/Code/BasicFilters/otbAngularProjectionBinaryImageFilter.txx
+++ b/Code/BasicFilters/otbAngularProjectionBinaryImageFilter.txx
@@ -82,7 +82,7 @@ AngularProjectionBinaryImageFilter< TInputImage, TOutputImage, TPrecision >
{
m_AngleSet = angle;
this->SetNumberOfOutputs( angle.size() );
- for ( unsigned int i = 0; i < this->GetNumberOfOutputs(); i++ )
+ for ( unsigned int i = 0; i < this->GetNumberOfOutputs(); ++i )
{
this->SetNthOutput(i, OutputImageType::New());
}
@@ -95,7 +95,7 @@ AngularProjectionBinaryImageFilter< TInputImage, TOutputImage, TPrecision >
::GenerateOutputInformation()
{
Superclass::GenerateOutputInformation();
- for (unsigned int i = 0; i < this->GetNumberOfOutputs(); i++)
+ for (unsigned int i = 0; i < this->GetNumberOfOutputs(); ++i)
{
this->GetOutput(i)->SetRegions(
this->GetInput()->GetRequestedRegion());
@@ -124,7 +124,7 @@ AngularProjectionBinaryImageFilter< TInputImage, TOutputImage, TPrecision >
std::vector< itk::ImageRegionIterator<OutputImageType> > outIter
( this->GetNumberOfOutputs() );
- for ( unsigned int i = 0; i < outIter.size(); i++ )
+ for ( unsigned int i = 0; i < outIter.size(); ++i )
{
outIter[i] = itk::ImageRegionIterator<OutputImageType>
( this->GetOutput(i), outputRegionForThread );
@@ -133,7 +133,7 @@ AngularProjectionBinaryImageFilter< TInputImage, TOutputImage, TPrecision >
while ( !iter1.IsAtEnd() && !iter2.IsAtEnd() )
{
- for ( unsigned int i = 0; i < outIter.size(); i++ )
+ for ( unsigned int i = 0; i < outIter.size(); ++i )
{
outIter[i].Set( vcl_cos( m_AngleSet[i] ) * iter1.Get()
+ vcl_sin( m_AngleSet[i] ) * iter2.Get() );
diff --git a/Code/BasicFilters/otbBCOInterpolateImageFunction.txx b/Code/BasicFilters/otbBCOInterpolateImageFunction.txx
index 13abf1ed36dcefe787fc832c8b0b3705dbf49fbd..5ffd15d8f8bab952da05d532ab00f23c4daa0692 100644
--- a/Code/BasicFilters/otbBCOInterpolateImageFunction.txx
+++ b/Code/BasicFilters/otbBCOInterpolateImageFunction.txx
@@ -87,7 +87,7 @@ BCOInterpolateImageFunctionBase<TInputImage, TCoordRep>
step = 4./static_cast<double>(2*radius);
position = - double(radius) * step;
- for ( int i = -radius; i <= radius; i++)
+ for ( int i = -radius; i <= radius; ++i)
{
// Compute the BCO coefficients according to alpha.
dist = vcl_abs(position - offset*step);
@@ -149,9 +149,9 @@ BCOInterpolateImageFunction<TInputImage, TCoordRep>
baseIndex[dim] = itk::Math::Floor< IndexValueType >( index[dim]+0.5 );
}
- for( int i = -radius; i <= radius; i++ )
+ for( int i = -radius; i <= radius; ++i )
{
- for( int j = -radius; j <= radius; j++ )
+ for( int j = -radius; j <= radius; ++j )
{
// get neighbor index
neighIndex[0] = baseIndex[0] + i;
@@ -214,10 +214,10 @@ BCOInterpolateImageFunction< otb::VectorImage<TPixel, VImageDimension> , TCoordR
std::vector< std::vector< ScalarRealType > > lineRes;
lineRes.resize(winSize);
- for( unsigned int i = 0; i<winSize; i++)
+ for( unsigned int i = 0; i<winSize; ++i)
{
lineRes.at(i).resize(componentNumber);
- for( unsigned int j = 0; j<componentNumber; j++)
+ for( unsigned int j = 0; j<componentNumber; ++j)
{
lineRes.at(i).at(j) = itk::NumericTraits<ScalarRealType>::Zero;
}
@@ -226,7 +226,7 @@ BCOInterpolateImageFunction< otb::VectorImage<TPixel, VImageDimension> , TCoordR
std::vector< ScalarRealType > value;
value.resize(componentNumber);
- for( unsigned int j = 0; j<componentNumber; j++)
+ for( unsigned int j = 0; j<componentNumber; ++j)
{
value.at(j) = itk::NumericTraits<ScalarRealType>::Zero;
}
@@ -244,9 +244,9 @@ BCOInterpolateImageFunction< otb::VectorImage<TPixel, VImageDimension> , TCoordR
baseIndex[dim] = itk::Math::Floor< IndexValueType >( index[dim]+0.5 );
}
- for( int i = -radius; i <= radius; i++ )
+ for( int i = -radius; i <= radius; ++i )
{
- for( int j = -radius; j <= radius; j++ )
+ for( int j = -radius; j <= radius; ++j )
{
// get neighbor index
neighIndex[0] = baseIndex[0] + i;
@@ -270,13 +270,13 @@ BCOInterpolateImageFunction< otb::VectorImage<TPixel, VImageDimension> , TCoordR
}
#endif
- for( unsigned int k = 0; k<componentNumber; k++)
+ for( unsigned int k = 0; k<componentNumber; ++k)
{
lineRes[i+radius].at(k) = lineRes[i+radius].at(k)
+ this->GetInputImage()->GetPixel( neighIndex ).GetElement(k) * BCOCoefY[j+radius];
}
}
- for( unsigned int k = 0; k<componentNumber; k++)
+ for( unsigned int k = 0; k<componentNumber; ++k)
{
value.at(k) += lineRes[i+radius].at(k)*BCOCoefX[i+radius];
}
@@ -285,7 +285,7 @@ BCOInterpolateImageFunction< otb::VectorImage<TPixel, VImageDimension> , TCoordR
norma = (vcl_log(static_cast<double>(radius))/vcl_log(2.0));
norma = norma * norma;
- for( unsigned int k = 0; k<componentNumber; k++)
+ for( unsigned int k = 0; k<componentNumber; ++k)
{
output.SetElement(k, value.at(k)/norma);
}
diff --git a/Code/BasicFilters/otbBandMathImageFilter.txx b/Code/BasicFilters/otbBandMathImageFilter.txx
index a831c7d1730f1252d196b38aa0b91ead2070704d..1e7db978522aabd9a7f463f59ca846bca5f6a7ed 100644
--- a/Code/BasicFilters/otbBandMathImageFilter.txx
+++ b/Code/BasicFilters/otbBandMathImageFilter.txx
@@ -197,17 +197,17 @@ void BandMathImageFilter<TImage>
*itParser = ParserType::New();
}
- for(i = 0; i < nbThreads; i++)
+ for(i = 0; i < nbThreads; ++i)
{
m_AImage.at(i).resize(m_NbVar);
m_VParser.at(i)->SetExpr(m_Expression);
- for(j=0; j < nbInputImages; j++)
+ for(j=0; j < nbInputImages; ++j)
{
m_VParser.at(i)->DefineVar(m_VVarName.at(j), &(m_AImage.at(i).at(j)));
}
- for(j=nbInputImages; j < nbInputImages+nbAccessIndex; j++)
+ for(j=nbInputImages; j < nbInputImages+nbAccessIndex; ++j)
{
m_VVarName.at(j) = tmpIdxVarNames.at(j-nbInputImages);
m_VParser.at(i)->DefineVar(m_VVarName.at(j), &(m_AImage.at(i).at(j)));
@@ -226,7 +226,7 @@ void BandMathImageFilter<TImage>
m_OverflowCount = 0;
// Accumulate counts for each thread
- for(i = 0; i < nbThreads; i++)
+ for(i = 0; i < nbThreads; ++i)
{
m_UnderflowCount += m_ThreadUnderflow[i];
m_OverflowCount += m_ThreadOverflow[i];
@@ -255,7 +255,7 @@ void BandMathImageFilter<TImage>
std::vector< ImageRegionConstIteratorType > Vit;
Vit.resize(nbInputImages);
- for(j=0; j < nbInputImages; j++)
+ for(j=0; j < nbInputImages; ++j)
{
Vit[j] = ImageRegionConstIteratorType (this->GetNthInput(j), outputRegionForThread);
}
@@ -267,17 +267,17 @@ void BandMathImageFilter<TImage>
while(!Vit.at(0).IsAtEnd())
{
- for(j=0; j < nbInputImages; j++)
+ for(j=0; j < nbInputImages; ++j)
{
m_AImage.at(threadId).at(j) = static_cast<double>(Vit.at(j).Get());
}
// Image Indexes
- for(j=0; j < 2; j++)
+ for(j=0; j < 2; ++j)
{
m_AImage.at(threadId).at(nbInputImages+j) = static_cast<double>(Vit.at(0).GetIndex()[j]);
}
- for(j=0; j < 2; j++)
+ for(j=0; j < 2; ++j)
{
m_AImage.at(threadId).at(nbInputImages+2+j) = static_cast<double>(m_Origin[j])
+static_cast<double>(Vit.at(0).GetIndex()[j]) * static_cast<double>(m_Spacing[j]);
@@ -311,7 +311,7 @@ void BandMathImageFilter<TImage>
ot.Set(static_cast<PixelType>(value));
}
- for(j=0; j < nbInputImages; j++)
+ for(j=0; j < nbInputImages; ++j)
{
++(Vit.at(j));
}
diff --git a/Code/BasicFilters/otbBoxAndWhiskerImageFilter.txx b/Code/BasicFilters/otbBoxAndWhiskerImageFilter.txx
index 83d38a590dc39d261a553e0e62cf36a92c7af738..796371967312907940834fbe69d68aaa43ec7519 100644
--- a/Code/BasicFilters/otbBoxAndWhiskerImageFilter.txx
+++ b/Code/BasicFilters/otbBoxAndWhiskerImageFilter.txx
@@ -114,7 +114,7 @@ BoxAndWhiskerImageFilter <TInputImage>
const unsigned int thirdQuartilePosition = (3 * vectorSize) / 4;
VectorType data(vectorSize);
- for (i = 0; i < vectorSize; i++)
+ for (i = 0; i < vectorSize; ++i)
data[i] = pixel[i];
std::sort(data.begin(), data.end());
@@ -123,7 +123,7 @@ BoxAndWhiskerImageFilter <TInputImage>
double median = ::fabs(static_cast<double>(data[medianPosition]));
PixelType outputPixel(pixel);
- for (i = 0; i < vectorSize; i++)
+ for (i = 0; i < vectorSize; ++i)
{
if (::fabs(static_cast<double>(outputPixel[i]) - box) > median)
{
diff --git a/Code/BasicFilters/otbComplexToVectorImageCastFilter.h b/Code/BasicFilters/otbComplexToVectorImageCastFilter.h
index 8cc58abe7194969c508314e8209793da5bec2956..b604c3d05f167c3451bda0eb1a2c381db8d3cc15 100644
--- a/Code/BasicFilters/otbComplexToVectorImageCastFilter.h
+++ b/Code/BasicFilters/otbComplexToVectorImageCastFilter.h
@@ -74,7 +74,7 @@ public:
TOutput output;
output.SetSize( 2*A.Size() );
- for(unsigned int i=0; i<A.Size(); i++)
+ for(unsigned int i=0; i<A.Size(); ++i)
{
output[2*i] = static_cast<OutputValueType>(A[i].real());
output[2*i+1] = static_cast<OutputValueType>(A[i].imag());
diff --git a/Code/BasicFilters/otbConcatenateScalarValueImageFilter.h b/Code/BasicFilters/otbConcatenateScalarValueImageFilter.h
index 50a6d2b9ff1509983c76d9695b959c8ae4c36fe7..e6424e46b2ee2f63ba89b00f876a51bbeef04458 100644
--- a/Code/BasicFilters/otbConcatenateScalarValueImageFilter.h
+++ b/Code/BasicFilters/otbConcatenateScalarValueImageFilter.h
@@ -66,7 +66,7 @@ public:
OutputType operator ()(const InputType& in)
{
OutputType out(in.Size() + 1);
- for (unsigned int j = 0; j < in.Size(); j++)
+ for (unsigned int j = 0; j < in.Size(); ++j)
{
out[j] = in[j];
}
diff --git a/Code/BasicFilters/otbConcatenateVectorDataFilter.txx b/Code/BasicFilters/otbConcatenateVectorDataFilter.txx
index 6be967140bd99d4210d1e0d73974718da21eae6a..efe82d04e671cfbcf95af78a9a555ff66393980f 100644
--- a/Code/BasicFilters/otbConcatenateVectorDataFilter.txx
+++ b/Code/BasicFilters/otbConcatenateVectorDataFilter.txx
@@ -89,7 +89,7 @@ ConcatenateVectorDataFilter<TVectorData>
this->GetOutput()->GetDataTree()->Add(m_Document , m_Folder);
// Retrieve all the inputs
- for(unsigned int idx = 0; idx < this->GetNumberOfInputs(); idx++)
+ for(unsigned int idx = 0; idx < this->GetNumberOfInputs(); ++idx)
{
// Add the current vectordata
TreeNodeType *
diff --git a/Code/BasicFilters/otbConnectedComponentMuParserFunctor.h b/Code/BasicFilters/otbConnectedComponentMuParserFunctor.h
index 51bb09e4301bc42f43d53ac0a092f3e84d96bbdb..4bba1de88872a8c26453a96207542488460c2d86 100644
--- a/Code/BasicFilters/otbConnectedComponentMuParserFunctor.h
+++ b/Code/BasicFilters/otbConnectedComponentMuParserFunctor.h
@@ -89,7 +89,7 @@ public:
}
// we fill the buffer
- for (unsigned int i = 0; i < m_NbOfBands; i++)
+ for (unsigned int i = 0; i < m_NbOfBands; ++i)
{
m_AImageP1[i] = static_cast<double> (p1[i]);
m_AImageP2[i] = static_cast<double> (p2[i]);
@@ -168,7 +168,7 @@ public:
m_AImageP1.resize(NbOfBands, 0.0);
m_AImageP2.resize(NbOfBands, 0.0);
- for (unsigned int i = 0; i < NbOfBands; i++)
+ for (unsigned int i = 0; i < NbOfBands; ++i)
{
varName << "p1b" << i + 1;
m_Parser->DefineVar(varName.str(), &(m_AImageP1[i]));
diff --git a/Code/BasicFilters/otbDBOverlapDataNodeFeatureFunction.txx b/Code/BasicFilters/otbDBOverlapDataNodeFeatureFunction.txx
index 73b8679aa79455ff177b86c3afe7d2552b9ada5f..d5b43c778667bae568bcfdf5c812b2ab0625e727 100644
--- a/Code/BasicFilters/otbDBOverlapDataNodeFeatureFunction.txx
+++ b/Code/BasicFilters/otbDBOverlapDataNodeFeatureFunction.txx
@@ -115,9 +115,9 @@ DBOverlapDataNodeFeatureFunction<TCoordRep, TPrecision>
j = node.GetLine()->GetVertexList()->Size();
i = currentGeometry->GetPolygonExteriorRing()->GetVertexList()->Size();
}
- j++;
+ ++j;
}
- i++;
+ ++i;
}
}
++itVector;
@@ -138,7 +138,7 @@ DBOverlapDataNodeFeatureFunction<TCoordRep, TPrecision>
{
typename DataNodeType::Pointer currentGeometry = it.Get();
nbBuildings ++;
- for (unsigned int i=0; i<node.GetLine()->GetVertexList()->Size()-1; i++)
+ for (unsigned int i=0; i<node.GetLine()->GetVertexList()->Size()-1; ++i)
{
if(currentGeometry->GetPolygonExteriorRing()->NbCrossing(node.GetLine()->GetVertexList()->GetElement(i),
diff --git a/Code/BasicFilters/otbDotProductImageFilter.h b/Code/BasicFilters/otbDotProductImageFilter.h
index 45e7d5422ff4607f0b2f5a2d7195007c481dc208..4aba646478274e7e4e7f72ed192a776ef0830291 100644
--- a/Code/BasicFilters/otbDotProductImageFilter.h
+++ b/Code/BasicFilters/otbDotProductImageFilter.h
@@ -64,7 +64,7 @@ public:
OutputType operator ()(const InputType& in)
{
OutputType result = 0;
- for(unsigned int i = 0; i < in.Size(); i++)
+ for(unsigned int i = 0; i < in.Size(); ++i)
{
result += in[i] * m_Vector[i];
}
diff --git a/Code/BasicFilters/otbEuclideanDistanceWithMissingValuePow2.txx b/Code/BasicFilters/otbEuclideanDistanceWithMissingValuePow2.txx
index 51ef3406a632944c10ae938f822eab10e921e9b0..1e573fe6d04ccec9d282fbfabf575d352bfd787f 100644
--- a/Code/BasicFilters/otbEuclideanDistanceWithMissingValuePow2.txx
+++ b/Code/BasicFilters/otbEuclideanDistanceWithMissingValuePow2.txx
@@ -40,7 +40,7 @@ EuclideanDistanceWithMissingValuePow2<TVector>
double temp, distance = itk::NumericTraits<double>::Zero;
- for (unsigned int i = 0; i < x1.Size(); i++)
+ for (unsigned int i = 0; i < x1.Size(); ++i)
{
if (!IsMissingValue(x1[i]) && !IsMissingValue(x2[i]))
{
@@ -68,7 +68,7 @@ EuclideanDistanceWithMissingValuePow2<TVector>
double temp, distance = itk::NumericTraits<double>::Zero;
- for (unsigned int i = 0; i < measurementVectorSize; i++)
+ for (unsigned int i = 0; i < measurementVectorSize; ++i)
{
if (!IsMissingValue(this->GetOrigin()[i]) && !IsMissingValue(x[i]))
{
diff --git a/Code/BasicFilters/otbFastICAImageFilter.txx b/Code/BasicFilters/otbFastICAImageFilter.txx
index 3c5f57af0cf2c0f7946fcd4954a1f0c7a7f16e17..0a202ad188a1c4a6046da9bca5a59dd763460218 100644
--- a/Code/BasicFilters/otbFastICAImageFilter.txx
+++ b/Code/BasicFilters/otbFastICAImageFilter.txx
@@ -270,7 +270,7 @@ FastICAImageFilter< TInputImage, TOutputImage, TDirectionOfTransformation >
InternalMatrixType W_tmp = W * W.transpose();
vnl_svd< MatrixElementType > solver ( W_tmp );
InternalMatrixType valP = solver.W();
- for ( unsigned int i = 0; i < valP.rows(); i++ )
+ for ( unsigned int i = 0; i < valP.rows(); ++i )
valP(i, i) = 1. / vcl_sqrt( static_cast<double>( valP(i, i) ) ); // Watch for 0 or neg
InternalMatrixType transf = solver.U();
W_tmp = transf * valP * transf.transpose();
@@ -278,8 +278,8 @@ FastICAImageFilter< TInputImage, TOutputImage, TDirectionOfTransformation >
// Convergence evaluation
convergence = 0.;
- for ( unsigned int i = 0; i < W.rows(); i++ )
- for ( unsigned int j = 0; j < W.cols(); j++ )
+ for ( unsigned int i = 0; i < W.rows(); ++i )
+ for ( unsigned int j = 0; j < W.cols(); ++j )
convergence += vcl_abs( W(i, j) - W_old(i, j) );
reporter.CompletedPixel();
diff --git a/Code/BasicFilters/otbFastICAInternalOptimizerVectorImageFilter.txx b/Code/BasicFilters/otbFastICAInternalOptimizerVectorImageFilter.txx
index 89060da33e183111d01c35e54551ab8dc3be937a..0b79275e112c3da3aeb73d0eb160eaf03323f23b 100644
--- a/Code/BasicFilters/otbFastICAInternalOptimizerVectorImageFilter.txx
+++ b/Code/BasicFilters/otbFastICAInternalOptimizerVectorImageFilter.txx
@@ -132,7 +132,7 @@ FastICAInternalOptimizerVectorImageFilter< TInputImage, TOutputImage >
double den = 0.;
double nbSample = 0;
- for ( int i = 0; i < this->GetNumberOfThreads(); i++ )
+ for ( int i = 0; i < this->GetNumberOfThreads(); ++i )
{
beta += m_BetaVector[i];
den += m_DenVector[i];
diff --git a/Code/BasicFilters/otbFlexibleDistanceWithMissingValue.txx b/Code/BasicFilters/otbFlexibleDistanceWithMissingValue.txx
index e3744a5276e1328f94e67fbf72f5ad9ca6c204e3..6955508cc7497127c1872a4cbc22f4c91a11f17d 100644
--- a/Code/BasicFilters/otbFlexibleDistanceWithMissingValue.txx
+++ b/Code/BasicFilters/otbFlexibleDistanceWithMissingValue.txx
@@ -42,7 +42,7 @@ FlexibleDistanceWithMissingValue<TVector>
double temp, distance = itk::NumericTraits<double>::Zero;
- for (unsigned int i = 0; i < x1.Size(); i++)
+ for (unsigned int i = 0; i < x1.Size(); ++i)
{
if (!this->IsMissingValue(x1[i]) && !this->IsMissingValue(x2[i]))
{
@@ -74,7 +74,7 @@ FlexibleDistanceWithMissingValue<TVector>
double temp, distance = itk::NumericTraits<double>::Zero;
- for (unsigned int i = 0; i < measurementVectorSize; i++)
+ for (unsigned int i = 0; i < measurementVectorSize; ++i)
{
if (!this->IsMissingValue(this->GetOrigin()[i]) && !this->IsMissingValue(x[i]))
{
diff --git a/Code/BasicFilters/otbHorizontalSobelVectorImageFilter.h b/Code/BasicFilters/otbHorizontalSobelVectorImageFilter.h
index 45f59337d1ada2cbe27869b901976dca789e7636..5594904cbc4c78f3df7df6ec5a987653a00ff9dc 100644
--- a/Code/BasicFilters/otbHorizontalSobelVectorImageFilter.h
+++ b/Code/BasicFilters/otbHorizontalSobelVectorImageFilter.h
@@ -39,7 +39,7 @@ public:
{
unsigned int length = input.GetPixel(0).Size();
TOutput output ( length );
- for ( unsigned int i = 0; i < length; i++ )
+ for ( unsigned int i = 0; i < length; ++i )
{
output[i] = static_cast<typename TOutput::ValueType>(
( input.GetPixel(0)[i] - input.GetPixel(2)[i] )
diff --git a/Code/BasicFilters/otbImageAndVectorImageOperationFilter.h b/Code/BasicFilters/otbImageAndVectorImageOperationFilter.h
index d3fdee6a0d8491ca4363caefab744c6cac335850..3056b212ebe2eb62e58294c547db68d611be0693 100644
--- a/Code/BasicFilters/otbImageAndVectorImageOperationFilter.h
+++ b/Code/BasicFilters/otbImageAndVectorImageOperationFilter.h
@@ -89,7 +89,7 @@ public:
}
}
- for (unsigned int i = 0; i < vInTmp.Size(); i++)
+ for (unsigned int i = 0; i < vInTmp.Size(); ++i)
{
out[i] = static_cast<InternalInputPixelType>(vInTmp[i]);
}
diff --git a/Code/BasicFilters/otbLabelObjectOpeningMuParserFilter.txx b/Code/BasicFilters/otbLabelObjectOpeningMuParserFilter.txx
index b4df469a7c424cb0fa831fbb42d01ff4097982ca..a089ce485912140dfb37e19ef29cd13eeb9b99b1 100644
--- a/Code/BasicFilters/otbLabelObjectOpeningMuParserFilter.txx
+++ b/Code/BasicFilters/otbLabelObjectOpeningMuParserFilter.txx
@@ -131,7 +131,7 @@ void LabelObjectOpeningMuParserFilter<TImage, TFunction>::AllocateOutputs()
}
// If there are more than one outputs, allocate the remaining outputs
- for (unsigned int i = 1; i < this->GetNumberOfOutputs(); i++)
+ for (unsigned int i = 1; i < this->GetNumberOfOutputs(); ++i)
{
ImagePointer outputPtr;
@@ -185,13 +185,13 @@ void LabelObjectOpeningMuParserFilter<TImage, TFunction>::GenerateData()
if (!m_Functor(*labelObject))
{
// must increment the iterator before removing the object to avoid invalidating the iterator
- it++;
+ ++it;
output2->AddLabelObject(labelObject);
output->RemoveLabel(label);
}
else
{
- it++;
+ ++it;
}
progress.CompletedPixel();
diff --git a/Code/BasicFilters/otbLocalActivityVectorImageFilter.h b/Code/BasicFilters/otbLocalActivityVectorImageFilter.h
index 8e08cc2104d6f904a06f27ed21edd4462156a55f..a42227743d62d1ef13df30fff435396c29023115 100644
--- a/Code/BasicFilters/otbLocalActivityVectorImageFilter.h
+++ b/Code/BasicFilters/otbLocalActivityVectorImageFilter.h
@@ -52,15 +52,15 @@ public:
TOutput output ( vectorSize );
- for ( unsigned int i = 0; i < vectorSize; i++ )
+ for ( unsigned int i = 0; i < vectorSize; ++i )
{
typename TOutput::ValueType out
= itk::NumericTraits< typename TOutput::ValueType >::Zero;
- for ( unsigned int j = 0; j < neighborSize/2; j++ )
+ for ( unsigned int j = 0; j < neighborSize/2; ++j )
{
out += input.GetPixel(j)[i];
}
- for ( unsigned int j = neighborSize/2+1; j < neighborSize; j++ )
+ for ( unsigned int j = neighborSize/2+1; j < neighborSize; ++j )
{
out += input.GetPixel(j)[i];
}
diff --git a/Code/BasicFilters/otbLocalGradientVectorImageFilter.h b/Code/BasicFilters/otbLocalGradientVectorImageFilter.h
index 1018208011d8b80dcf37616244f28761a8c3f818..aa506342ff65f70c711eac2d54275c0b0ead9ce9 100644
--- a/Code/BasicFilters/otbLocalGradientVectorImageFilter.h
+++ b/Code/BasicFilters/otbLocalGradientVectorImageFilter.h
@@ -44,7 +44,7 @@ public:
*/
unsigned int length = input.GetPixel(0).Size();
TOutput output ( length );
- for ( unsigned int i = 0; i < length; i++ )
+ for ( unsigned int i = 0; i < length; ++i )
{
output[i] = static_cast<typename TOutput::ValueType>(
input.GetCenterPixel()[i]
diff --git a/Code/BasicFilters/otbMNFImageFilter.txx b/Code/BasicFilters/otbMNFImageFilter.txx
index 9e5d52fdcad9d43bc7d9dea4a61f33dbcab031a3..5522be4f7f79188132ac3f8f779abb10461be40b 100644
--- a/Code/BasicFilters/otbMNFImageFilter.txx
+++ b/Code/BasicFilters/otbMNFImageFilter.txx
@@ -295,19 +295,19 @@ MNFImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransf
}
VectorType revStdDev ( m_StdDevValues.Size() );
- for ( unsigned int i = 0; i < m_StdDevValues.Size(); i++ )
+ for ( unsigned int i = 0; i < m_StdDevValues.Size(); ++i )
revStdDev[i] = 1. / m_StdDevValues[i];
m_Normalizer->SetStdDev( revStdDev );
VectorType revMean ( m_MeanValues.Size() );
- for ( unsigned int i = 0; i < m_MeanValues.Size(); i++ )
+ for ( unsigned int i = 0; i < m_MeanValues.Size(); ++i )
revMean[i] = - m_MeanValues[i] / m_StdDevValues[i];
m_Normalizer->SetMean( revMean );
}
else
{
VectorType revMean ( m_MeanValues.Size() );
- for ( unsigned int i = 0; i < m_MeanValues.Size(); i++ )
+ for ( unsigned int i = 0; i < m_MeanValues.Size(); ++i )
revMean[i] = - m_MeanValues[i];
m_Normalizer->SetMean( revMean );
m_Normalizer->SetUseStdDev( false );
@@ -338,10 +338,10 @@ MNFImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransf
InternalMatrixType normMat //= transf.transpose() * An * transf;
= transf.transpose() * Ax_inv * transf;
- for ( unsigned int i = 0; i < transf.rows(); i++ )
+ for ( unsigned int i = 0; i < transf.rows(); ++i )
{
double norm = 1. / vcl_sqrt( normMat.get(i, i) );
- for ( unsigned int j = 0; j < transf.cols(); j++ )
+ for ( unsigned int j = 0; j < transf.cols(); ++j )
transf.put( j, i, transf.get(j, i) * norm );
}
@@ -354,7 +354,7 @@ MNFImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransf
m_TransformationMatrix = transf;
m_EigenValues.SetSize( m_NumberOfPrincipalComponentsRequired );
- for ( unsigned int i = 0; i < m_NumberOfPrincipalComponentsRequired; i++ )
+ for ( unsigned int i = 0; i < m_NumberOfPrincipalComponentsRequired; ++i )
m_EigenValues[i] = static_cast< RealType >( valP(i, i) );
}
@@ -370,10 +370,10 @@ MNFImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransf
if ( m_UseNormalization )
{
os << indent << "Normalisation with :\n" << indent << "Mean: ";
- for ( unsigned int i = 0; i < m_MeanValues.Size(); i++ )
+ for ( unsigned int i = 0; i < m_MeanValues.Size(); ++i )
os << m_MeanValues[i] << " ";
os << "\n" << indent << "StdDev: ";
- for ( unsigned int i = 0; i < m_StdDevValues.Size(); i++ )
+ for ( unsigned int i = 0; i < m_StdDevValues.Size(); ++i )
os << m_StdDevValues[i] << " ";
os << "\n";
}
@@ -413,7 +413,7 @@ MNFImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTransf
if ( m_EigenValues.Size() > 0 )
{
os << indent << "RMS value :";
- for ( unsigned int i = 0; i < m_EigenValues.Size(); i++ )
+ for ( unsigned int i = 0; i < m_EigenValues.Size(); ++i )
os << " " << m_EigenValues[i];
os << "\n";
}
diff --git a/Code/BasicFilters/otbMaskMuParserFunctor.txx b/Code/BasicFilters/otbMaskMuParserFunctor.txx
index fd95725afb505b8c0fe1c26d02a18dea6a34d064..dc6a43b3cffe4b1863b14cb4aa967887eca96aa3 100644
--- a/Code/BasicFilters/otbMaskMuParserFunctor.txx
+++ b/Code/BasicFilters/otbMaskMuParserFunctor.txx
@@ -52,7 +52,7 @@ bool MaskMuParserFunctor<TInputPixel>::operator()(const PixelType &p)
}
// we fill the buffer
- for (unsigned int i = 0; i < m_NbOfBands; i++)
+ for (unsigned int i = 0; i < m_NbOfBands; ++i)
{
m_AImage[i] = static_cast<double> (p[i]);
}
@@ -113,7 +113,7 @@ MaskMuParserFunctor<TInputPixel>::SetNumberOfBands(unsigned int NbOfBands)
m_AImage.resize(NbOfBands, 0.0);
- for (unsigned int i = 0; i < NbOfBands; i++)
+ for (unsigned int i = 0; i < NbOfBands; ++i)
{
varName << "b" << i + 1;
m_Parser->DefineVar(varName.str(), &(m_AImage[i]));
diff --git a/Code/BasicFilters/otbMatrixImageFilter.txx b/Code/BasicFilters/otbMatrixImageFilter.txx
index 25d51b818a99233a5e194883a46ac649456b3df3..26ab6f1563da4aa88f1f9db66f6ec55a84463c9d 100644
--- a/Code/BasicFilters/otbMatrixImageFilter.txx
+++ b/Code/BasicFilters/otbMatrixImageFilter.txx
@@ -101,14 +101,14 @@ void MatrixImageFilter<TInputImage, TOutputImage, TMatrix>::ThreadedGenerateData
OutputPixelType outPix;
outPix.SetSize(outSize);
- for(unsigned int i=0; i<inSize; i++)
+ for(unsigned int i=0; i<inSize; ++i)
{
inVect[i] = static_cast<InputRealType>(inPix[i]);
}
outVect = m_MatrixByVector ? m_Matrix*inVect : inVect*m_Matrix;
- for(unsigned int i=0; i<outSize; i++)
+ for(unsigned int i=0; i<outSize; ++i)
{
outPix[i] = static_cast<OutputInternalPixelType>(outVect[i]);
}
diff --git a/Code/BasicFilters/otbNAPCAImageFilter.txx b/Code/BasicFilters/otbNAPCAImageFilter.txx
index 8ec1f5024730b186abc7066b9c04aa298eb72712..090282ebe844ce7c0c576519d9558ba7d0c9f062 100644
--- a/Code/BasicFilters/otbNAPCAImageFilter.txx
+++ b/Code/BasicFilters/otbNAPCAImageFilter.txx
@@ -59,7 +59,7 @@ NAPCAImageFilter< TInputImage, TOutputImage, TNoiseImageFilter, TDirectionOfTran
this->m_TransformationMatrix = transf;
this->m_EigenValues.SetSize( this->GetNumberOfPrincipalComponentsRequired() );
- for ( unsigned int i = 0; i < this->GetNumberOfPrincipalComponentsRequired(); i++ )
+ for ( unsigned int i = 0; i < this->GetNumberOfPrincipalComponentsRequired(); ++i )
this->m_EigenValues[this->GetNumberOfPrincipalComponentsRequired()-1-i]
= static_cast< RealType >( vectValPadj[i] );
}
diff --git a/Code/BasicFilters/otbNormalizeVectorImageFilter.h b/Code/BasicFilters/otbNormalizeVectorImageFilter.h
index 077da0a10370e0cefd0975539fc4643b4c386cfb..6bb4d7cdafe41fd48d27398c5d7157dc1cf1e38d 100644
--- a/Code/BasicFilters/otbNormalizeVectorImageFilter.h
+++ b/Code/BasicFilters/otbNormalizeVectorImageFilter.h
@@ -49,7 +49,7 @@ public:
{
unsigned int length = input.Size();
TOutput output ( length );
- for ( unsigned int i = 0; i < length; i++ )
+ for ( unsigned int i = 0; i < length; ++i )
{
output[i] = static_cast<typename TOutput::ValueType>(
( static_cast< RealType >( input[i] ) - m_Mean[i] )
@@ -62,7 +62,7 @@ public:
void SetMean ( const itk::VariableLengthVector<T> & m )
{
m_Mean.SetSize( m.Size() );
- for ( unsigned int i = 0; i < m_Mean.Size(); i++ )
+ for ( unsigned int i = 0; i < m_Mean.Size(); ++i )
m_Mean[i] = static_cast< RealType >( m[i] );
}
@@ -75,7 +75,7 @@ public:
void SetStdDev ( const itk::VariableLengthVector<T> & sigma )
{
m_StdDev.SetSize( sigma.Size() );
- for ( unsigned int i = 0; i < m_StdDev.Size(); i++ )
+ for ( unsigned int i = 0; i < m_StdDev.Size(); ++i )
{
m_StdDev[i] = static_cast< RealType >( sigma[i] );
if ( m_StdDev[i] == itk::NumericTraits< RealType >::Zero )
@@ -90,7 +90,7 @@ public:
void SetVariance ( const itk::VariableLengthVector<T> & var )
{
m_StdDev.SetSize( var.Size() );
- for ( unsigned int i = 0; i < m_StdDev.Size(); i++ )
+ for ( unsigned int i = 0; i < m_StdDev.Size(); ++i )
{
m_StdDev[i] = vcl_sqrt( static_cast< RealType >( var[i] ) );
if ( m_StdDev[i] == itk::NumericTraits< RealType >::Zero )
diff --git a/Code/BasicFilters/otbNormalizeVectorImageFilter.txx b/Code/BasicFilters/otbNormalizeVectorImageFilter.txx
index b59ba8c147dea666f80244f6bca8383c60439a16..ba395638cd0cbd36b7cf0ebf5136206df63ad657 100644
--- a/Code/BasicFilters/otbNormalizeVectorImageFilter.txx
+++ b/Code/BasicFilters/otbNormalizeVectorImageFilter.txx
@@ -65,7 +65,7 @@ NormalizeVectorImageFilter< TInputImage, TOutputImage >
{
typename StreamingStatisticsVectorImageFilter< InputImageType >::RealPixelType sigma
( this->GetInput()->GetNumberOfComponentsPerPixel() );
- for ( unsigned int i = 0; i < sigma.Size(); i++ )
+ for ( unsigned int i = 0; i < sigma.Size(); ++i )
sigma[i] = vcl_sqrt( m_CovarianceEstimator->GetCovariance()(i, i) );
this->GetFunctor().SetStdDev( sigma );
diff --git a/Code/BasicFilters/otbOBIAMuParserFunctor.h b/Code/BasicFilters/otbOBIAMuParserFunctor.h
index f2da0732060bdd70a467342f7a4356123121ae6c..2f6fb20dcd50c6c271b1ea8f69ceac092fc65dc2 100644
--- a/Code/BasicFilters/otbOBIAMuParserFunctor.h
+++ b/Code/BasicFilters/otbOBIAMuParserFunctor.h
@@ -78,7 +78,7 @@ public:
this->SetAttributes(a);
}
- for (unsigned int i = 0; i < m_AAttributes.size(); i++)
+ for (unsigned int i = 0; i < m_AAttributes.size(); ++i)
{
std::string name = (m_AttributesName[i]);
@@ -112,7 +112,7 @@ public:
void ParseAttributeName(std::string &attributeName)
{
- for (unsigned int i = 0; i < attributeName.size(); i++)
+ for (unsigned int i = 0; i < attributeName.size(); ++i)
{
if (attributeName[i] == ':')
{
@@ -133,7 +133,7 @@ public:
m_AAttributes.resize(nbOfAttributes, 0.0);
m_AttributesName.resize(nbOfAttributes, "");
m_AttributesName = a.GetAvailableAttributes();
- for (unsigned int i = 0; i < nbOfAttributes; i++)
+ for (unsigned int i = 0; i < nbOfAttributes; ++i)
{
std::string attributeName = m_AttributesName.at(i);
ParseAttributeName(attributeName); //eliminate '::' from string name
@@ -151,7 +151,7 @@ public:
m_AAttributes.resize(nbOfAttributes, 0.0);
m_AttributesName.resize(nbOfAttributes, "");
std::ostringstream varName;
- for (unsigned int i = 0; i < shapeAttributes.size(); i++)
+ for (unsigned int i = 0; i < shapeAttributes.size(); ++i)
{
varName << "SHAPE::" << shapeAttributes.at(i);
@@ -163,7 +163,7 @@ public:
varName.str("");
index++;
}
- for (unsigned int i = 0; i < statAttributes.size(); i++)
+ for (unsigned int i = 0; i < statAttributes.size(); ++i)
{
for (unsigned int bandIndex = 1; bandIndex <= nbOfBands; bandIndex++)
{
diff --git a/Code/BasicFilters/otbPCAImageFilter.txx b/Code/BasicFilters/otbPCAImageFilter.txx
index b5cc741d455b33b9898a2f87b550ab627562c84c..a333a70d677f8e8b2621a6b9b08ff89ef03fda37 100644
--- a/Code/BasicFilters/otbPCAImageFilter.txx
+++ b/Code/BasicFilters/otbPCAImageFilter.txx
@@ -267,7 +267,7 @@ PCAImageFilter< TInputImage, TOutputImage, TDirectionOfTransformation >
if ( m_GivenStdDevValues )
{
VectorType revStdDev ( m_StdDevValues.Size() );
- for ( unsigned int i = 0; i < m_StdDevValues.Size(); i++ )
+ for ( unsigned int i = 0; i < m_StdDevValues.Size(); ++i )
revStdDev[i] = 1. / m_StdDevValues[i];
m_Normalizer->SetStdDev( revStdDev );
}
@@ -277,13 +277,13 @@ PCAImageFilter< TInputImage, TOutputImage, TDirectionOfTransformation >
VectorType revMean ( m_MeanValues.Size() );
if ( m_GivenStdDevValues )
{
- for ( unsigned int i = 0; i < m_MeanValues.Size(); i++ )
+ for ( unsigned int i = 0; i < m_MeanValues.Size(); ++i )
revMean[i] = - m_MeanValues[i] / m_StdDevValues[i];
m_Normalizer->SetUseStdDev( true );
}
else
{
- for ( unsigned int i = 0; i < m_MeanValues.Size(); i++ )
+ for ( unsigned int i = 0; i < m_MeanValues.Size(); ++i )
revMean[i] = -m_MeanValues[i];
m_Normalizer->SetUseStdDev( false );
}
@@ -331,7 +331,7 @@ PCAImageFilter< TInputImage, TOutputImage, TDirectionOfTransformation >
/*
* We used normalized PCA
*/
- for ( unsigned int i = 0; i < valP.size(); i++ )
+ for ( unsigned int i = 0; i < valP.size(); ++i )
{
if ( valP[i] != 0. )
valP[i] = 1. / vcl_sqrt( vcl_abs( valP[i] ) );
@@ -349,7 +349,7 @@ PCAImageFilter< TInputImage, TOutputImage, TDirectionOfTransformation >
m_EigenValues.SetSize( m_NumberOfPrincipalComponentsRequired );
- for ( unsigned int i = 0; i < m_NumberOfPrincipalComponentsRequired; i++ )
+ for ( unsigned int i = 0; i < m_NumberOfPrincipalComponentsRequired; ++i )
m_EigenValues[i] = static_cast< RealType >( valP[i] );
#else
InternalMatrixType transf;
@@ -357,11 +357,11 @@ PCAImageFilter< TInputImage, TOutputImage, TDirectionOfTransformation >
vnl_symmetric_eigensystem_compute( m_CovarianceMatrix.GetVnlMatrix(), transf, vectValP );
InternalMatrixType valP ( vectValP.size(), vectValP.size(), vnl_matrix_null );
- for ( unsigned int i = 0; i < vectValP.size(); i++ )
+ for ( unsigned int i = 0; i < vectValP.size(); ++i )
valP(i, i) = vectValP[i];
/* We used normalized PCA */
- for ( unsigned int i = 0; i < valP.rows(); i++ )
+ for ( unsigned int i = 0; i < valP.rows(); ++i )
{
if ( valP(i, i) > 0. )
{
@@ -388,7 +388,7 @@ PCAImageFilter< TInputImage, TOutputImage, TDirectionOfTransformation >
m_TransformationMatrix = transf;
m_EigenValues.SetSize( m_NumberOfPrincipalComponentsRequired );
- for ( unsigned int i = 0; i < m_NumberOfPrincipalComponentsRequired; i++ )
+ for ( unsigned int i = 0; i < m_NumberOfPrincipalComponentsRequired; ++i )
m_EigenValues[i] = static_cast< RealType >( valP(i, i) );
#endif
@@ -444,7 +444,7 @@ PCAImageFilter< TInputImage, TOutputImage, TDirectionOfTransformation >
if ( m_EigenValues.Size() > 0 )
{
os << indent << "Eigen value :";
- for ( unsigned int i = 0; i < m_NumberOfPrincipalComponentsRequired; i++ )
+ for ( unsigned int i = 0; i < m_NumberOfPrincipalComponentsRequired; ++i )
os << " " << m_EigenValues[i];
os << "\n";
}
diff --git a/Code/BasicFilters/otbPrintableImageFilter.h b/Code/BasicFilters/otbPrintableImageFilter.h
index e1217b5ac8b5638749d982394adddb85eae1219e..8715963f00d7b7666f8140362448c90b674cff95 100644
--- a/Code/BasicFilters/otbPrintableImageFilter.h
+++ b/Code/BasicFilters/otbPrintableImageFilter.h
@@ -79,7 +79,7 @@ public:
if (maskPix == m_BackgroundValue)
{
outPix.SetSize(inPix.Size());
- for (unsigned int i = 0; i < outPix.Size(); i++)
+ for (unsigned int i = 0; i < outPix.Size(); ++i)
{
outPix[i] = static_cast<OutputInternalPixelType>(inPix[i]);
}
diff --git a/Code/BasicFilters/otbPrintableImageFilter.txx b/Code/BasicFilters/otbPrintableImageFilter.txx
index c8f75397ea3d14c408b141df18f0d50dd9409533..146c65fd025850e33d745e3efd0dd67eca88d2d9 100644
--- a/Code/BasicFilters/otbPrintableImageFilter.txx
+++ b/Code/BasicFilters/otbPrintableImageFilter.txx
@@ -147,7 +147,7 @@ PrintableImageFilter<TInputImage, TMaskImage>
// let this loop to be compliant with previous version of the class where m_ChannelList didn't exist...
if (m_Extractor->GetNbChannels() == 0)
{
- for (unsigned int i = 0; i < m_ChannelList.size(); i++)
+ for (unsigned int i = 0; i < m_ChannelList.size(); ++i)
m_Extractor->SetChannel(m_ChannelList[i]);
}
diff --git a/Code/BasicFilters/otbProjectiveProjectionImageFilter.h b/Code/BasicFilters/otbProjectiveProjectionImageFilter.h
index d91ce928a804c76d10827ad7f746b0a9d3bbae2d..abb54f0959899ec6d9ceba0fa9e5ddd837c04412 100644
--- a/Code/BasicFilters/otbProjectiveProjectionImageFilter.h
+++ b/Code/BasicFilters/otbProjectiveProjectionImageFilter.h
@@ -71,13 +71,13 @@ public:
OutputType operator ()(const InputType& in)
{
PrecisionType dotProduct = 0;
- for (unsigned int i = 0; i < in.Size(); i++)
+ for (unsigned int i = 0; i < in.Size(); ++i)
{
dotProduct += in[i] * m_ProjectionDirection[i];
}
OutputType projected(in.Size());
- for (unsigned int j = 0; j < in.Size(); j++)
+ for (unsigned int j = 0; j < in.Size(); ++j)
{
projected[j] = in[j] / dotProduct;
}
diff --git a/Code/BasicFilters/otbRadiometryHomogenousWithNeighborhoodDataNodeFeatureFunction.txx b/Code/BasicFilters/otbRadiometryHomogenousWithNeighborhoodDataNodeFeatureFunction.txx
index 57253a51ac8d5059c259fa864629b69fd94d27ff..617912c67ca5fc8e3f89e7cc86b6d08f13ecefb7 100644
--- a/Code/BasicFilters/otbRadiometryHomogenousWithNeighborhoodDataNodeFeatureFunction.txx
+++ b/Code/BasicFilters/otbRadiometryHomogenousWithNeighborhoodDataNodeFeatureFunction.txx
@@ -108,7 +108,7 @@ typename RadiometryHomogenousWithNeighborhoodDataNodeFeatureFunction<TImage, TCo
orthogonalDirection[1] = -direction[0];
splitedLineIdCentral.push_back(IndexPairType(id1, id2));
- for (unsigned int j = 1; j <= m_CenterRadius; j++)
+ for (unsigned int j = 1; j <= m_CenterRadius; ++j)
{
IndexType shift11, shift12;
shift11[0] = id1[0] - j * orthogonalDirection[0];
@@ -125,7 +125,7 @@ typename RadiometryHomogenousWithNeighborhoodDataNodeFeatureFunction<TImage, TCo
splitedLineIdCentral.push_back(IndexPairType(shift12, shift22));
}
- for (unsigned int j = m_NeighborhoodBeginRadius; j <= m_NeighborhoodEndRadius; j++)
+ for (unsigned int j = m_NeighborhoodBeginRadius; j <= m_NeighborhoodEndRadius; ++j)
{
IndexType shift11, shift12;
shift11[0] = id1[0] - j * orthogonalDirection[0];
@@ -158,7 +158,7 @@ typename RadiometryHomogenousWithNeighborhoodDataNodeFeatureFunction<TImage, TCo
PixelType centralRadiomAcc(this->GetInputImage()->GetNumberOfComponentsPerPixel());
centralRadiomAcc.Fill(0);
- for (unsigned int i = 0; i < splitedLineIdCentral.size(); i++)
+ for (unsigned int i = 0; i < splitedLineIdCentral.size(); ++i)
{
LineIteratorType lineIt(this->GetInputImage(), splitedLineIdCentral[i].first, splitedLineIdCentral[i].second);
lineIt.GoToBegin();
@@ -179,7 +179,7 @@ typename RadiometryHomogenousWithNeighborhoodDataNodeFeatureFunction<TImage, TCo
PixelType neighborRadiomAcc(this->GetInputImage()->GetNumberOfComponentsPerPixel());
neighborRadiomAcc.Fill(0);
- for (unsigned int i = 0; i < splitedLineIdNeigh.size(); i++)
+ for (unsigned int i = 0; i < splitedLineIdNeigh.size(); ++i)
{
LineIteratorType lineIt(this->GetInputImage(), splitedLineIdNeigh[i].first, splitedLineIdNeigh[i].second);
lineIt.GoToBegin();
diff --git a/Code/BasicFilters/otbReliefColormapFunctor.txx b/Code/BasicFilters/otbReliefColormapFunctor.txx
index b381f39abd22c01a15770d4bfdcdf054305ec2cd..fc7958c96909668361b3a2e11a9ed491ec90c32d 100644
--- a/Code/BasicFilters/otbReliefColormapFunctor.txx
+++ b/Code/BasicFilters/otbReliefColormapFunctor.txx
@@ -40,7 +40,7 @@ ReliefColormapFunctor<TScalar, TRGBPixel>
int i = 1;
while (value > m_Borders[i])
- i++;
+ ++i;
float factor = (value - m_Borders[i - 1]) / (m_Borders[i] - m_Borders[i - 1]);
diff --git a/Code/BasicFilters/otbSobelVectorImageFilter.h b/Code/BasicFilters/otbSobelVectorImageFilter.h
index 936800629b8b4f0f1c464a99439849ad08c36030..6931c006693bd63b1fba94d9df8ad40be4b5b7a2 100644
--- a/Code/BasicFilters/otbSobelVectorImageFilter.h
+++ b/Code/BasicFilters/otbSobelVectorImageFilter.h
@@ -41,7 +41,7 @@ public:
{
unsigned int length = input.GetPixel(0).Size();
TOutput output ( length );
- for ( unsigned int i = 0; i < length; i++ )
+ for ( unsigned int i = 0; i < length; ++i )
{
double hori = static_cast<double>(
( input.GetPixel(0)[i] - input.GetPixel(2)[i] )
diff --git a/Code/BasicFilters/otbSpectralAngleDataNodeFeatureFunction.txx b/Code/BasicFilters/otbSpectralAngleDataNodeFeatureFunction.txx
index 743e157b4b9ca56cb94ddf0db0af3c7697d13d47..1982f3c57a1fef6ea71e50762e63cf336cfc2453 100644
--- a/Code/BasicFilters/otbSpectralAngleDataNodeFeatureFunction.txx
+++ b/Code/BasicFilters/otbSpectralAngleDataNodeFeatureFunction.txx
@@ -116,7 +116,7 @@ typename SpectralAngleDataNodeFeatureFunction<TImage, TCoordRep, TPrecision>::Ou
splitedLineIdCentral.push_back(IndexPairType(id1, id2));
- for (unsigned int j = 1; j <= m_Radius; j++)
+ for (unsigned int j = 1; j <= m_Radius; ++j)
{
IndexType shift11, shift12;
shift11[0] = id1[0] - j * orthogonalDirection[0];
@@ -147,7 +147,7 @@ typename SpectralAngleDataNodeFeatureFunction<TImage, TCoordRep, TPrecision>::Ou
//double centralAccSpectralAngleSecondOrder = 0.;
double centralNbVisitedPixel = 0.;
- for (unsigned int i = 0; i < splitedLineIdCentral.size(); i++)
+ for (unsigned int i = 0; i < splitedLineIdCentral.size(); ++i)
{
LineIteratorType lineIt(this->GetInputImage(), splitedLineIdCentral[i].first, splitedLineIdCentral[i].second);
lineIt.GoToBegin();
diff --git a/Code/BasicFilters/otbUnaryFunctorNeighborhoodVectorImageFilter.txx b/Code/BasicFilters/otbUnaryFunctorNeighborhoodVectorImageFilter.txx
index 5f79d7c942ac6b23641a4ea187c326d64ffe542d..7709d13146f8dddcee8ed628403cdbe15a53ffc3 100644
--- a/Code/BasicFilters/otbUnaryFunctorNeighborhoodVectorImageFilter.txx
+++ b/Code/BasicFilters/otbUnaryFunctorNeighborhoodVectorImageFilter.txx
@@ -36,7 +36,7 @@ UnaryFunctorNeighborhoodVectorImageFilter<TInputImage, TOutputImage, TFunction>
{
this->SetNumberOfRequiredInputs(1);
this->InPlaceOff();
- for ( unsigned int i = 0; i < InputImageDimension; i++ )
+ for ( unsigned int i = 0; i < InputImageDimension; ++i )
m_Radius[i] = 3;
}
diff --git a/Code/BasicFilters/otbVectorDataToRandomLineGenerator.txx b/Code/BasicFilters/otbVectorDataToRandomLineGenerator.txx
index ebaecfb96e88c2d06a8f8a6eeb95b935f36eb5a9..a2ed84a2237369b664d9db8c1887a6c6a76ad675 100644
--- a/Code/BasicFilters/otbVectorDataToRandomLineGenerator.txx
+++ b/Code/BasicFilters/otbVectorDataToRandomLineGenerator.txx
@@ -135,7 +135,7 @@ VectorDataToRandomLineGenerator<TVectorData>
if (itVector.Get()->IsPolygonFeature())
{
- for(unsigned int i=0; i<this->GetNumberOfOutputLine(); i++)
+ for(unsigned int i=0; i<this->GetNumberOfOutputLine(); ++i)
{
typename DataNodeType::Pointer currentGeometry = DataNodeType::New();
currentGeometry->SetNodeId(this->GetNextID());
diff --git a/Code/BasicFilters/otbVerticalSobelVectorImageFilter.h b/Code/BasicFilters/otbVerticalSobelVectorImageFilter.h
index 455d25559dc392769b17fd12afa053dfaf3e68fe..e5b541d000639957e5ede9e05b8455b6d9ff4641 100644
--- a/Code/BasicFilters/otbVerticalSobelVectorImageFilter.h
+++ b/Code/BasicFilters/otbVerticalSobelVectorImageFilter.h
@@ -39,7 +39,7 @@ public:
{
unsigned int length = input.GetPixel(0).Size();
TOutput output ( length );
- for ( unsigned int i = 0; i < length; i++ )
+ for ( unsigned int i = 0; i < length; ++i )
{
output[i] = static_cast<typename TOutput::ValueType>(
( input.GetPixel(0)[i] - input.GetPixel(6)[i] )
diff --git a/Code/Common/otbCommandLineArgumentParser.cxx b/Code/Common/otbCommandLineArgumentParser.cxx
index 2801de83babe6cfb24dd1c632bcc5ddd3f0af8c3..98e92a44c81b5006576d6fcfcacecdcd84b4e303 100644
--- a/Code/Common/otbCommandLineArgumentParser.cxx
+++ b/Code/Common/otbCommandLineArgumentParser.cxx
@@ -310,7 +310,7 @@ bool CommandLineArgumentParser::TryParseCommandLine(int argc, char *argv[],
}
// Check that all required arguments are specified
- for (unsigned int cpt = 0; cpt < m_OptionList.size(); cpt++)
+ for (unsigned int cpt = 0; cpt < m_OptionList.size(); ++cpt)
{
if ((m_OptionList[cpt].Obligatory == true) && (m_OptionList[cpt].Finded == false))
{
@@ -344,7 +344,7 @@ bool CommandLineArgumentParser::IsNumber(const std::string& text)
return false;
}
}
- i++;
+ ++i;
}
return true;
}
@@ -364,7 +364,7 @@ bool CommandLineArgumentParser::FindOption(const std::string& option, int& index
goOnFlag = false;
optionFoundFlag = true;
}
- cpt++;
+ ++cpt;
if (cpt >= m_OptionList.size())
{
goOnFlag = false;
diff --git a/Code/Common/otbDataNodeImageFunction.h b/Code/Common/otbDataNodeImageFunction.h
index b141c1c442ddbd5bb76d2a542847334fee101817..bed4bf7a26402aed96a10035ba5318766b4ee281 100644
--- a/Code/Common/otbDataNodeImageFunction.h
+++ b/Code/Common/otbDataNodeImageFunction.h
@@ -114,7 +114,7 @@ public:
* the input image is done. */
virtual bool IsInsideBuffer( const IndexType & index ) const
{
- for( unsigned int j = 0; j < ImageDimension; j++ )
+ for( unsigned int j = 0; j < ImageDimension; ++j )
{
if( index[j] < m_StartIndex[j] )
{
@@ -133,7 +133,7 @@ public:
* the input image is done. */
virtual bool IsInsideBuffer( const ContinuousIndexType & index ) const
{
- for( unsigned int j = 0; j < ImageDimension; j++ )
+ for( unsigned int j = 0; j < ImageDimension; ++j )
{
if( index[j] < m_StartContinuousIndex[j] )
{
diff --git a/Code/Common/otbDataNodeImageFunction.txx b/Code/Common/otbDataNodeImageFunction.txx
index c6bb0e380ea2a5beffa158fd30b4a6e8a4ea9c1d..e4c77ebf031cf9dc1875b8d680524a8c6d8e926a 100644
--- a/Code/Common/otbDataNodeImageFunction.txx
+++ b/Code/Common/otbDataNodeImageFunction.txx
@@ -74,7 +74,7 @@ DataNodeImageFunction<TImage, TOutput, TCoordRep, TPrecision>
typename InputImageType::SizeType size = ptr->GetBufferedRegion().GetSize();
m_StartIndex = ptr->GetBufferedRegion().GetIndex();
- for ( unsigned int j = 0; j < ImageDimension; j++ )
+ for ( unsigned int j = 0; j < ImageDimension; ++j )
{
m_EndIndex[j] = m_StartIndex[j] + static_cast<IndexValueType>( size[j] ) - 1;
#ifdef ITK_USE_CENTERED_PIXEL_COORDINATES_CONSISTENTLY
diff --git a/Code/Common/otbGamma.h b/Code/Common/otbGamma.h
index 998a6822f38d705a075b060ae665e4db2222b063..83f89c3c2f8fdfe45456dfc1d19c3ca0638c9ef7 100644
--- a/Code/Common/otbGamma.h
+++ b/Code/Common/otbGamma.h
@@ -68,7 +68,7 @@ public:
if (x > 0.0)
{
ga = 1.0; // use factorial
- for (int i = 2; i < x; i++)
+ for (int i = 2; i < x; ++i)
{
ga *= i;
}
@@ -82,7 +82,7 @@ public:
z = vcl_abs(x);
m = (int)z;
r = 1.0;
- for (int k = 1; k <= m; k++)
+ for (int k = 1; k <= m; ++k)
{
r *= (z-k);
}
diff --git a/Code/Common/otbGenericInterpolateImageFunction.txx b/Code/Common/otbGenericInterpolateImageFunction.txx
index 99e97e4977fc3b2e523b8591e76d045f28d6098d..0dfcceb9a84e7eb4f6e27749fe24f4075cec173a 100644
--- a/Code/Common/otbGenericInterpolateImageFunction.txx
+++ b/Code/Common/otbGenericInterpolateImageFunction.txx
@@ -233,7 +233,7 @@ GenericInterpolateImageFunction<TInputImage, TFunction, TBoundaryCondition, TCoo
/* double xWeight[ImageDimension][ twiceRadius]; */
std::vector<std::vector<double> > xWeight;
xWeight.resize(ImageDimension);
- for (unsigned int cpt = 0; cpt < xWeight.size(); cpt++)
+ for (unsigned int cpt = 0; cpt < xWeight.size(); ++cpt)
{
xWeight[cpt].resize(twiceRadius);
}
diff --git a/Code/Common/otbLineSpatialObject.txx b/Code/Common/otbLineSpatialObject.txx
index a9a163980cbd52c0e6287d75bd0afc3ab05ea502..b413417a9de5842e3b9d97bef648daa63e137507 100644
--- a/Code/Common/otbLineSpatialObject.txx
+++ b/Code/Common/otbLineSpatialObject.txx
@@ -70,7 +70,7 @@ LineSpatialObject<VDimension>
while (it != end)
{
m_Points.push_back(*it);
- it++;
+ ++it;
}
this->ComputeBoundingBox();
@@ -117,13 +117,13 @@ LineSpatialObject<VDimension>
ptmax[1] = pt[1] + 1;
const_cast<BoundingBoxType *>(this->GetBounds())->SetMinimum(ptmin);
const_cast<BoundingBoxType *>(this->GetBounds())->SetMaximum(ptmax);
- it++;
+ ++it;
while (it != end)
{
PointType pt = this->GetIndexToWorldTransform()->TransformPoint((*it).GetPosition());
const_cast<BoundingBoxType *>(this->GetBounds())->ConsiderPoint(pt);
- it++;
+ ++it;
}
}
@@ -207,7 +207,7 @@ LineSpatialObject<VDimension>
}
}
it1++;
- it2++;
+ ++it2;
}
}
diff --git a/Code/Common/otbPolyLineParametricPathWithValue.txx b/Code/Common/otbPolyLineParametricPathWithValue.txx
index 165cf0701315aa2793e13f5166479a008012a501..1877346e7707bc9b0d7d1972e1e8b30f16324caf 100644
--- a/Code/Common/otbPolyLineParametricPathWithValue.txx
+++ b/Code/Common/otbPolyLineParametricPathWithValue.txx
@@ -68,7 +68,7 @@ PolyLineParametricPathWithValue<TValue, VDimension>
VertexType pt1 = it.Value(); //just init, won't be used like that
VertexType pt2 = it.Value();
- it++;
+ ++it;
while (it != this->GetVertexList()->End())
{
pt1 = pt2;
@@ -79,7 +79,7 @@ PolyLineParametricPathWithValue<TValue, VDimension>
accum += (pt1[i] - pt2[i]) * (pt1[i] - pt2[i]);
}
length += vcl_sqrt(accum);
- it++;
+ ++it;
}
}
@@ -105,7 +105,7 @@ PolyLineParametricPathWithValue<TValue, VDimension>
while (it != this->GetVertexList()->End())
{
os << it.Value() << " - ";
- it++;
+ ++it;
}
os << std::endl;
}
diff --git a/Code/Common/otbPolygon.txx b/Code/Common/otbPolygon.txx
index 824cf8f2557be6e22a4eb289ced298f56d55cbbe..b17ffe1e1610d71e70d5b66be4ee911c68890438 100644
--- a/Code/Common/otbPolygon.txx
+++ b/Code/Common/otbPolygon.txx
@@ -432,7 +432,7 @@ Polygon<TValue>
{
double area = 0.0;
VertexType origin = it.Value();
- it++;
+ ++it;
VertexType pt1 = it.Value();
VertexType pt2 = it.Value();
@@ -447,7 +447,7 @@ Polygon<TValue>
double vector2y = pt2[1] - origin[1];
double crossProdduct = vector1x * vector2y - vector2x * vector1y;
area += crossProdduct;
- it++;
+ ++it;
}
m_Area = fabs(area / 2.0);
@@ -493,7 +493,7 @@ double Polygon<TValue>
VertexType pt1 = it.Value(); //just init, won't be used like that
VertexType pt2 = it.Value();
- it++;
+ ++it;
while (it != this->GetVertexList()->End())
{
pt1 = pt2;
@@ -504,7 +504,7 @@ double Polygon<TValue>
accum += (pt1[i] - pt2[i]) * (pt1[i] - pt2[i]);
}
length += vcl_sqrt(accum);
- it++;
+ ++it;
}
//Adding the last segment (between first and last point)
diff --git a/Code/Common/otbPostGISTable.txx b/Code/Common/otbPostGISTable.txx
index f445b28e8a7ac7885c2dce7677b197719d5d46a8..247db098becd292cb847adad2d385c726ec95984 100644
--- a/Code/Common/otbPostGISTable.txx
+++ b/Code/Common/otbPostGISTable.txx
@@ -78,7 +78,7 @@ PostGISTable<TConnectionImplementation, TPrecision, TSpatialDimension>
std::stringstream sqlCmd;
this->InsertBegin(sqlCmd);
sqlCmd << "POINT( ";
- for (unsigned int i = 0; i < TSpatialDimension; i++)
+ for (unsigned int i = 0; i < TSpatialDimension; ++i)
{
sqlCmd << pt[i] << " ";
}
@@ -103,7 +103,7 @@ PostGISTable<TConnectionImplementation, TPrecision, TSpatialDimension>
VertexIterator itVertex = l->GetVertexList()->Begin();
while (itVertex != l->GetVertexList()->End())
{
- for (unsigned int i = 0; i < TSpatialDimension; i++)
+ for (unsigned int i = 0; i < TSpatialDimension; ++i)
{
sqlCmd << itVertex.Value()[i] << " ";
++itVertex;
@@ -181,7 +181,7 @@ PostGISTable<TConnectionImplementation, TPrecision, TSpatialDimension>
while (itVertex != correctCurrentPolygonIntRing->GetVertexList()->End())
{
//polygon->line_to(itVertex.Value()[0], m_SensorModelFlip*itVertex.Value()[1]);
- for (unsigned int i = 0; i < TSpatialDimension; i++)
+ for (unsigned int i = 0; i < TSpatialDimension; ++i)
{
sqlCmd << itVertex.Value()[i] << " ";
++itVertex;
diff --git a/Code/Common/otbSubsampledImageRegionConstIterator.txx b/Code/Common/otbSubsampledImageRegionConstIterator.txx
index 7feeff2e314a4c59be3b1bd2500af261b8a16ea4..6a9f14f2920ad3f469a4e730bf4ccbe58be89fc0 100644
--- a/Code/Common/otbSubsampledImageRegionConstIterator.txx
+++ b/Code/Common/otbSubsampledImageRegionConstIterator.txx
@@ -234,29 +234,29 @@ SubsampledImageRegionConstIterator<TImage>
#if 0
// #ifndef NDEBUG
std::cerr << "InitialImageSize (";
- for (unsigned int i = 0; i < ImageIteratorDimension - 1; i++)
+ for (unsigned int i = 0; i < ImageIteratorDimension - 1; ++i)
std::cerr << this->m_Region.GetSize()[i] << ", ";
std::cerr << this->m_Region.GetSize()[ImageIteratorDimension - 1] << ") with index (";
- for (unsigned int i = 0; i < ImageIteratorDimension - 1; i++)
+ for (unsigned int i = 0; i < ImageIteratorDimension - 1; ++i)
std::cerr << this->m_Region.GetIndex()[i] << ", ";
std::cerr << this->m_Region.GetIndex()[ImageIteratorDimension - 1] << ")\n";
std::cerr << "NewRegionSize (";
- for (unsigned int i = 0; i < ImageIteratorDimension - 1; i++)
+ for (unsigned int i = 0; i < ImageIteratorDimension - 1; ++i)
std::cerr << size[i] << ", ";
std::cerr << size[ImageIteratorDimension - 1] << ") with index (";
- for (unsigned int i = 0; i < ImageIteratorDimension - 1; i++)
+ for (unsigned int i = 0; i < ImageIteratorDimension - 1; ++i)
std::cerr << startIndex[i] << ", ";
std::cerr << startIndex[ImageIteratorDimension - 1] << ")\n";
std::cerr << "FirstIndex (";
- for (unsigned int i = 0; i < ImageIteratorDimension - 1; i++)
+ for (unsigned int i = 0; i < ImageIteratorDimension - 1; ++i)
std::cerr << m_FirstUsableIndex[i] << ", ";
std::cerr << m_FirstUsableIndex[ImageIteratorDimension - 1] << ") offset=";
std::cerr << m_SubSampledBeginOffset << "\n";
std::cerr << "LastIndex (";
- for (unsigned int i = 0; i < ImageIteratorDimension - 1; i++)
+ for (unsigned int i = 0; i < ImageIteratorDimension - 1; ++i)
std::cerr << m_LastUsableIndex[i] << ", ";
std::cerr << m_LastUsableIndex[ImageIteratorDimension - 1] << ") offset=";
std::cerr << m_SubSampledEndOffset << "\n";
diff --git a/Code/Common/otbVariableLengthVectorConverter.txx b/Code/Common/otbVariableLengthVectorConverter.txx
index bfb43dbe67598a46dc3bb19fa99022c91471fbf1..df2860116e01f19f9dff0e48a8d71d52114b6857 100644
--- a/Code/Common/otbVariableLengthVectorConverter.txx
+++ b/Code/Common/otbVariableLengthVectorConverter.txx
@@ -41,17 +41,17 @@ VariableLengthVectorConverter< std::vector<std::vector<TInternalInputType> >, TP
p = input.size();
- for (unsigned int l=0; l<p; l++)
+ for (unsigned int l=0; l<p; ++l)
{
count+=input.at(l).size();
}
result.SetSize(count);
- for (unsigned int i=0; i<p; i++)
+ for (unsigned int i=0; i<p; ++i)
{
q = input.at(i).size();
- for (unsigned int j=0; j<q; j++)
+ for (unsigned int j=0; j<q; ++j)
{
result[rsltIdx] = static_cast<OutputPrecisionType>(input.at(i).at(j));
rsltIdx ++;
@@ -77,17 +77,17 @@ VariableLengthVectorConverter< std::vector<std::vector<std::complex<TInternalInp
p = input.size();
- for (unsigned int l=0; l<p; l++)
+ for (unsigned int l=0; l<p; ++l)
{
count+=input.at(l).size();
}
result.SetSize(count*2);
- for (unsigned int i=0; i<p; i++)
+ for (unsigned int i=0; i<p; ++i)
{
q = input.at(i).size();
- for (unsigned int j=0; j<q; j++)
+ for (unsigned int j=0; j<q; ++j)
{
result[rsltIdx] = static_cast<OutputPrecisionType>(input.at(i).at(j).real());
rsltIdx ++;
@@ -110,7 +110,7 @@ VariableLengthVectorConverter< itk::FixedArray<TInternalInputType, VArrayDimensi
result.SetSize(VArrayDimension);
- for (unsigned int i=0; i<VArrayDimension; i++)
+ for (unsigned int i=0; i<VArrayDimension; ++i)
{
result[rsltIdx] = static_cast<OutputPrecisionType>(input[i]);
rsltIdx ++;
@@ -135,7 +135,7 @@ VariableLengthVectorConverter< itk::SmartPointer< itk::Statistics::Histogram<TPi
result.SetSize(nbBins[0]);
- for (unsigned int i=0; i<nbBins[0]; i++)
+ for (unsigned int i=0; i<nbBins[0]; ++i)
{
result[rsltIdx] = static_cast<OutputPrecisionType>(input->GetFrequency(i));
rsltIdx ++;
diff --git a/Code/Common/otbVectorDataExtractROI.txx b/Code/Common/otbVectorDataExtractROI.txx
index 5f3071d8e0b4b8a52a613565f666459333a7e776..71b88dd3d6bb8ae0014c86e5ebfc833c952fae8f 100644
--- a/Code/Common/otbVectorDataExtractROI.txx
+++ b/Code/Common/otbVectorDataExtractROI.txx
@@ -252,7 +252,7 @@ VectorDataExtractROI<TVectorData>
// Get the VertexList
// -2 cause we don't want the last point
// wich is the same as the first one (closed Ring)
- for (unsigned int i = 0; i<polygon->GetVertexList()->Size() - 2; i++ )
+ for (unsigned int i = 0; i<polygon->GetVertexList()->Size() - 2; ++i )
{
// Get the components of the polygon 2 by 2
VertexType firstVertex;
@@ -291,7 +291,7 @@ VectorDataExtractROI<TVectorData>
else
{
// Get the VertexList
- for (unsigned int i = 0; i<line->GetVertexList()->Size() -1; i++ )
+ for (unsigned int i = 0; i<line->GetVertexList()->Size() -1; ++i )
{
// Get the components of the line 2 by 2
VertexType firstVertex;
diff --git a/Code/Common/otbVectorDataToImageFilter.txx b/Code/Common/otbVectorDataToImageFilter.txx
index f475d444106a2161ad3de597e77c26884e194924..1e45a4f58bd84bc9cf9822ad441feec7a5a571d6 100644
--- a/Code/Common/otbVectorDataToImageFilter.txx
+++ b/Code/Common/otbVectorDataToImageFilter.txx
@@ -274,9 +274,9 @@ VectorDataToImageFilter<TVectorData, TImage>
stdXOffset = vcl_floor((double)requestedRegion.GetSize()[0]/ (m_NbTile/2))+1;
stdYOffset = vcl_floor((double)requestedRegion.GetSize()[1]/ (m_NbTile/2))+1;
- for(unsigned int i=0; i < vcl_floor((double)(m_NbTile)/2 + 0.5); i++)
+ for(unsigned int i=0; i < vcl_floor((double)(m_NbTile)/2 + 0.5); ++i)
{
- for(unsigned int j=0; j < vcl_floor((double)(m_NbTile)/2 + 0.5); j++)
+ for(unsigned int j=0; j < vcl_floor((double)(m_NbTile)/2 + 0.5); ++j)
{
//Set Regions
SizeType size;
diff --git a/Code/FeatureExtraction/otbImageToPathListAlignFilter.txx b/Code/FeatureExtraction/otbImageToPathListAlignFilter.txx
index bbcd9711bd8ad21a5c396171a0e8623b432e1522..ae5fe59dccb24be7c782af324d2b51613adc9103 100644
--- a/Code/FeatureExtraction/otbImageToPathListAlignFilter.txx
+++ b/Code/FeatureExtraction/otbImageToPathListAlignFilter.txx
@@ -460,7 +460,7 @@ ImageToPathListAlignFilter<TInputImage, TOutputPath>
}
}
/* compute next point */
- l++;
+ ++l;
xx = ox + pos * mx + (int) (dx * (double) (l * 2 + lphase));
yy = oy + pos * my + (int) (dy * (double) (l * 2 + lphase));
}
diff --git a/Code/FeatureExtraction/otbImageToSURFKeyPointSetFilter.txx b/Code/FeatureExtraction/otbImageToSURFKeyPointSetFilter.txx
index 559f20ef27da5058794a519ab8cdf9e070accf8f..cc8e50df7e23b5a790a9f2c0b1d25045adebc9d7 100644
--- a/Code/FeatureExtraction/otbImageToSURFKeyPointSetFilter.txx
+++ b/Code/FeatureExtraction/otbImageToSURFKeyPointSetFilter.txx
@@ -88,7 +88,7 @@ ImageToSURFKeyPointSetFilter<TInputImage, TOutputPointSet>
else k = 3;
/* Computation loop over octaves*/
- for (int i = 0; i < m_OctavesNumber; i++)
+ for (int i = 0; i < m_OctavesNumber; ++i)
{
sigma_in = 2.;
@@ -126,7 +126,7 @@ ImageToSURFKeyPointSetFilter<TInputImage, TOutputPointSet>
}
- for (int j = 0; j < m_ScalesNumber; j++)
+ for (int j = 0; j < m_ScalesNumber; ++j)
{
/** Incrementation of the gaussian width
* the width of the gaussian have to be doubled for
@@ -682,14 +682,14 @@ ImageToSURFKeyPointSetFilter<TInputImage, TOutputPointSet>
}
}
}
- i++;
+ ++i;
}
double accu = 0;
- for (int i = 0; i < 64; i++)
+ for (int i = 0; i < 64; ++i)
accu += descriptorVector[i] * descriptorVector[i];
- for (int j = 0; j < 64; j++)
+ for (int j = 0; j < 64; ++j)
descriptorVector[j] /= vcl_sqrt(accu);
return descriptorVector;
diff --git a/Code/FeatureExtraction/otbLineSegmentDetector.txx b/Code/FeatureExtraction/otbLineSegmentDetector.txx
index fc9eb39b0e711e4f8677004fc2373fe3c0ad2874..233b8e1373ba894b087c62a48287fdf0dcd4afff 100644
--- a/Code/FeatureExtraction/otbLineSegmentDetector.txx
+++ b/Code/FeatureExtraction/otbLineSegmentDetector.txx
@@ -660,7 +660,7 @@ LineSegmentDetector<TInputImage, TPrecision>
/**
* Loop for searching regions
*/
- for (unsigned int cpt = 0; cpt < region.size(); cpt++)
+ for (unsigned int cpt = 0; cpt < region.size(); ++cpt)
{
itNeigh.SetLocation(region[cpt]);
itNeighDir.SetLocation(region[cpt]);
diff --git a/Code/Fuzzy/otbFuzzyDescriptorsModelManager.cxx b/Code/Fuzzy/otbFuzzyDescriptorsModelManager.cxx
index d137c8dc464300b5aa100cbef5b3d8da5db3d99e..91adc636e3a05204d9407601d62726452c5fb624 100644
--- a/Code/Fuzzy/otbFuzzyDescriptorsModelManager.cxx
+++ b/Code/Fuzzy/otbFuzzyDescriptorsModelManager.cxx
@@ -76,12 +76,12 @@ void
FuzzyDescriptorsModelManager
::Print( const DescriptorsModelType & descModel )
{
- for(unsigned int i=0; i<descModel.size(); i++)
+ for(unsigned int i=0; i<descModel.size(); ++i)
{
std::cout<<"Descriptor "<<descModel[i].first<<" parameters:" <<std::endl;
const ParameterType & param = descModel[i].second;
- for(unsigned int j=0; j<param.size(); j++)
+ for(unsigned int j=0; j<param.size(); ++j)
{
std::cout<<param[j]<<" ";
}
@@ -182,7 +182,7 @@ FuzzyDescriptorsModelManager
doc.LinkEndChild( root );
// Iterate through the input
- for (unsigned int i = 0; i < model.size(); i++)
+ for (unsigned int i = 0; i < model.size(); ++i)
{
// The current statistic
TiXmlElement * desc = new TiXmlElement("Descriptor");
diff --git a/Code/Fuzzy/otbStandardDSCostFunction.txx b/Code/Fuzzy/otbStandardDSCostFunction.txx
index 2cf37dd9fedaec72fa5c016df1479e1ec2f3288d..bc58a1f481cfa767c1536f9797192c38ad5ec988 100644
--- a/Code/Fuzzy/otbStandardDSCostFunction.txx
+++ b/Code/Fuzzy/otbStandardDSCostFunction.txx
@@ -57,10 +57,10 @@ typename StandardDSCostFunction<TDSValidationFilter>
m_Parser->SetExpr(m_CriterionFormula);
DescriptorsModelType descModel;
- for (unsigned int i = 0; i < m_DescriptorList.size(); i++)
+ for (unsigned int i = 0; i < m_DescriptorList.size(); ++i)
{
std::vector<double> tmp;
- for (unsigned int j = 0; j < 4; j++)
+ for (unsigned int j = 0; j < 4; ++j)
{
tmp.push_back(parameters[4*i+j]);
}
diff --git a/Code/Fuzzy/otbVectorDataToDSValidatedVectorDataFilter.txx b/Code/Fuzzy/otbVectorDataToDSValidatedVectorDataFilter.txx
index 3d88dba6e57c06e3deef5f15ceae4e6cb70e2f44..139bd2f782b00c34eab2a2d095a19b918f33c485 100644
--- a/Code/Fuzzy/otbVectorDataToDSValidatedVectorDataFilter.txx
+++ b/Code/Fuzzy/otbVectorDataToDSValidatedVectorDataFilter.txx
@@ -60,11 +60,11 @@ VectorDataToDSValidatedVectorDataFilter<TVectorData, TPrecision>
}
else
{
- for (unsigned int i=0; i<m_DescriptorModels.size(); i++)
+ for (unsigned int i=0; i<m_DescriptorModels.size(); ++i)
{
if (m_DescriptorModels[i].first.compare(key) == 0)
{
- for (unsigned int j=0; j<4; j++)
+ for (unsigned int j=0; j<4; ++j)
{
m_DescriptorModels[i].second.at(j) = model[j];
}
@@ -94,7 +94,7 @@ void
VectorDataToDSValidatedVectorDataFilter<TVectorData, TPrecision>
::SetDescriptorModels(DescriptorModelsType model)
{
- for (unsigned int i=0; i<model.size(); i++)
+ for (unsigned int i=0; i<model.size(); ++i)
{
this->AddDescriptor(model[i].first, model[i].second);
}
@@ -112,7 +112,7 @@ VectorDataToDSValidatedVectorDataFilter<TVectorData, TPrecision>
itkExceptionMacro(<< "No defined Descriptor. Please add a descriptor model.");
}
- for (unsigned int i=0; i<m_DescriptorModels.size(); i++)
+ for (unsigned int i=0; i<m_DescriptorModels.size(); ++i)
{
typename FuzzyVarType::Pointer fuz = FuzzyVarType::New();
std::string fuzName, fuzName_;
@@ -170,7 +170,7 @@ VectorDataToDSValidatedVectorDataFilter<TVectorData, TPrecision>
typename DataNodeType::Pointer currentGeometry = itVector.Get();
typename JointMassOfBeliefFilterType::Pointer jointMassFilter = JointMassOfBeliefFilterType::New();
- for (unsigned int i=0; i<m_DescriptorModels.size(); i++)
+ for (unsigned int i=0; i<m_DescriptorModels.size(); ++i)
{
if (currentGeometry->HasField(m_DescriptorModels[i].first))
{
diff --git a/Code/Hyperspectral/otbEigenvalueLikelihoodMaximisation.txx b/Code/Hyperspectral/otbEigenvalueLikelihoodMaximisation.txx
index 765bf5f8f26bf9b1630a904c485156c1de636a61..3087b39c0db3907ae702cd86193b36105be29c0b 100644
--- a/Code/Hyperspectral/otbEigenvalueLikelihoodMaximisation.txx
+++ b/Code/Hyperspectral/otbEigenvalueLikelihoodMaximisation.txx
@@ -81,7 +81,7 @@ EigenvalueLikelihoodMaximisation<TInputImage>
// Extract first local maximum
double max = m_Likelihood[0];
unsigned int iMax = 0;
- for (unsigned int i = 1; i < m_Likelihood.size() - 1; i++)
+ for (unsigned int i = 1; i < m_Likelihood.size() - 1; ++i)
{
if ( (m_Likelihood[i] > m_Likelihood[i - 1])
&& (m_Likelihood[i] > m_Likelihood[i + 1]) )
diff --git a/Code/Hyperspectral/otbFCLSUnmixingImageFilter.txx b/Code/Hyperspectral/otbFCLSUnmixingImageFilter.txx
index 8de826ce3ce9fd77e8d98c16691c22a73523a714..8a6885feab484fbd321ce1d876d17316d8dca50a 100644
--- a/Code/Hyperspectral/otbFCLSUnmixingImageFilter.txx
+++ b/Code/Hyperspectral/otbFCLSUnmixingImageFilter.txx
@@ -104,7 +104,7 @@ FCLSUnmixingFunctor<TInput, TOutput, TPrecision>
{
// TODO : support different types between input and output ?
VectorType inVector(in.Size());
- for (unsigned int i = 0; i < in.GetSize(); i++ )
+ for (unsigned int i = 0; i < in.GetSize(); ++i )
{
inVector[i] = in[i];
}
@@ -137,7 +137,7 @@ FCLSUnmixingFunctor<TInput, TOutput, TPrecision>
}
OutputType out(fclsVector.size());
- for (unsigned int i = 0; i < out.GetSize(); i++ )
+ for (unsigned int i = 0; i < out.GetSize(); ++i )
{
out[i] = fclsVector[i];
}
diff --git a/Code/Hyperspectral/otbISRAUnmixingImageFilter.txx b/Code/Hyperspectral/otbISRAUnmixingImageFilter.txx
index 6fa00eebeaa84019ec93cac3c76b456764342c0a..4b1bb48a1cb172578263af6d454c24bac1d4cbbd 100644
--- a/Code/Hyperspectral/otbISRAUnmixingImageFilter.txx
+++ b/Code/Hyperspectral/otbISRAUnmixingImageFilter.txx
@@ -91,7 +91,7 @@ ISRAUnmixingFunctor<TInput, TOutput, TPrecision>
{
// TODO : support different types between input and output ?
VectorType inVector(in.Size());
- for (unsigned int i = 0; i < in.GetSize(); i++ )
+ for (unsigned int i = 0; i < in.GetSize(); ++i )
{
inVector[i] = in[i];
}
@@ -135,7 +135,7 @@ ISRAUnmixingFunctor<TInput, TOutput, TPrecision>
}
OutputType out(outVector.size());
- for (unsigned int i = 0; i < out.GetSize(); i++ )
+ for (unsigned int i = 0; i < out.GetSize(); ++i )
{
out[i] = outVector[i];
}
diff --git a/Code/Hyperspectral/otbLocalRxDetectorFilter.txx b/Code/Hyperspectral/otbLocalRxDetectorFilter.txx
index 7c9118b86ac2fcc2b1ae59edf10485e52e345e0c..f97e5cedffdf2779dce065cc64642e2294e54dae 100644
--- a/Code/Hyperspectral/otbLocalRxDetectorFilter.txx
+++ b/Code/Hyperspectral/otbLocalRxDetectorFilter.txx
@@ -171,13 +171,13 @@ LocalRxDetectorFilter<TInputImage, TOutputImage>
testPixVec = inputPtr->GetPixel(inputIt.GetIndex());
VectorMeasurementType meanVec(meanVector->GetNumberOfElements());
- for(unsigned int i = 0; i < meanVector->GetNumberOfElements(); i++)
+ for(unsigned int i = 0; i < meanVector->GetNumberOfElements(); ++i)
{
meanVec.SetElement(i, meanVector->GetElement(i));
}
typename MatrixType::InternalMatrixType centeredTestPixMat(meanVector->GetNumberOfElements(), 1);
- for (unsigned int i = 0; i < centeredTestPixMat.rows(); i++)
+ for (unsigned int i = 0; i < centeredTestPixMat.rows(); ++i)
{
centeredTestPixMat.put(i, 0, (testPixVec.GetElement(i) - meanVector->GetElement(i)));
}
diff --git a/Code/Hyperspectral/otbLocalRxDetectorNonThreadFilter.txx b/Code/Hyperspectral/otbLocalRxDetectorNonThreadFilter.txx
index a61ce9917fa5c801972f55aeead9f1071d35668c..35a383d25f01d1b83318a59870ea2bbb9d03077b 100644
--- a/Code/Hyperspectral/otbLocalRxDetectorNonThreadFilter.txx
+++ b/Code/Hyperspectral/otbLocalRxDetectorNonThreadFilter.txx
@@ -151,13 +151,13 @@ LocalRxDetectorNonThreadFilter<TInputImage, TOutputImage>
testPixVec = inputPtr->GetPixel(inputIt.GetIndex());
VectorMeasurementType meanVec(meanVector->GetNumberOfElements());
- for(unsigned int i = 0; i < meanVector->GetNumberOfElements(); i++)
+ for(unsigned int i = 0; i < meanVector->GetNumberOfElements(); ++i)
{
meanVec.SetElement(i, meanVector->GetElement(i));
}
typename MatrixType::InternalMatrixType centeredTestPixMat(meanVector->GetNumberOfElements(), 1);
- for (unsigned int i = 0; i < centeredTestPixMat.rows(); i++)
+ for (unsigned int i = 0; i < centeredTestPixMat.rows(); ++i)
{
centeredTestPixMat.put(i, 0, (testPixVec.GetElement(i) - meanVector->GetElement(i)));
}
diff --git a/Code/Hyperspectral/otbNCLSUnmixingImageFilter.txx b/Code/Hyperspectral/otbNCLSUnmixingImageFilter.txx
index 4d62702dfb705e1815db2e6ab89ec8322992eae3..50bd43b675932cb5b7dfc219839e07b9c9aee662 100644
--- a/Code/Hyperspectral/otbNCLSUnmixingImageFilter.txx
+++ b/Code/Hyperspectral/otbNCLSUnmixingImageFilter.txx
@@ -93,7 +93,7 @@ NCLSUnmixingFunctor<TInput, TOutput, TPrecision>
{
// TODO : support different types between input and output ?
VectorType inVector(in.Size());
- for (unsigned int i = 0; i < in.GetSize(); i++ )
+ for (unsigned int i = 0; i < in.GetSize(); ++i )
{
inVector[i] = in[i];
}
@@ -119,7 +119,7 @@ NCLSUnmixingFunctor<TInput, TOutput, TPrecision>
}
OutputType out(nclsVector.size());
- for (unsigned int i = 0; i < out.GetSize(); i++ )
+ for (unsigned int i = 0; i < out.GetSize(); ++i )
{
out[i] = nclsVector[i];
}
diff --git a/Code/Hyperspectral/otbSparseUnmixingImageFilter.txx b/Code/Hyperspectral/otbSparseUnmixingImageFilter.txx
index b92ce4fe8785f724725847e7e227432cbaeeb58c..ca29a8949847eab0a318b0ebace06c3ce221d987 100644
--- a/Code/Hyperspectral/otbSparseUnmixingImageFilter.txx
+++ b/Code/Hyperspectral/otbSparseUnmixingImageFilter.txx
@@ -147,7 +147,7 @@ SparseUnmixingImageFilter< TInputImage, TOutputImage, TPrecision, TMotherWavelet
progress->RegisterInternalFilter(m_Transformer, 0.25f);
this->SetNumberOfOutputs( m_Transformer->GetNumberOfOutputs() );
- for ( unsigned int i = 0; i < this->GetNumberOfOutputs(); i++ )
+ for ( unsigned int i = 0; i < this->GetNumberOfOutputs(); ++i )
{
this->SetNthOutput(i, OutputImageType::New());
m_Transformer->GraftNthOutput( i, this->GetOutput(i) );
@@ -155,7 +155,7 @@ SparseUnmixingImageFilter< TInputImage, TOutputImage, TPrecision, TMotherWavelet
m_Transformer->Update();
- for ( unsigned int i = 0; i < this->GetNumberOfOutputs(); i++ )
+ for ( unsigned int i = 0; i < this->GetNumberOfOutputs(); ++i )
{
this->GraftNthOutput( i, m_Transformer->GetOutput(i) );
}
diff --git a/Code/Hyperspectral/otbUnConstrainedLeastSquareImageFilter.h b/Code/Hyperspectral/otbUnConstrainedLeastSquareImageFilter.h
index 177fe5acdfe11f336c499dfbd3d100da0fd17cb5..8bbf95254c6ff236220ceadabb02396c6dfe0352 100644
--- a/Code/Hyperspectral/otbUnConstrainedLeastSquareImageFilter.h
+++ b/Code/Hyperspectral/otbUnConstrainedLeastSquareImageFilter.h
@@ -74,7 +74,7 @@ public:
{
// TODO : support different types between input and output ?
VectorType inVector(in.Size());
- for (unsigned int i = 0; i < in.GetSize(); i++ )
+ for (unsigned int i = 0; i < in.GetSize(); ++i )
{
inVector[i] = in[i];
}
@@ -82,7 +82,7 @@ public:
VectorType outVector = m_Inv * inVector;
OutputType out(outVector.size());
- for (unsigned int i = 0; i < out.GetSize(); i++ )
+ for (unsigned int i = 0; i < out.GetSize(); ++i )
{
out[i] = outVector[i];
}
diff --git a/Code/Hyperspectral/otbVcaImageFilter.txx b/Code/Hyperspectral/otbVcaImageFilter.txx
index f2a9c2654e668716e5dad93678c28e0fe931f4ec..43e0bcfcb4fc09ca8927d27c35834f3be96b6509 100644
--- a/Code/Hyperspectral/otbVcaImageFilter.txx
+++ b/Code/Hyperspectral/otbVcaImageFilter.txx
@@ -368,7 +368,7 @@ void VCAImageFilter<TImage>::GenerateData()
{
vnl_vector<PrecisionType> e = E.get_column(i);
typename VectorImageType::PixelType pixel(input->GetNumberOfComponentsPerPixel());
- for (unsigned int j = 0; j < e.size(); j++)
+ for (unsigned int j = 0; j < e.size(); ++j)
{
pixel[j] = E(j, i);
}
diff --git a/Code/IO/otbGDALImageIO.cxx b/Code/IO/otbGDALImageIO.cxx
index e5f1950313f7afabb60c86163fc3603c694bf3e2..8c2ceee0fdb5871f0bf2c8af94c1488f178ead71 100644
--- a/Code/IO/otbGDALImageIO.cxx
+++ b/Code/IO/otbGDALImageIO.cxx
@@ -529,7 +529,7 @@ bool GDALImageIO::GetSubDatasetInfo(std::vector<std::string> &names, std::vector
( (strcmp(m_Dataset->GetDataSet()->GetDriver()->GetDescription(),"HDF4") == 0) ||
(strcmp(m_Dataset->GetDataSet()->GetDriver()->GetDescription(),"HDF5") == 0) ) )
{
- for (int cpt = 0; papszMetadata[cpt] != NULL; cpt++)
+ for (int cpt = 0; papszMetadata[cpt] != NULL; ++cpt)
{
std::string key, name;
if (System::ParseHdfSubsetName(papszMetadata[cpt], key, name))
@@ -587,7 +587,7 @@ void GDALImageIO::InternalReadImageInformation()
std::vector<std::string> names;
if( CSLCount(papszMetadata) > 0 )
{
- for( int cpt = 0; papszMetadata[cpt] != NULL; cpt++ )
+ for( int cpt = 0; papszMetadata[cpt] != NULL; ++cpt )
{
std::string key, name;
if (System::ParseHdfSubsetName(papszMetadata[cpt], key, name))
@@ -874,7 +874,7 @@ void GDALImageIO::InternalReadImageInformation()
itk::EncapsulateMetaData<unsigned int>(dict, MetaDataKey::GCPCountKey, gcpCount);
- for (unsigned int cpt = 0; cpt < gcpCount; cpt++)
+ for (unsigned int cpt = 0; cpt < gcpCount; ++cpt)
{
const GDAL_GCP *psGCP;
@@ -909,7 +909,7 @@ void GDALImageIO::InternalReadImageInformation()
if (dataset->GetGeoTransform(adfGeoTransform) == CE_None)
{
- for (int cpt = 0; cpt < 6; cpt++)
+ for (int cpt = 0; cpt < 6; ++cpt)
VadfGeoTransform.push_back(adfGeoTransform[cpt]);
itk::EncapsulateMetaData<MetaDataKey::VectorType>(dict, MetaDataKey::GeoTransformKey, VadfGeoTransform);
@@ -948,7 +948,7 @@ void GDALImageIO::InternalReadImageInformation()
{
std::string key;
- for (int cpt = 0; papszMetadata[cpt] != NULL; cpt++)
+ for (int cpt = 0; papszMetadata[cpt] != NULL; ++cpt)
{
std::ostringstream lStream;
lStream << MetaDataKey::MetadataKey << cpt;
@@ -968,7 +968,7 @@ void GDALImageIO::InternalReadImageInformation()
{
std::string key;
- for (int cpt = 0; papszMetadata[cpt] != NULL; cpt++)
+ for (int cpt = 0; papszMetadata[cpt] != NULL; ++cpt)
{
std::ostringstream lStream;
lStream << MetaDataKey::SubMetadataKey << cpt;
diff --git a/Code/IO/otbImageFileReader.txx b/Code/IO/otbImageFileReader.txx
index 82c4539516151d5602fea149bae8bf3fb73d9889..b29af061f8c70beda129ebd1f6829559f4d6e7b9 100644
--- a/Code/IO/otbImageFileReader.txx
+++ b/Code/IO/otbImageFileReader.txx
@@ -545,7 +545,7 @@ ImageFileReader<TOutputImage>
fic_trouve = true;
}
}
- cpt++;
+ ++cpt;
}
}
else
diff --git a/Code/IO/otbImageToOSMVectorDataGenerator.txx b/Code/IO/otbImageToOSMVectorDataGenerator.txx
index 3945954082c28e2d659c505878a9ebcc9394e92f..c86a524c63cb0c30bb2cf19d870bcaf84310f722 100644
--- a/Code/IO/otbImageToOSMVectorDataGenerator.txx
+++ b/Code/IO/otbImageToOSMVectorDataGenerator.txx
@@ -118,7 +118,7 @@ ImageToOSMVectorDataGenerator<TImage>
vindex.push_back(index3);
vindex.push_back(index4);
- for (unsigned int i = 0; i < vindex.size(); i++)
+ for (unsigned int i = 0; i < vindex.size(); ++i)
{
PointType physicalPoint;
input->TransformIndexToPhysicalPoint(vindex[i], physicalPoint);
@@ -133,7 +133,7 @@ ImageToOSMVectorDataGenerator<TImage>
double minY = voutput[0][1];
double maxY = voutput[0][1];
- for (unsigned int i = 0; i < voutput.size(); i++)
+ for (unsigned int i = 0; i < voutput.size(); ++i)
{
// Origins
if (minX > voutput[i][0])
diff --git a/Code/IO/otbKmzProductWriter.txx b/Code/IO/otbKmzProductWriter.txx
index 194528185f8e33bbb9c0d714d848e13f5c12d9e2..80984554d1c16e3d7da74a98f737e6ecb89ba2bf 100644
--- a/Code/IO/otbKmzProductWriter.txx
+++ b/Code/IO/otbKmzProductWriter.txx
@@ -211,7 +211,7 @@ void
KmzProductWriter<TInputImage>
::ProcessLegends()
{
- for (unsigned int idx = 0; idx < m_LegendVector.size(); idx++)
+ for (unsigned int idx = 0; idx < m_LegendVector.size(); ++idx)
{
std::ostringstream legendName;
legendName << m_Path;
@@ -283,7 +283,7 @@ KmzProductWriter<TInputImage>
// Compute nbTile
int nbTile = 0;
- for (int i = 0; i <= maxDepth; i++)
+ for (int i = 0; i <= maxDepth; ++i)
{
int ratio = static_cast<int>(vcl_pow(2., (maxDepth - i)));
nbTile += (((sizeX / ratio) / m_TileSize) + 1) * (((sizeY / ratio) / m_TileSize) + 1);
@@ -861,7 +861,7 @@ KmzProductWriter<TInputImage>
m_RootKmlFile << "\t\t\t\t\t<description>" << std::endl;
m_RootKmlFile << "\t\t\t\t\t\t<![CDATA[ Legend of the product " << m_FileName << std::endl;
- for(unsigned int idx = 0; idx < m_LegendVector.size(); idx++)
+ for(unsigned int idx = 0; idx < m_LegendVector.size(); ++idx)
m_RootKmlFile << "\t\t\t\t\t\t<img src=\"legends/legend_"<< idx <<".jpeg\" width=\"215\" height=\"175\" >";
m_RootKmlFile << "\t\t\t\t\t\t ]]>" << std::endl;
@@ -1410,7 +1410,7 @@ KmzProductWriter<TInputImage>
while (i < tempName.length())
{
if (tempName[i] != ' ') currentImageName += tempName[i];
- i++;
+ ++i;
}
return currentImageName;
diff --git a/Code/IO/otbOGRIOHelper.cxx b/Code/IO/otbOGRIOHelper.cxx
index ffb99c79f20a080af94bc9ecd670c3c8ceeea6b3..fb3b6becb5cd19e487e2a90e0a13db5c918004b0 100644
--- a/Code/IO/otbOGRIOHelper.cxx
+++ b/Code/IO/otbOGRIOHelper.cxx
@@ -731,7 +731,7 @@ unsigned int OGRIOHelper
ogrFeature = OGRFeature::CreateFeature(ogrCurrentLayer->GetLayerDefn());
// Add the fields to the features
- for (unsigned int i = 0; i < kwl.GetNumberOfFields(); i++)
+ for (unsigned int i = 0; i < kwl.GetNumberOfFields(); ++i)
{
// Get the key of the Nth OGRFieldRefn
const char * key = kwl.GetNthField(i).first->GetNameRef();
@@ -789,7 +789,7 @@ unsigned int OGRIOHelper
ogrFeature = OGRFeature::CreateFeature(ogrCurrentLayer->GetLayerDefn());
// Add the fields to the features
- for (unsigned int i = 0; i < kwl.GetNumberOfFields(); i++)
+ for (unsigned int i = 0; i < kwl.GetNumberOfFields(); ++i)
{
// Get the key of the Nth OGRFieldRefn
const char * key = kwl.GetNthField(i).first->GetNameRef();
@@ -874,7 +874,7 @@ unsigned int OGRIOHelper
ogrFeature = OGRFeature::CreateFeature(ogrCurrentLayer->GetLayerDefn());
// Add the fields to the features
- for (unsigned int i = 0; i < kwl.GetNumberOfFields(); i++)
+ for (unsigned int i = 0; i < kwl.GetNumberOfFields(); ++i)
{
// Get the key of the Nth OGRFieldRefn
const char * key = kwl.GetNthField(i).first->GetNameRef();
diff --git a/Code/IO/otbOSMDataToVectorDataGenerator.cxx b/Code/IO/otbOSMDataToVectorDataGenerator.cxx
index 96a1a7e55324df64d0b61e7d46cf5e5bd3f93fb0..f0f9c6c3338176943383a3f5f31692bcceaa1465 100644
--- a/Code/IO/otbOSMDataToVectorDataGenerator.cxx
+++ b/Code/IO/otbOSMDataToVectorDataGenerator.cxx
@@ -249,7 +249,7 @@ OSMDataToVectorDataGenerator::AddKeyTypeToMap(const std::string& key, const std:
bool found = false;
// Add the type if not present
- for(unsigned int i = 0; i < currentTypes.size(); i++)
+ for(unsigned int i = 0; i < currentTypes.size(); ++i)
{
if(currentTypes[i].compare(value) == 0)
found = true;
@@ -291,7 +291,7 @@ OSMDataToVectorDataGenerator::ProcessVectorData(const std::string& key, const st
m_OutputVectorData->GetDataTree()->Add(folder, document);
// Form the vector data with the values parsed
- for(unsigned int idx = 0; idx < m_VectorDataElementList.size(); idx++)
+ for(unsigned int idx = 0; idx < m_VectorDataElementList.size(); ++idx)
{
// Instanciate a datanode
DataNodeType::Pointer currentDataNode = DataNodeType::New();
@@ -396,7 +396,7 @@ OSMDataToVectorDataGenerator::GetVectorDataByName(const std::string& key, const
bool
OSMDataToVectorDataGenerator::IsKeyPresent(const std::string& key)
{
- for(unsigned int i = 0; i < m_KeyList.size(); i++)
+ for(unsigned int i = 0; i < m_KeyList.size(); ++i)
if(m_KeyList[i].compare(key) == 0)
return true;
diff --git a/Code/IO/otbScalarBufferToImageFileWriter.txx b/Code/IO/otbScalarBufferToImageFileWriter.txx
index cd317451cb09c507f7cf70fdd016b43a25b78228..3692da51b8d1ece9dd7d027d4e1d6316684c36e1 100644
--- a/Code/IO/otbScalarBufferToImageFileWriter.txx
+++ b/Code/IO/otbScalarBufferToImageFileWriter.txx
@@ -74,10 +74,10 @@ ScalarBufferToImageFileWriter<TBufferType, TOutputPixelType>::GenerateData()
unsigned int cpt(0);
while( it.IsAtEnd()==false )
{
- for(unsigned int i=0; i<m_NumberOfChannels; i++)
+ for(unsigned int i=0; i<m_NumberOfChannels; ++i)
{
lPix[i] = static_cast<OutputPixelType>(m_Buffer[cpt]);
- cpt++;
+ ++cpt;
}
it.Set( lPix );
@@ -95,7 +95,7 @@ ScalarBufferToImageFileWriter<TBufferType, TOutputPixelType>::GenerateData()
IndexType index = it.GetIndex();
cpt = (m_ImageSize[1] - 1 - index[1]) * m_NumberOfChannels * m_ImageSize[0] + m_NumberOfChannels * index[0];
- for(unsigned int i=0; i<m_NumberOfChannels; i++)
+ for(unsigned int i=0; i<m_NumberOfChannels; ++i)
{
lPix[i] = static_cast<OutputPixelType>(m_Buffer[cpt+i]);
}
diff --git a/Code/IO/otbSpectralSensitivityReader.cxx b/Code/IO/otbSpectralSensitivityReader.cxx
index b29cd843351c488e6181aa034df1930667208cd0..acf52c95a5b39b366f45e64db928804010d7902f 100644
--- a/Code/IO/otbSpectralSensitivityReader.cxx
+++ b/Code/IO/otbSpectralSensitivityReader.cxx
@@ -152,7 +152,7 @@ SpectralSensitivityReader
{
mini = atof(keywordStrings[0].c_str());
nbBands = keywordStrings.size() - 2;
- for (unsigned int j = 0; j < nbBands; j++)
+ for (unsigned int j = 0; j < nbBands; ++j)
{
wavelengthSpectralBand->PushBack(FilterFunctionValues::New());
ValuesVectorType temp;
@@ -163,7 +163,7 @@ SpectralSensitivityReader
if (nbBands != keywordStrings.size() - 2) itkExceptionMacro(<< "Invalid file format");
- for (unsigned int i = 0; i < nbBands; i++)
+ for (unsigned int i = 0; i < nbBands; ++i)
{
valuesVector[i].push_back(atof(keywordStrings[i + 2].c_str()));
}
@@ -171,7 +171,7 @@ SpectralSensitivityReader
maxi = atof(keywordStrings[0].c_str());
} //while ( std::getline( file, line ) )
- for (unsigned int j = 0; j < nbBands; j++)
+ for (unsigned int j = 0; j < nbBands; ++j)
{
wavelengthSpectralBand->GetNthElement(j)->SetFilterFunctionValues(valuesVector[j]);
wavelengthSpectralBand->GetNthElement(j)->SetMinSpectralValue(mini);
diff --git a/Code/IO/otbTerraSarImageMetadataInterface.cxx b/Code/IO/otbTerraSarImageMetadataInterface.cxx
index fa9f2a6481c7ed41eea7c0c692d67a67e81b0d29..dd06873cf4ec0a5585dbc19a792fb9384fe6c2e6 100644
--- a/Code/IO/otbTerraSarImageMetadataInterface.cxx
+++ b/Code/IO/otbTerraSarImageMetadataInterface.cxx
@@ -409,7 +409,7 @@ TerraSarImageMetadataInterface::GetNoisePolynomialDegrees() const
std::ostringstream oss;
unsigned int nbRec = this->GetNumberOfNoiseRecords();
- for (unsigned int i = 0; i < nbRec; i++)
+ for (unsigned int i = 0; i < nbRec; ++i)
{
oss.str("");
oss << "noise[" << i << "]imageNoise.noiseEstimate.polynomialDegree";
@@ -447,7 +447,7 @@ TerraSarImageMetadataInterface
polCoef.clear();
// set <= condition because degree N means N+1 coeff
- for (unsigned int j = 0; j <= polDegs; j++)
+ for (unsigned int j = 0; j <= polDegs; ++j)
{
oss.str("");
oss << "noise[" << noiseRecord << "]imageNoise.noiseEstimate.coefficient[" << j << "]";
@@ -484,11 +484,11 @@ TerraSarImageMetadataInterface::GetNoisePolynomialCoefficientsList() const
DoubleVectorType polCoef;
std::ostringstream oss;
- for (unsigned int i = 0; i < nbRec; i++)
+ for (unsigned int i = 0; i < nbRec; ++i)
{
polCoef.clear();
// set <= condition because degree N means N+1 coeff
- for (unsigned int j = 0; j <= polDegs.size(); j++)
+ for (unsigned int j = 0; j <= polDegs.size(); ++j)
{
oss.str("");
oss << "noise[" << i << "]imageNoise.noiseEstimate.coefficient[" << j << "]";
@@ -585,7 +585,7 @@ TerraSarImageMetadataInterface::GetNoiseTimeUTCList() const
std::ostringstream oss;
unsigned int nbRec = this->GetNumberOfNoiseRecords();
- for (unsigned int i = 0; i < nbRec; i++)
+ for (unsigned int i = 0; i < nbRec; ++i)
{
oss.str("");
oss << "noise[" << i << "]imageNoise.timeUTC";
@@ -618,7 +618,7 @@ TerraSarImageMetadataInterface::GetNoiseValidityRangeMaxList() const
std::ostringstream oss;
unsigned int nbRec = this->GetNumberOfNoiseRecords();
- for (unsigned int i = 0; i < nbRec; i++)
+ for (unsigned int i = 0; i < nbRec; ++i)
{
oss.str("");
oss << "noise[" << i << "]imageNoise.noiseEstimate.validityRangeMax";
@@ -649,7 +649,7 @@ TerraSarImageMetadataInterface::GetNoiseValidityRangeMinList() const
std::ostringstream oss;
unsigned int nbRec = this->GetNumberOfNoiseRecords();
- for (unsigned int i = 0; i < nbRec; i++)
+ for (unsigned int i = 0; i < nbRec; ++i)
{
oss.str("");
oss << "noise[" << i << "]imageNoise.noiseEstimate.validityRangeMin";
@@ -710,7 +710,7 @@ TerraSarImageMetadataInterface::GetNoiseReferencePointList() const
std::ostringstream oss;
unsigned int nbRec = this->GetNumberOfNoiseRecords();
- for (unsigned int i = 0; i < nbRec; i++)
+ for (unsigned int i = 0; i < nbRec; ++i)
{
oss.str("");
oss << "noise[" << i << "]imageNoise.noiseEstimate.referencePoint";
@@ -825,7 +825,7 @@ TerraSarImageMetadataInterface::GetMeanIncidenceAngles() const
unsigned int nbAngles = this->GetNumberOfCornerIncidenceAngles();
std::ostringstream oss;
- for (unsigned int i = 0; i < nbAngles; i++)
+ for (unsigned int i = 0; i < nbAngles; ++i)
{
oss.str("");
oss << "sceneCoord.sceneCornerCoord[" << i << "].incidenceAngle";
@@ -895,7 +895,7 @@ TerraSarImageMetadataInterface::GetCornersIncidenceAngles() const
std::ostringstream oss;
unsigned int nbAngles = this->GetNumberOfCornerIncidenceAngles();
- for (unsigned int i = 0; i < nbAngles; i++)
+ for (unsigned int i = 0; i < nbAngles; ++i)
{
oss.str("");
oss << "sceneCoord.sceneCornerCoord[" << i << "].incidenceAngle";
@@ -926,7 +926,7 @@ TerraSarImageMetadataInterface::GetCornersIncidenceAnglesIndex() const
std::ostringstream oss2;
unsigned int nbAngles = this->GetNumberOfCornerIncidenceAngles();
- for (unsigned int i = 0; i < nbAngles; i++)
+ for (unsigned int i = 0; i < nbAngles; ++i)
{
TerraSarImageMetadataInterface::IndexType it;
diff --git a/Code/IO/otbTileMapImageIO.cxx b/Code/IO/otbTileMapImageIO.cxx
index 11f25e511a59a6782d04f0d65f1b147f7bd094af..a9f4d1bfff8eced7a1a569cf61079ece8a8083a5 100644
--- a/Code/IO/otbTileMapImageIO.cxx
+++ b/Code/IO/otbTileMapImageIO.cxx
@@ -389,7 +389,7 @@ void TileMapImageIO::BuildFileName(const std::ostringstream& quad, std::ostrings
{
directory << "/";
directory << (quad.str().c_str())[i];
- i++;
+ ++i;
}
itksys::SystemTools::MakeDirectory(directory.str().c_str());
@@ -677,7 +677,7 @@ void TileMapImageIO::InternalWrite(double x, double y, const void* buffer)
imageIO->WriteImageInformation();
itk::ImageIORegion ioRegion(2);
- for (unsigned int i = 0; i < 2; i++)
+ for (unsigned int i = 0; i < 2; ++i)
{
ioRegion.SetSize(i, m_TileSize);
ioRegion.SetIndex(i, 0);
diff --git a/Code/IO/otbVectorDataAdapter.txx b/Code/IO/otbVectorDataAdapter.txx
index b0bc4287fe7013c5d592e9df061ef3dec51460bb..a7ad11ccfbd8f9308b972b6b80291febfedc2a64 100644
--- a/Code/IO/otbVectorDataAdapter.txx
+++ b/Code/IO/otbVectorDataAdapter.txx
@@ -65,7 +65,7 @@ VectorDataAdapter<TInputVectorData, TOutputVectorData>
// fixme handle 2.5D ?
newLine->AddVertex(index);
- it++;
+ ++it;
}
return newLine;
@@ -94,7 +94,7 @@ VectorDataAdapter<TInputVectorData, TOutputVectorData>
// fixme handle 2.5D ?
newPolygon->AddVertex(index);
- it++;
+ ++it;
}
return newPolygon;
}
diff --git a/Code/Learning/otbConfusionMatrixCalculator.txx b/Code/Learning/otbConfusionMatrixCalculator.txx
index 3c83b37447378ce2f65dc2139ca279b1a86e6f99..5a8b9bbf713996bfadb606f41734bab4ab302244 100644
--- a/Code/Learning/otbConfusionMatrixCalculator.txx
+++ b/Code/Learning/otbConfusionMatrixCalculator.txx
@@ -92,7 +92,7 @@ ConfusionMatrixCalculator<TRefListLabel, TProdListLabel>
std::vector<long int> samplesPerClass;
- for (unsigned int i = 0; i < m_NumberOfClasses; i++)
+ for (unsigned int i = 0; i < m_NumberOfClasses; ++i)
samplesPerClass.push_back(0);
m_ConfusionMatrix = ConfusionMatrixType(m_NumberOfClasses, m_NumberOfClasses);
diff --git a/Code/Learning/otbExhaustiveExponentialOptimizer.cxx b/Code/Learning/otbExhaustiveExponentialOptimizer.cxx
index 56268718aa21b6349e5d44be7dde1a8706442d09..9dcbc5b3aa3a7d7b43bcb4e2ced1afc2802ef78c 100644
--- a/Code/Learning/otbExhaustiveExponentialOptimizer.cxx
+++ b/Code/Learning/otbExhaustiveExponentialOptimizer.cxx
@@ -69,7 +69,7 @@ ExhaustiveExponentialOptimizer
const unsigned int spaceDimension = this->GetInitialPosition().GetSize();
- for (unsigned int i = 0; i < spaceDimension; i++)
+ for (unsigned int i = 0; i < spaceDimension; ++i)
{
m_MaximumNumberOfIterations *= (2 * m_NumberOfSteps[i] + 1);
}
@@ -91,7 +91,7 @@ ExhaustiveExponentialOptimizer
// Setup first grid position.
ParametersType position(spaceDimension);
- for (unsigned int i = 0; i < spaceDimension; i++)
+ for (unsigned int i = 0; i < spaceDimension; ++i)
{
position[i] = this->GetInitialPosition()[i] *
vcl_pow(m_GeometricProgression, -static_cast<double>(m_NumberOfSteps[i]) * m_StepLength) * scales[i];
@@ -188,7 +188,7 @@ ExhaustiveExponentialOptimizer
if (m_CurrentIndex[idx] > (2 * m_NumberOfSteps[idx]))
{
m_CurrentIndex[idx] = 0;
- idx++;
+ ++idx;
}
else
{
@@ -201,7 +201,7 @@ ExhaustiveExponentialOptimizer
m_Stop = true;
}
- for (unsigned int i = 0; i < spaceDimension; i++)
+ for (unsigned int i = 0; i < spaceDimension; ++i)
{
newPosition[i] = this->GetInitialPosition()[i]
* this->GetScales()[i]
diff --git a/Code/Learning/otbGaussianAdditiveNoiseSampleListFilter.txx b/Code/Learning/otbGaussianAdditiveNoiseSampleListFilter.txx
index 9cffcc89ef4da90756a140e7fbf03d356fa7bfb0..36e60e3f3bb07363676dc58370df4bebab1387bc 100644
--- a/Code/Learning/otbGaussianAdditiveNoiseSampleListFilter.txx
+++ b/Code/Learning/otbGaussianAdditiveNoiseSampleListFilter.txx
@@ -52,7 +52,7 @@ GaussianAdditiveNoiseSampleListFilter<TInputSampleList, TOutputSampleList>
itkExceptionMacro(<< "MeasurementVector size is "<<size << " , expected non null size " );
}
else
- for(unsigned int i = 0; i <size; i++)
+ for(unsigned int i = 0; i <size; ++i)
{
double ran = generator->GetNormalVariate(m_Mean, m_Variance);
m_WhiteGaussianNoiseCoefficients.push_back(ran);
diff --git a/Code/Learning/otbSOMWithMissingValue.txx b/Code/Learning/otbSOMWithMissingValue.txx
index 6b154a26ae54feed6ca65d94c97fcdb28364a09a..806295094c0e796ee9bce2f37ea8d1c0fa342c66 100644
--- a/Code/Learning/otbSOMWithMissingValue.txx
+++ b/Code/Learning/otbSOMWithMissingValue.txx
@@ -82,19 +82,19 @@ SOMWithMissingValue<TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighbor
// Iterate over the neighborhood ot the winner neuron
it.SetLocation(position);
- for (unsigned int i = 0; i < it.Size(); i++)
+ for (unsigned int i = 0; i < it.Size(); ++i)
{
typename NeighborhoodIteratorType::OffsetType offset = it.GetOffset(i);
// The neighborhood is of elliptic shape
double theDistance = itk::NumericTraits<double>::Zero;
- for (int j = 0; j < MapType::ImageDimension; j++)
+ for (int j = 0; j < MapType::ImageDimension; ++j)
theDistance += pow(static_cast<double>(offset[j]), 2.0)
/ pow(static_cast<double>(radius[j]), 2.0);
if (theDistance <= 1.0)
{
- for (int j = 0; j < MapType::ImageDimension; j++)
+ for (int j = 0; j < MapType::ImageDimension; ++j)
{
int pos = offset[j] + position[j];
positionToUpdate[j] = (pos >= 0) ?
@@ -106,7 +106,7 @@ SOMWithMissingValue<TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighbor
NeuronType newNeuron(tempNeuron);
double tempBeta = beta / (1.0 + theDistance);
- for (unsigned int j = 0; j < newNeuron.Size(); j++)
+ for (unsigned int j = 0; j < newNeuron.Size(); ++j)
{
if (!DistanceType::IsMissingValue(sample[j]))
newNeuron[j] += static_cast<typename NeuronType::ValueType>(
diff --git a/Code/Learning/otbSVMModel.txx b/Code/Learning/otbSVMModel.txx
index 0a2bf4964d1b9f388eca636278aa0577123094a6..581d401192708dab4e580cee896a34b6bf827e48 100644
--- a/Code/Learning/otbSVMModel.txx
+++ b/Code/Learning/otbSVMModel.txx
@@ -274,7 +274,7 @@ SVMModel<TValue, TLabel>::CrossValidation(unsigned int nbFolders)
int i;
double total_correct = 0.;
- for (i = 0; i < length; i++)
+ for (i = 0; i < length; ++i)
{
if (target[i] == m_Problem.y[i])
{
@@ -496,7 +496,7 @@ SVMModel<TValue, TLabel>::EvaluateProbabilities(const MeasurementType& measure)
std::sort(orderedLabels.begin(), orderedLabels.end());
ProbabilitiesVectorType probabilities(nr_class);
- for (int i = 0; i < nr_class; i++)
+ for (int i = 0; i < nr_class; ++i)
{
// svm_predict_probability is such that "dec_values[i]" corresponds to label "labels[i]"
std::vector<int>::iterator it = std::find(orderedLabels.begin(), orderedLabels.end(), labels[i]);
diff --git a/Code/MultiScale/otbMorphologicalPyramidSegmenter.txx b/Code/MultiScale/otbMorphologicalPyramidSegmenter.txx
index 308157edf49adac4aefa47dc0f3bc08191cc1867..cc6c1bd11efaf9f4cc3acddffea981933a5176de 100644
--- a/Code/MultiScale/otbMorphologicalPyramidSegmenter.txx
+++ b/Code/MultiScale/otbMorphologicalPyramidSegmenter.txx
@@ -257,7 +257,7 @@ Segmenter<TInputImage, TOutputImage>
index[0] = static_cast<long int>(it.Value()[0]);
index[1] = static_cast<long int>(it.Value()[1]);
connectedThreshold->AddSeed(index);
- it++;
+ ++it;
}
// segmentation
diff --git a/Code/MultiScale/otbSubsampleImageFilter.txx b/Code/MultiScale/otbSubsampleImageFilter.txx
index 13304674d8832225fcfcb3c4bad04345e24fa1cd..cdcb7b7b17baaabe948073b44b50a3839d586017 100644
--- a/Code/MultiScale/otbSubsampleImageFilter.txx
+++ b/Code/MultiScale/otbSubsampleImageFilter.txx
@@ -39,7 +39,7 @@ SubsampleImageFilter<TInputImage, TOutputImage, TDirectionOfTransformation>
{
Superclass::PrintSelf(os, indent);
os << indent << "SubsampleFactor = [" << m_SubsampleFactor[0];
- for (unsigned int i = 1; i < InputImageDimension; i++)
+ for (unsigned int i = 1; i < InputImageDimension; ++i)
{
os << ", " << m_SubsampleFactor[i];
}
@@ -52,7 +52,7 @@ bool
SubsampleImageFilter<TInputImage, TOutputImage, TDirectionOfTransformation>
::IsSubsampleFactorOne() const
{
- for (unsigned int i = 0; i < InputImageDimension; i++)
+ for (unsigned int i = 0; i < InputImageDimension; ++i)
{
if (m_SubsampleFactor[i] != 1) return false;
}
@@ -93,7 +93,7 @@ SubsampleImageFilter<TInputImage, TOutputImage, TDirectionOfTransformation>
typename InputImageRegionType::IndexType destIndex;
typename InputImageRegionType::SizeType destSize;
- for (unsigned int i = 0; i < InputImageDimension; i++)
+ for (unsigned int i = 0; i < InputImageDimension; ++i)
{
// TODO: This seems not right in odd index cases
destIndex[i] = srcIndex[i] / m_SubsampleFactor[i];
@@ -122,7 +122,7 @@ SubsampleImageFilter<TInputImage, TOutputImage, TDirectionOfTransformation>
typename OutputImageRegionType::IndexType destIndex;
typename OutputImageRegionType::SizeType destSize;
- for (unsigned int i = 0; i < InputImageDimension; i++)
+ for (unsigned int i = 0; i < InputImageDimension; ++i)
{
destIndex[i] = srcIndex[i] * m_SubsampleFactor[i];
destSize[i] = srcSize[i] * m_SubsampleFactor[i];
@@ -187,7 +187,7 @@ SubsampleImageFilter<TInputImage, TOutputImage, TDirectionOfTransformation>
{
InputImageIndexType inputIndex = inputIter.GetIndex();
OutputImageIndexType outputIndex;
- for (unsigned int i = 0; i < OutputImageDimension; i++)
+ for (unsigned int i = 0; i < OutputImageDimension; ++i)
{
outputIndex[i] = inputIndex[i] * m_SubsampleFactor[i];
}
diff --git a/Code/MultiScale/otbWaveletFilterBank.txx b/Code/MultiScale/otbWaveletFilterBank.txx
index b5806fb97235e202efc4b1300f430ee8a5929635..1c151dedbf5a95c4d5465f86214eb3f33ad7505d 100644
--- a/Code/MultiScale/otbWaveletFilterBank.txx
+++ b/Code/MultiScale/otbWaveletFilterBank.txx
@@ -51,7 +51,7 @@ WaveletFilterBank<TInputImage, TOutputImage, TWaveletOperator, Wavelet::FORWARD>
unsigned int numOfOutputs = 1 << InputImageDimension;
this->SetNumberOfOutputs(numOfOutputs);
- for (unsigned int i = 0; i < numOfOutputs; i++)
+ for (unsigned int i = 0; i < numOfOutputs; ++i)
{
this->SetNthOutput(i, OutputImageType::New());
}
@@ -80,7 +80,7 @@ WaveletFilterBank<TInputImage, TOutputImage, TWaveletOperator, Wavelet::FORWARD>
OutputImageRegionType newRegion;
this->CallCopyInputRegionToOutputRegion(newRegion, this->GetInput()->GetLargestPossibleRegion());
- for (unsigned int i = 0; i < this->GetNumberOfOutputs(); i++)
+ for (unsigned int i = 0; i < this->GetNumberOfOutputs(); ++i)
{
this->GetOutput(i)->SetRegions(newRegion);
}
@@ -141,7 +141,7 @@ WaveletFilterBank<TInputImage, TOutputImage, TWaveletOperator, Wavelet::FORWARD>
if (m_SubsampleImageFactor > 1)
{
// Check the dimension
- for (unsigned int i = 0; i < InputImageDimension; i++)
+ for (unsigned int i = 0; i < InputImageDimension; ++i)
{
if ((m_SubsampleImageFactor
* (this->GetInput()->GetRequestedRegion().GetSize()[i] / m_SubsampleImageFactor))
@@ -159,7 +159,7 @@ WaveletFilterBank<TInputImage, TOutputImage, TWaveletOperator, Wavelet::FORWARD>
{
// Internal images will be used only if m_SubsampledInputImages != 1
m_InternalImages.resize(InputImageDimension - 1);
- for (unsigned int i = 0; i < m_InternalImages.size(); i++)
+ for (unsigned int i = 0; i < m_InternalImages.size(); ++i)
{
// the size is linked to the SubsampleImageFactor that is assume to be 2!!!
m_InternalImages[InputImageDimension - 2 - i].resize(1 << (i + 1));
@@ -188,7 +188,7 @@ WaveletFilterBank<TInputImage, TOutputImage, TWaveletOperator, Wavelet::FORWARD>
this->CallCopyInputRegionToOutputRegion(InputImageDimension - 1 - direction,
smallerRegion, largerRegion);
- for (unsigned int i = 0; i < m_InternalImages[direction].size(); i++)
+ for (unsigned int i = 0; i < m_InternalImages[direction].size(); ++i)
{
m_InternalImages[InputImageDimension - 2 - direction][i] = OutputImageType::New();
m_InternalImages[InputImageDimension - 2 - direction][i]->SetRegions(smallerRegion);
@@ -227,7 +227,7 @@ WaveletFilterBank<TInputImage, TOutputImage, TWaveletOperator, Wavelet::FORWARD>
InputIndexType destIndex;
InputSizeType destSize;
- for (unsigned int i = 0; i < InputImageDimension; i++)
+ for (unsigned int i = 0; i < InputImageDimension; ++i)
{
destIndex[i] = srcIndex[i] * GetSubsampleImageFactor();
destSize[i] = srcSize[i] * GetSubsampleImageFactor();
@@ -255,7 +255,7 @@ WaveletFilterBank<TInputImage, TOutputImage, TWaveletOperator, Wavelet::FORWARD>
if (radius[0] < highPassOperator.GetRadius()[0]) radius[0] = highPassOperator.GetRadius()[0];
- for (unsigned int i = 1; i < InputImageDimension; i++)
+ for (unsigned int i = 1; i < InputImageDimension; ++i)
radius[i] = 0;
InputImageRegionType paddedRegion = destRegion;
@@ -287,7 +287,7 @@ WaveletFilterBank<TInputImage, TOutputImage, TWaveletOperator, Wavelet::FORWARD>
InputIndexType destIndex;
InputSizeType destSize;
- for (unsigned int i = 0; i < InputImageDimension; i++)
+ for (unsigned int i = 0; i < InputImageDimension; ++i)
{
if (i == direction)
{
@@ -322,7 +322,7 @@ WaveletFilterBank<TInputImage, TOutputImage, TWaveletOperator, Wavelet::FORWARD>
typename OutputImageRegionType::IndexType destIndex;
typename OutputImageRegionType::SizeType destSize;
- for (unsigned int i = 0; i < InputImageDimension; i++)
+ for (unsigned int i = 0; i < InputImageDimension; ++i)
{
// TODO: This seems not right in odd index cases
destIndex[i] = srcIndex[i] / GetSubsampleImageFactor();
@@ -351,7 +351,7 @@ WaveletFilterBank<TInputImage, TOutputImage, TWaveletOperator, Wavelet::FORWARD>
typename OutputImageRegionType::IndexType destIndex;
typename OutputImageRegionType::SizeType destSize;
- for (unsigned int i = 0; i < InputImageDimension; i++)
+ for (unsigned int i = 0; i < InputImageDimension; ++i)
{
if (i == direction)
{
@@ -636,7 +636,7 @@ WaveletFilterBank<TInputImage, TOutputImage, TWaveletOperator, Wavelet::INVERSE>
{
Superclass::GenerateOutputInformation();
- for (unsigned int i = 1; i < this->GetNumberOfInputs(); i++)
+ for (unsigned int i = 1; i < this->GetNumberOfInputs(); ++i)
{
for (unsigned int dim = 0; dim < InputImageDimension; dim++)
{
@@ -690,7 +690,7 @@ throw (itk::InvalidRequestedRegionError)
if (radius < highPassOperator.GetRadius()[0]) radius = highPassOperator.GetRadius()[0];
// Get the requested regionand pad it
- for (unsigned int idx = 0; idx < this->GetNumberOfInputs(); idx++)
+ for (unsigned int idx = 0; idx < this->GetNumberOfInputs(); ++idx)
{
InputImagePointerType input = const_cast<InputImageType*>(this->GetInput(idx));
InputImageRegionType inputRegion = input->GetRequestedRegion();
@@ -721,7 +721,7 @@ WaveletFilterBank<TInputImage, TOutputImage, TWaveletOperator, Wavelet::INVERSE>
{
// Internal images will be used only if m_SubsampleImageFactor != 1
m_InternalImages.resize(InputImageDimension - 1);
- for (unsigned int i = 0; i < m_InternalImages.size(); i++)
+ for (unsigned int i = 0; i < m_InternalImages.size(); ++i)
{
// the size is linked to the SubsampleImageFactor that is assume to be 2!!!
m_InternalImages[i].resize(1 << (i + 1));
@@ -749,7 +749,7 @@ WaveletFilterBank<TInputImage, TOutputImage, TWaveletOperator, Wavelet::INVERSE>
this->CallCopyInputRegionToOutputRegion(direction,
largerRegion, smallerRegion);
- for (unsigned int i = 0; i < m_InternalImages[direction].size(); i++)
+ for (unsigned int i = 0; i < m_InternalImages[direction].size(); ++i)
{
m_InternalImages[direction][i] = OutputImageType::New();
m_InternalImages[direction][i]->SetRegions(largerRegion);
@@ -788,7 +788,7 @@ WaveletFilterBank<TInputImage, TOutputImage, TWaveletOperator, Wavelet::INVERSE>
InputIndexType destIndex;
InputSizeType destSize;
- for (unsigned int i = 0; i < InputImageDimension; i++)
+ for (unsigned int i = 0; i < InputImageDimension; ++i)
{
// TODO: This seems not right in odd index cases
destIndex[i] = srcIndex[i] / GetSubsampleImageFactor();
@@ -815,10 +815,10 @@ WaveletFilterBank<TInputImage, TOutputImage, TWaveletOperator, Wavelet::INVERSE>
if (radius[0] < highPassOperator.GetRadius()[0]) radius[0] = highPassOperator.GetRadius()[0];
- for (unsigned int i = 1; i < InputImageDimension; i++)
+ for (unsigned int i = 1; i < InputImageDimension; ++i)
radius[i] = 0;
-// for ( unsigned int i = 0; i < InputImageDimension; i++ )
+// for ( unsigned int i = 0; i < InputImageDimension; ++i )
// {
// radius[i] = lowPassOperator.GetRadius()[i];
// if ( radius[i] < highPassOperator.GetRadius()[i] )
@@ -852,7 +852,7 @@ WaveletFilterBank<TInputImage, TOutputImage, TWaveletOperator, Wavelet::INVERSE>
InputIndexType destIndex;
InputSizeType destSize;
- for (unsigned int i = 0; i < InputImageDimension; i++)
+ for (unsigned int i = 0; i < InputImageDimension; ++i)
{
destIndex[i] = srcIndex[i] * GetSubsampleImageFactor();
destSize[i] = srcSize[i] * GetSubsampleImageFactor();
@@ -880,7 +880,7 @@ WaveletFilterBank<TInputImage, TOutputImage, TWaveletOperator, Wavelet::INVERSE>
InputIndexType destIndex;
InputSizeType destSize;
- for (unsigned int i = 0; i < InputImageDimension; i++)
+ for (unsigned int i = 0; i < InputImageDimension; ++i)
{
if (i == direction)
{
@@ -917,7 +917,7 @@ WaveletFilterBank<TInputImage, TOutputImage, TWaveletOperator, Wavelet::INVERSE>
typename OutputImageRegionType::IndexType destIndex;
typename OutputImageRegionType::SizeType destSize;
- for (unsigned int i = 0; i < InputImageDimension; i++)
+ for (unsigned int i = 0; i < InputImageDimension; ++i)
{
if (i == direction)
{
@@ -969,7 +969,7 @@ WaveletFilterBank<TInputImage, TOutputImage, TWaveletOperator, Wavelet::INVERSE>
// Faces iterations
typename NeighborhoodIteratorType::RadiusType radiusMax;
- for (unsigned int idx = 0; idx < OutputImageDimension; idx++)
+ for (unsigned int idx = 0; idx < OutputImageDimension; ++idx)
{
radiusMax[idx] = lowPassOperator.GetRadius(idx);
if (radiusMax[idx] < highPassOperator.GetRadius(idx)) radiusMax[idx] = highPassOperator.GetRadius(idx);
@@ -1148,7 +1148,7 @@ WaveletFilterBank<TInputImage, TOutputImage, TWaveletOperator, Wavelet::INVERSE>
// Faces iterations
typename NeighborhoodIteratorType::RadiusType radiusMax;
- for (unsigned int i = 0; i < InputImageDimension; i++)
+ for (unsigned int i = 0; i < InputImageDimension; ++i)
{
radiusMax[i] = lowPassOperator.GetRadius(i);
if (radiusMax[i] < highPassOperator.GetRadius(i)) radiusMax[i] = highPassOperator.GetRadius(i);
diff --git a/Code/MultiScale/otbWaveletOperatorBase.h b/Code/MultiScale/otbWaveletOperatorBase.h
index c8e5b94311340b60bb163f35c9f5c9294d6cfc2c..e197a486a3bd1b7778c30527e0aee6a7b5041474 100644
--- a/Code/MultiScale/otbWaveletOperatorBase.h
+++ b/Code/MultiScale/otbWaveletOperatorBase.h
@@ -204,7 +204,7 @@ protected:
highPassCoeff[medianPosition] = -coeff[medianPosition];
double sign = 1.;
- for (int i = 1; i <= medianPosition; i++)
+ for (int i = 1; i <= medianPosition; ++i)
{
highPassCoeff[medianPosition + i] = sign * coeff[medianPosition - i];
highPassCoeff[medianPosition - i] = sign * coeff[medianPosition + i];
diff --git a/Code/MultiScale/otbWaveletOperatorBase.txx b/Code/MultiScale/otbWaveletOperatorBase.txx
index c493047d25d0b80daa05e66563e93d762a584e94..2270f2300c3d2eccd98573aa9abae05813798718 100644
--- a/Code/MultiScale/otbWaveletOperatorBase.txx
+++ b/Code/MultiScale/otbWaveletOperatorBase.txx
@@ -80,7 +80,7 @@ WaveletOperatorBase<TMotherWaveletOperator, TPixel, VDimension, TAllocator>
CoefficientVector newCoeff(length);
newCoeff[medianPosition] = coeff[medianPosition];
- for (unsigned int i = 1; i <= medianPosition; i++)
+ for (unsigned int i = 1; i <= medianPosition; ++i)
{
newCoeff[medianPosition + i] = coeff[medianPosition - i];
newCoeff[medianPosition - i] = coeff[medianPosition + i];
@@ -100,7 +100,7 @@ WaveletOperatorBase<TMotherWaveletOperator, TPixel, VDimension, TAllocator>
CoefficientVector highPassCoeff(length + 2);
double sign = -1;
- for (unsigned int i = 0; i < length; i++)
+ for (unsigned int i = 0; i < length; ++i)
{
highPassCoeff[i] = sign * coeff[i];
sign *= -1.;
@@ -129,7 +129,7 @@ WaveletOperatorBase<TMotherWaveletOperator, TPixel, VDimension, TAllocator>
CoefficientVector highPassCoeff(length + 2);
double sign = 1;
- for (unsigned int i = 0; i < length; i++)
+ for (unsigned int i = 0; i < length; ++i)
{
highPassCoeff[i] = sign * coeff[i];
sign *= -1.;
@@ -157,7 +157,7 @@ WaveletOperatorBase<TMotherWaveletOperator, TPixel, VDimension, TAllocator>
const unsigned int length = coeff.size();
assert(length >= 2);
CoefficientVector newFilter(length - 2);
- for (unsigned int i = 0; i < newFilter.size(); i++)
+ for (unsigned int i = 0; i < newFilter.size(); ++i)
{
newFilter[i] = coeff[i + 1];
}
diff --git a/Code/MultiScale/otbWaveletPacketTransform.txx b/Code/MultiScale/otbWaveletPacketTransform.txx
index 13ecf3d7ce4112e9ca7fc183f9b18012cc177e5a..73c5cfbdd83abaffb3162541f45a074554c3ec5a 100644
--- a/Code/MultiScale/otbWaveletPacketTransform.txx
+++ b/Code/MultiScale/otbWaveletPacketTransform.txx
@@ -95,7 +95,7 @@ WaveletPacketTransform<TInputImage, TOutputImage, TFilter, Wavelet::FORWARD, TCo
filter->Update();
- for (unsigned int idx = 0; idx < filter->GetNumberOfOutputs(); idx++)
+ for (unsigned int idx = 0; idx < filter->GetNumberOfOutputs(); ++idx)
{
GenerateData(depth + 1, filter->GetOutput(idx), progress);
}
@@ -142,7 +142,7 @@ WaveletPacketTransform<TInputImage, TOutputImage, TFilter, Wavelet::INVERSE,
OutputImageSizeType outputSize;
OutputImageIndexType outputIndex;
- for (unsigned int i = 0; i < InputImageDimension; i++)
+ for (unsigned int i = 0; i < InputImageDimension; ++i)
{
outputIndex[i] = inputIndex[i] * GetSubsampleImageFactor() * GetDepthOfDecomposition();
outputSize[i] = inputSize[i] * GetSubsampleImageFactor() * GetDepthOfDecomposition();
@@ -220,7 +220,7 @@ WaveletPacketTransform<TInputImage, TOutputImage, TFilter, Wavelet::INVERSE,
if (ruleID == m_WaveletPacketRule.size()) return m_FilterList->Size();
- for (unsigned int i = 0; i < m_FilterList->GetNthElement(filterID)->GetNumberOfInputs(); i++)
+ for (unsigned int i = 0; i < m_FilterList->GetNthElement(filterID)->GetNumberOfInputs(); ++i)
{
if (m_WaveletPacketRule[ruleID++] == true)
{
@@ -275,7 +275,7 @@ WaveletPacketTransform<TInputImage, TOutputImage, TFilter, Wavelet::INVERSE,
m_NumberOfFilters++;
- for (unsigned int i = 0; i < filter->GetNumberOfInputs(); i++)
+ for (unsigned int i = 0; i < filter->GetNumberOfInputs(); ++i)
{
ruleID++;
InterpretRule(ruleID, curDepth + 1);
diff --git a/Code/MultiScale/otbWaveletTransform.txx b/Code/MultiScale/otbWaveletTransform.txx
index a6de4b39a221ffb069bc2e5c25375b89651d9175..41cec67f345833243d0968204c1e50bcdf73a1dd 100644
--- a/Code/MultiScale/otbWaveletTransform.txx
+++ b/Code/MultiScale/otbWaveletTransform.txx
@@ -65,7 +65,7 @@ WaveletTransform<TInputImage, TOutputImage, TFilter, Wavelet::FORWARD>
1 + GetNumberOfDecompositions() * (filter->GetNumberOfOutputs() - 1));
std::cerr << "Using " << this->GetOutput()->Size() << " outputs...\n";
- for (unsigned int idx = 0; idx < this->GetOutput()->Size(); idx++)
+ for (unsigned int idx = 0; idx < this->GetOutput()->Size(); ++idx)
{
this->GetOutput()->SetNthElement(idx, OutputImageType::New());
}
@@ -74,7 +74,7 @@ WaveletTransform<TInputImage, TOutputImage, TFilter, Wavelet::FORWARD>
1.f / static_cast<float>(GetNumberOfDecompositions()));
filter->Update();
- for (unsigned int idx = 1; idx < filter->GetNumberOfOutputs(); idx++)
+ for (unsigned int idx = 1; idx < filter->GetNumberOfOutputs(); ++idx)
{
this->GetOutput()->SetNthElement(
this->GetOutput()->Size() - filter->GetNumberOfOutputs() + idx,
@@ -93,7 +93,7 @@ WaveletTransform<TInputImage, TOutputImage, TFilter, Wavelet::FORWARD>
1.f / static_cast<float>(GetNumberOfDecompositions()));
filter->Update();
- for (unsigned int idx = 1; idx < filter->GetNumberOfOutputs(); idx++)
+ for (unsigned int idx = 1; idx < filter->GetNumberOfOutputs(); ++idx)
{
this->GetOutput()->SetNthElement(
this->GetOutput()->Size() - 1 - (nbDecomp + 1) * (filter->GetNumberOfOutputs() - 1) + idx,
@@ -137,7 +137,7 @@ WaveletTransform<TInputImage, TOutputImage, TFilter, Wavelet::INVERSE>
OutputImageSizeType outputSize;
OutputImageIndexType outputIndex;
- for (unsigned int i = 0; i < InputImageDimension; i++)
+ for (unsigned int i = 0; i < InputImageDimension; ++i)
{
outputIndex[i] = inputIndex[i] * GetSubsampleImageFactor() * GetNumberOfDecompositions();
outputSize[i] = inputSize[i] * GetSubsampleImageFactor() * GetNumberOfDecompositions();
@@ -171,7 +171,7 @@ WaveletTransform<TInputImage, TOutputImage, TFilter, Wavelet::INVERSE>
this->GetFilterList()->SetNthElement(0, FilterType::New());
filter = this->GetNthFilter(0);
- for (unsigned int i = 0; i < filter->GetNumberOfInputs(); i++)
+ for (unsigned int i = 0; i < filter->GetNumberOfInputs(); ++i)
{
filter->SetInput(i, inputIterator.Get());
++inputIterator;
@@ -187,13 +187,13 @@ WaveletTransform<TInputImage, TOutputImage, TFilter, Wavelet::INVERSE>
1.f / static_cast<float>(GetNumberOfDecompositions()));
filter->Update();
- for (unsigned int idx = 1; idx < GetNumberOfDecompositions(); idx++)
+ for (unsigned int idx = 1; idx < GetNumberOfDecompositions(); ++idx)
{
this->GetFilterList()->SetNthElement(idx, FilterType::New());
filter = this->GetNthFilter(idx);
filter->SetInput(0, this->GetNthFilter(idx - 1)->GetOutput());
- for (unsigned int i = 1; i < filter->GetNumberOfInputs(); i++)
+ for (unsigned int i = 1; i < filter->GetNumberOfInputs(); ++i)
{
filter->SetInput(i, inputIterator.Get());
++inputIterator;
diff --git a/Code/OBIA/otbBandsStatisticsAttributesLabelMapFilter.txx b/Code/OBIA/otbBandsStatisticsAttributesLabelMapFilter.txx
index 0ff176abb5e0f269e296eddf01185945bfdb8b66..4ae3e99d6351b179354d003359e60bfa411166de 100644
--- a/Code/OBIA/otbBandsStatisticsAttributesLabelMapFilter.txx
+++ b/Code/OBIA/otbBandsStatisticsAttributesLabelMapFilter.txx
@@ -235,7 +235,7 @@ BandsStatisticsAttributesLabelMapFilter<TImage, TFeatureImage>
}
// If there are more than one outputs, allocate the remaining outputs
- for (unsigned int i=1; i < this->GetNumberOfOutputs(); i++)
+ for (unsigned int i=1; i < this->GetNumberOfOutputs(); ++i)
{
ImagePointer outputPtr;
diff --git a/Code/OBIA/otbLabelImageToLabelMapWithAdjacencyFilter.txx b/Code/OBIA/otbLabelImageToLabelMapWithAdjacencyFilter.txx
index a44b0aaedd149e65a634197e4d866f8992134a96..740e80c9250bd78d10a43bd447a4deceb1a1cdb9 100644
--- a/Code/OBIA/otbLabelImageToLabelMapWithAdjacencyFilter.txx
+++ b/Code/OBIA/otbLabelImageToLabelMapWithAdjacencyFilter.txx
@@ -84,7 +84,7 @@ LabelImageToLabelMapWithAdjacencyFilter<TInputImage, TOutputImage>
// Clear previous adjacency map
m_TemporaryAdjacencyMaps.resize( this->GetNumberOfThreads() );
- for( int i=0; i<this->GetNumberOfThreads(); i++ )
+ for( int i=0; i<this->GetNumberOfThreads(); ++i )
{
if( i == 0 )
{
@@ -320,14 +320,14 @@ LabelImageToLabelMapWithAdjacencyFilter<TInputImage, TOutputImage>
// merge the lines from the temporary images in the output image
// don't use the first image - that's the output image
- for( int i=1; i<this->GetNumberOfThreads(); i++ )
+ for( int i=1; i<this->GetNumberOfThreads(); ++i )
{
typedef typename OutputImageType::LabelObjectContainerType LabelObjectContainerType;
const LabelObjectContainerType & labelObjectContainer = m_TemporaryImages[i]->GetLabelObjectContainer();
for( typename LabelObjectContainerType::const_iterator it = labelObjectContainer.begin();
it != labelObjectContainer.end();
- it++ )
+ ++it )
{
LabelObjectType * labelObject = it->second;
if( output->HasLabel( labelObject->GetLabel() ) )
diff --git a/Code/OBIA/otbLabelMapToGISTableFilter.txx b/Code/OBIA/otbLabelMapToGISTableFilter.txx
index 8a694c676848832714242b5389ebd2c87ba73a8e..92dac6ff29c3271a821aef95b84bc88c9713511d 100644
--- a/Code/OBIA/otbLabelMapToGISTableFilter.txx
+++ b/Code/OBIA/otbLabelMapToGISTableFilter.txx
@@ -138,7 +138,7 @@ LabelMapToGISTableFilter<TLabelMap, TGISTable>
typename InputLabelMapType::LabelObjectContainerType::const_iterator it;
// And get the object container to reuse it later
const typename InputLabelMapType::LabelObjectContainerType& labelObjectContainer = input->GetLabelObjectContainer();
- for (it = labelObjectContainer.begin(); it != labelObjectContainer.end(); it++)
+ for (it = labelObjectContainer.begin(); it != labelObjectContainer.end(); ++it)
{
// the label is there if we need it, but it can also be found at labelObject->GetLabel().
// const PType & label = it->first;
diff --git a/Code/OBIA/otbLabelMapToVectorDataFilter.txx b/Code/OBIA/otbLabelMapToVectorDataFilter.txx
index f14fb4fbff68f7fe83764e77249282870f156e3e..5a781f18bff2e4853cf7baee28f5a41b4e9a2cbe 100644
--- a/Code/OBIA/otbLabelMapToVectorDataFilter.txx
+++ b/Code/OBIA/otbLabelMapToVectorDataFilter.txx
@@ -97,7 +97,7 @@ LabelMapToVectorDataFilter<TLabelMap, TVectorData, TFieldsFunctor>
typename InputLabelMapType::LabelObjectContainerType::const_iterator it;
// And get the object container to reuse it later
const typename InputLabelMapType::LabelObjectContainerType& labelObjectContainer = input->GetLabelObjectContainer();
- for (it = labelObjectContainer.begin(); it != labelObjectContainer.end(); it++)
+ for (it = labelObjectContainer.begin(); it != labelObjectContainer.end(); ++it)
{
/**the label object*/
LabelObjectType * labelObject = it->second;
diff --git a/Code/OBIA/otbLabelMapWithClassLabelToClassLabelImageFilter.txx b/Code/OBIA/otbLabelMapWithClassLabelToClassLabelImageFilter.txx
index c6c99c8bce9796c49193d338488997be9baafa08..a317f634b1ee9e34085161e270164118d2db4c35 100644
--- a/Code/OBIA/otbLabelMapWithClassLabelToClassLabelImageFilter.txx
+++ b/Code/OBIA/otbLabelMapWithClassLabelToClassLabelImageFilter.txx
@@ -62,7 +62,7 @@ LabelMapWithClassLabelToClassLabelImageFilter<TInputImage, TOutputImage>
{
IndexType idx = lit->GetIndex();
unsigned long length = lit->GetLength();
- for( unsigned int i=0; i<length; i++)
+ for( unsigned int i=0; i<length; ++i)
{
this->GetOutput()->SetPixel( idx, label );
idx[0]++;
diff --git a/Code/OBIA/otbShapeAttributesLabelMapFilter.txx b/Code/OBIA/otbShapeAttributesLabelMapFilter.txx
index b54885e50557e8d2b8854d15c4e3181c6be5be56..f0be3f4e7c7761c6af7bcc56a7787b1c6e847112 100644
--- a/Code/OBIA/otbShapeAttributesLabelMapFilter.txx
+++ b/Code/OBIA/otbShapeAttributesLabelMapFilter.txx
@@ -207,13 +207,13 @@ ShapeAttributesLabelObjectFunctor<TLabelObject, TLabelImage>
// compute the size per pixel, to be used later
double sizePerPixel = 1;
- for (int i = 0; i < LabelObjectType::ImageDimension; i++)
+ for (int i = 0; i < LabelObjectType::ImageDimension; ++i)
{
sizePerPixel *= vcl_abs(m_LabelImage->GetSpacing()[i]);
}
typename std::vector<double> sizePerPixelPerDimension;
- for (int i = 0; i < LabelObjectType::ImageDimension; i++)
+ for (int i = 0; i < LabelObjectType::ImageDimension; ++i)
{
sizePerPixelPerDimension.push_back(sizePerPixel / vcl_abs(m_LabelImage->GetSpacing()[i]));
}
@@ -221,7 +221,7 @@ ShapeAttributesLabelObjectFunctor<TLabelObject, TLabelImage>
// compute the max the index on the border of the image
typename LabelObjectType::IndexType borderMin = m_LabelImage->GetLargestPossibleRegion().GetIndex();
typename LabelObjectType::IndexType borderMax = borderMin;
- for (int i = 0; i < LabelObjectType::ImageDimension; i++)
+ for (int i = 0; i < LabelObjectType::ImageDimension; ++i)
{
borderMax[i] += borderMin[i] + m_LabelImage->GetLargestPossibleRegion().GetSize()[i] - 1;
}
@@ -253,7 +253,7 @@ ShapeAttributesLabelObjectFunctor<TLabelObject, TLabelImage>
// update the centroid - and report the progress
// first, update the axes which are not 0
- for (int i = 1; i < LabelObjectType::ImageDimension; i++)
+ for (int i = 1; i < LabelObjectType::ImageDimension; ++i)
{
centroid[i] += length * idx[i];
}
@@ -261,7 +261,7 @@ ShapeAttributesLabelObjectFunctor<TLabelObject, TLabelImage>
centroid[0] += idx[0] * length + (length * (length - 1)) / 2.0;
// update the mins and maxs
- for (int i = 0; i < LabelObjectType::ImageDimension; i++)
+ for (int i = 0; i < LabelObjectType::ImageDimension; ++i)
{
if (idx[i] < mins[i])
{
@@ -280,7 +280,7 @@ ShapeAttributesLabelObjectFunctor<TLabelObject, TLabelImage>
// object is on a border ?
bool isOnBorder = false;
- for (int i = 1; i < LabelObjectType::ImageDimension; i++)
+ for (int i = 1; i < LabelObjectType::ImageDimension; ++i)
{
if (idx[i] == borderMin[i] || idx[i] == borderMax[i])
{
@@ -328,7 +328,7 @@ ShapeAttributesLabelObjectFunctor<TLabelObject, TLabelImage>
physicalSizeOnBorder += sizePerPixelPerDimension[0];
}
// then the other dimensions
- for (int i = 1; i < LabelObjectType::ImageDimension; i++)
+ for (int i = 1; i < LabelObjectType::ImageDimension; ++i)
{
if (idx[i] == borderMin[i])
{
@@ -355,9 +355,9 @@ ShapeAttributesLabelObjectFunctor<TLabelObject, TLabelImage>
typename TLabelImage::PointType pP;
m_LabelImage->TransformIndexToPhysicalPoint(iidx, pP);
- for(unsigned int i=0; i<LabelObjectType::ImageDimension; i++)
+ for(unsigned int i=0; i<LabelObjectType::ImageDimension; ++i)
{
- for(unsigned int j=0; j<LabelObjectType::ImageDimension; j++)
+ for(unsigned int j=0; j<LabelObjectType::ImageDimension; ++j)
{
centralMoments[i][j] += pP[i] * pP[j];
}
@@ -377,13 +377,13 @@ ShapeAttributesLabelObjectFunctor<TLabelObject, TLabelImage>
+ spacing[0] *
(length - 1) * ((spacing[0] * (2 * length - 1)) / 6.0 + physicalPosition[0]));
// the other ones
- for (int i = 1; i < LabelObjectType::ImageDimension; i++)
+ for (int i = 1; i < LabelObjectType::ImageDimension; ++i)
{
// do this one here to avoid the double assigment in the following loop
// when i == j
centralMoments[i][i] += length * physicalPosition[i] * physicalPosition[i];
// central moments are symetrics, so avoid to compute them 2 times
- for (int j = i + 1; j < LabelObjectType::ImageDimension; j++)
+ for (int j = i + 1; j < LabelObjectType::ImageDimension; ++j)
{
// note that we won't use that code if the image dimension is less than 3
// --> the tests should be in 3D at least
@@ -403,14 +403,14 @@ ShapeAttributesLabelObjectFunctor<TLabelObject, TLabelImage>
typename TLabelImage::SizeType regionSize;
double minSize = itk::NumericTraits<double>::max();
double maxSize = itk::NumericTraits<double>::NonpositiveMin();
- for (int i = 0; i < LabelObjectType::ImageDimension; i++)
+ for (int i = 0; i < LabelObjectType::ImageDimension; ++i)
{
centroid[i] /= size;
regionSize[i] = maxs[i] - mins[i] + 1;
double s = regionSize[i] * vcl_abs(m_LabelImage->GetSpacing()[i]);
minSize = std::min(s, minSize);
maxSize = std::max(s, maxSize);
- for (unsigned int j = 0; j < LabelObjectType::ImageDimension; j++)
+ for (unsigned int j = 0; j < LabelObjectType::ImageDimension; ++j)
{
centralMoments[i][j] /= size;
}
@@ -420,9 +420,9 @@ ShapeAttributesLabelObjectFunctor<TLabelObject, TLabelImage>
m_LabelImage->TransformContinuousIndexToPhysicalPoint(centroid, physicalCentroid);
// Center the second order moments
- for (unsigned int i = 0; i < LabelObjectType::ImageDimension; i++)
+ for (unsigned int i = 0; i < LabelObjectType::ImageDimension; ++i)
{
- for (unsigned int j = 0; j < LabelObjectType::ImageDimension; j++)
+ for (unsigned int j = 0; j < LabelObjectType::ImageDimension; ++j)
{
centralMoments[i][j] -= physicalCentroid[i] * physicalCentroid[j];
}
@@ -432,7 +432,7 @@ ShapeAttributesLabelObjectFunctor<TLabelObject, TLabelImage>
itk::Vector<double, LabelObjectType::ImageDimension> principalMoments;
vnl_symmetric_eigensystem<double> eigen(centralMoments.GetVnlMatrix());
vnl_diag_matrix<double> pm = eigen.D;
- for (unsigned int i = 0; i < LabelObjectType::ImageDimension; i++)
+ for (unsigned int i = 0; i < LabelObjectType::ImageDimension; ++i)
{
// principalMoments[i] = 4 * vcl_sqrt( pm(i, i) );
principalMoments[i] = pm(i, i);
@@ -446,12 +446,12 @@ ShapeAttributesLabelObjectFunctor<TLabelObject, TLabelImage>
vnl_diag_matrix<vcl_complex<double> > eigenval = eigenrot.D;
vcl_complex<double> det(1.0, 0.0);
- for (unsigned int i = 0; i < LabelObjectType::ImageDimension; i++)
+ for (unsigned int i = 0; i < LabelObjectType::ImageDimension; ++i)
{
det *= eigenval(i, i);
}
- for (unsigned int i = 0; i < LabelObjectType::ImageDimension; i++)
+ for (unsigned int i = 0; i < LabelObjectType::ImageDimension; ++i)
{
principalAxes[LabelObjectType::ImageDimension - 1][i] *= std::real(det);
}
@@ -471,12 +471,12 @@ ShapeAttributesLabelObjectFunctor<TLabelObject, TLabelImage>
// compute equilalent ellipsoid radius
itk::Vector<double, LabelObjectType::ImageDimension> ellipsoidSize;
double edet = 1.0;
- for (unsigned int i = 0; i < LabelObjectType::ImageDimension; i++)
+ for (unsigned int i = 0; i < LabelObjectType::ImageDimension; ++i)
{
edet *= principalMoments[i];
}
edet = vcl_pow(edet, 1.0 / LabelObjectType::ImageDimension);
- for (unsigned int i = 0; i < LabelObjectType::ImageDimension; i++)
+ for (unsigned int i = 0; i < LabelObjectType::ImageDimension; ++i)
{
ellipsoidSize[i] = 2.0 * equivalentRadius * vcl_sqrt(principalMoments[i] / edet);
}
@@ -593,7 +593,7 @@ ShapeAttributesLabelObjectFunctor<TLabelObject, TLabelImage>
it += idx - it.GetIndex();
// push the pixel in the list if it is on the border of the object
- for (unsigned i = 0; i < it.Size(); i++)
+ for (unsigned i = 0; i < it.Size(); ++i)
{
if (it.GetPixel(i) != label)
{
@@ -616,7 +616,7 @@ ShapeAttributesLabelObjectFunctor<TLabelObject, TLabelImage>
{
// Compute the length between the 2 indexes
double length = 0;
- for (int i = 0; i < LabelObjectType::ImageDimension; i++)
+ for (int i = 0; i < LabelObjectType::ImageDimension; ++i)
{
length += vcl_pow((iIt1->operator[] (i) - iIt2->operator[] (i)) * m_LabelImage->GetSpacing()[i], 2);
}
@@ -897,7 +897,7 @@ ShapeAttributesLabelMapFilter<TImage, TLabelImage>
}
// If there are more than one outputs, allocate the remaining outputs
- for (unsigned int i=1; i < this->GetNumberOfOutputs(); i++)
+ for (unsigned int i=1; i < this->GetNumberOfOutputs(); ++i)
{
ImagePointer outputPtr;
diff --git a/Code/OBIA/otbStatisticsAttributesLabelMapFilter.txx b/Code/OBIA/otbStatisticsAttributesLabelMapFilter.txx
index af9c077dcad717cf39d5b9a6fbbce6dde033eb7d..2518a7c9a58d3ec73b5afee192a61b59ca7d9525 100644
--- a/Code/OBIA/otbStatisticsAttributesLabelMapFilter.txx
+++ b/Code/OBIA/otbStatisticsAttributesLabelMapFilter.txx
@@ -139,11 +139,11 @@ StatisticsAttributesLabelObjectFunctor<TLabelObject, TFeatureImage>
// moments
typename TFeatureImage::PointType physicalPosition;
m_FeatureImage->TransformIndexToPhysicalPoint(idx, physicalPosition);
- for (unsigned int i = 0; i < TFeatureImage::ImageDimension; i++)
+ for (unsigned int i = 0; i < TFeatureImage::ImageDimension; ++i)
{
centerOfGravity[i] += physicalPosition[i] * v;
centralMoments[i][i] += v * physicalPosition[i] * physicalPosition[i];
- for (unsigned int j = i + 1; j < TFeatureImage::ImageDimension; j++)
+ for (unsigned int j = i + 1; j < TFeatureImage::ImageDimension; ++j)
{
const double weight = v * physicalPosition[i] * physicalPosition[j];
centralMoments[i][j] += weight;
@@ -192,19 +192,19 @@ StatisticsAttributesLabelObjectFunctor<TLabelObject, TFeatureImage>
if (sum != 0)
{
// Normalize using the total mass
- for (unsigned int i = 0; i < TFeatureImage::ImageDimension; i++)
+ for (unsigned int i = 0; i < TFeatureImage::ImageDimension; ++i)
{
centerOfGravity[i] /= sum;
- for (unsigned int j = 0; j < TFeatureImage::ImageDimension; j++)
+ for (unsigned int j = 0; j < TFeatureImage::ImageDimension; ++j)
{
centralMoments[i][j] /= sum;
}
}
// Center the second order moments
- for (unsigned int i = 0; i < TFeatureImage::ImageDimension; i++)
+ for (unsigned int i = 0; i < TFeatureImage::ImageDimension; ++i)
{
- for (unsigned int j = 0; j < TFeatureImage::ImageDimension; j++)
+ for (unsigned int j = 0; j < TFeatureImage::ImageDimension; ++j)
{
centralMoments[i][j] -= centerOfGravity[i] * centerOfGravity[j];
}
@@ -213,7 +213,7 @@ StatisticsAttributesLabelObjectFunctor<TLabelObject, TFeatureImage>
// Compute principal moments and axes
vnl_symmetric_eigensystem<double> eigen(centralMoments.GetVnlMatrix());
vnl_diag_matrix<double> pm = eigen.D;
- for (unsigned int i = 0; i < TFeatureImage::ImageDimension; i++)
+ for (unsigned int i = 0; i < TFeatureImage::ImageDimension; ++i)
{
// principalMoments[i] = 4 * vcl_sqrt( pm(i, i) );
principalMoments[i] = pm(i, i);
@@ -226,12 +226,12 @@ StatisticsAttributesLabelObjectFunctor<TLabelObject, TFeatureImage>
vnl_diag_matrix<vcl_complex<double> > eigenval = eigenrot.D;
vcl_complex<double> det(1.0, 0.0);
- for (unsigned int i = 0; i < TFeatureImage::ImageDimension; i++)
+ for (unsigned int i = 0; i < TFeatureImage::ImageDimension; ++i)
{
det *= eigenval(i, i);
}
- for (unsigned int i = 0; i < TFeatureImage::ImageDimension; i++)
+ for (unsigned int i = 0; i < TFeatureImage::ImageDimension; ++i)
{
principalAxes[TFeatureImage::ImageDimension - 1][i] *= std::real(det);
}
@@ -246,11 +246,11 @@ StatisticsAttributesLabelObjectFunctor<TLabelObject, TFeatureImage>
{
// can't compute anything in that case - just set everything to a default value
// Normalize using the total mass
- for (unsigned int i = 0; i < TFeatureImage::ImageDimension; i++)
+ for (unsigned int i = 0; i < TFeatureImage::ImageDimension; ++i)
{
centerOfGravity[i] = 0;
principalMoments[i] = 0;
- for (unsigned int j = 0; j < TFeatureImage::ImageDimension; j++)
+ for (unsigned int j = 0; j < TFeatureImage::ImageDimension; ++j)
{
principalAxes[i][j] = 0;
}
diff --git a/Code/ObjectDetection/otbDescriptorsListSampleGenerator.h b/Code/ObjectDetection/otbDescriptorsListSampleGenerator.h
index 0c3b2c1058a8959a774167f54c949a9a28f6cbd3..fb13e3cf8a587d0f8607008325f2850f020697a0 100644
--- a/Code/ObjectDetection/otbDescriptorsListSampleGenerator.h
+++ b/Code/ObjectDetection/otbDescriptorsListSampleGenerator.h
@@ -187,7 +187,7 @@ private:
typedef typename IndexType::IndexValueType IndexValueType;
typedef typename ContinuousIndexType::ValueType ContinuousIndexValueType;
- for(unsigned int i=0; i<ImageDimension; i++)
+ for(unsigned int i=0; i<ImageDimension; ++i)
{
#ifdef ITK_USE_CENTERED_PIXEL_COORDINATES_CONSISTENTLY
if( itk::Math::RoundHalfIntegerUp<IndexValueType>(index[i]) < static_cast<IndexValueType>( region.GetIndex(i) ) + static_cast<IndexValueType>(m_NeighborhoodRadius) )
diff --git a/Code/ObjectDetection/otbLabeledSampleLocalizationGenerator.txx b/Code/ObjectDetection/otbLabeledSampleLocalizationGenerator.txx
index 1ca19a0a76f72e42379dab3cb36b20ac9f924c50..fb57af1f9dce8cd62f40a95d6fe7e1763aac1214 100644
--- a/Code/ObjectDetection/otbLabeledSampleLocalizationGenerator.txx
+++ b/Code/ObjectDetection/otbLabeledSampleLocalizationGenerator.txx
@@ -202,7 +202,7 @@ LabeledSampleLocalizationGenerator<TVectorData>
std::string positiveClassIdentifier;
bool firstFeature = true;
// Copy all point feature in output VectorData
- for (unsigned int i=0; i<nbInputs; i++)
+ for (unsigned int i=0; i<nbInputs; ++i)
{
typename VectorDataType::ConstPointer vectorData = static_cast<const VectorDataType *>(this->GetInput(i));
@@ -240,7 +240,7 @@ LabeledSampleLocalizationGenerator<TVectorData>
// Iterates through the polygon features and generates random point inside the polygon with
// the "NoClass" identifier
- for (unsigned int i=0; i<nbInputs; i++)
+ for (unsigned int i=0; i<nbInputs; ++i)
{
typename VectorDataType::ConstPointer vectorData = static_cast<const VectorDataType *>(this->GetInput(i));
@@ -266,7 +266,7 @@ LabeledSampleLocalizationGenerator<TVectorData>
}
}
// Densify positive points
- for (unsigned int i=0; i<nbInputs; i++)
+ for (unsigned int i=0; i<nbInputs; ++i)
{
typename VectorDataType::ConstPointer vectorData = static_cast<const VectorDataType *>(this->GetInput(i));
diff --git a/Code/ObjectDetection/otbMultiChannelIFFactory.h b/Code/ObjectDetection/otbMultiChannelIFFactory.h
index b1558b2bb416a34b833eff7435025ca34de0890a..34bd7d613a0b2115f2207ce60dd0cd3e32342b4f 100644
--- a/Code/ObjectDetection/otbMultiChannelIFFactory.h
+++ b/Code/ObjectDetection/otbMultiChannelIFFactory.h
@@ -108,7 +108,7 @@ public:
filter->UpdateOutputInformation();
nbBand = filter->GetOutput()->Size();
- for (unsigned int i=0; i<nbBand; i++)
+ for (unsigned int i=0; i<nbBand; ++i)
{
filter->GetOutput()->GetNthElement(i)->UpdateOutputInformation();
m_Factory->Create(filter->GetOutput()->GetNthElement(i), param, metaIF, container);
diff --git a/Code/ObjectDetection/otbObjectDetectionClassifier.h b/Code/ObjectDetection/otbObjectDetectionClassifier.h
index 00bb73a069ad28bb8eda9e9d8033555ccc02143d..74a02922426e7de43ba025ee744621be9305193c 100644
--- a/Code/ObjectDetection/otbObjectDetectionClassifier.h
+++ b/Code/ObjectDetection/otbObjectDetectionClassifier.h
@@ -187,7 +187,7 @@ private:
typedef typename RegionType::IndexType IndexType;
typedef typename IndexType::IndexValueType IndexValueType;
- for(unsigned int i=0; i<ImageDimension; i++)
+ for(unsigned int i=0; i<ImageDimension; ++i)
{
#ifdef ITK_USE_CENTERED_PIXEL_COORDINATES_CONSISTENTLY
if( itk::Math::RoundHalfIntegerUp<IndexValueType>(index[i]) < static_cast<IndexValueType>( region.GetIndex(i) ) + m_NeighborhoodRadius + 1 )
diff --git a/Code/ObjectDetection/otbStatisticsXMLFileReader.txx b/Code/ObjectDetection/otbStatisticsXMLFileReader.txx
index 691f9bb9cf66558f0bd212ce0e543a6b42937672..8ace419923e2d7e6fe8dfd57d98eb4c82e7df1e7 100644
--- a/Code/ObjectDetection/otbStatisticsXMLFileReader.txx
+++ b/Code/ObjectDetection/otbStatisticsXMLFileReader.txx
@@ -48,7 +48,7 @@ StatisticsXMLFileReader<TMeasurementVector>
// Check if the name of the Statistic is present
bool found = false;
unsigned int index = 0;
- for(unsigned int idx = 0; idx < m_NumberOfOutputs; idx++)
+ for(unsigned int idx = 0; idx < m_NumberOfOutputs; ++idx)
{
if(strcmp(m_MeasurementVectorContainer[idx].first.c_str(), statisticName) == 0 )
{
@@ -118,7 +118,7 @@ StatisticsXMLFileReader<TMeasurementVector>
// resize the Measurement Vector
currentStatisticVector.second.SetSize(tempMeasurementVector.size());
- for(unsigned int i = 0; i < tempMeasurementVector.size(); i++)
+ for(unsigned int i = 0; i < tempMeasurementVector.size(); ++i)
currentStatisticVector.second.SetElement(i,
(static_cast<InputValueType>(tempMeasurementVector[i])));
diff --git a/Code/ObjectDetection/otbStatisticsXMLFileWriter.txx b/Code/ObjectDetection/otbStatisticsXMLFileWriter.txx
index 194e93276bfbbff7c4b9973f61833674d0d62148..31f91031f15f4340efaeb74b06fa89f9551ea832 100644
--- a/Code/ObjectDetection/otbStatisticsXMLFileWriter.txx
+++ b/Code/ObjectDetection/otbStatisticsXMLFileWriter.txx
@@ -41,7 +41,7 @@ StatisticsXMLFileWriter<TMeasurementVector>
inputData.first = name;
// Check if the statistic name is already added
- for(unsigned int idx= 0; idx< m_MeasurementVectorContainer.size(); idx++)
+ for(unsigned int idx= 0; idx< m_MeasurementVectorContainer.size(); ++idx)
{
if(strcmp(m_MeasurementVectorContainer[idx].first.c_str(), name) == 0 )
{
@@ -84,7 +84,7 @@ StatisticsXMLFileWriter<TMeasurementVector>
doc.LinkEndChild( root );
// Iterate through the input
- for (unsigned int i = 0; i < m_MeasurementVectorContainer.size(); i++)
+ for (unsigned int i = 0; i < m_MeasurementVectorContainer.size(); ++i)
{
std::string featureName = m_MeasurementVectorContainer[i].first;
MeasurementVectorType currentMeasurementVector = m_MeasurementVectorContainer[i].second;
diff --git a/Code/Projections/otbGCPsToRPCSensorModelImageFilter.txx b/Code/Projections/otbGCPsToRPCSensorModelImageFilter.txx
index 437f628c278a3db5407d2e5d43fabe4394df9685..5dbeb684abf3df9fb79873fcfac8e4d34e4c559c 100644
--- a/Code/Projections/otbGCPsToRPCSensorModelImageFilter.txx
+++ b/Code/Projections/otbGCPsToRPCSensorModelImageFilter.txx
@@ -176,7 +176,7 @@ GCPsToRPCSensorModelImageFilter<TImage>
typename TImage::Pointer imagePtr = this->GetOutput();
// Iterate on the image GCPs
- for (unsigned int i = 0; i < imagePtr->GetGCPCount(); i++)
+ for (unsigned int i = 0; i < imagePtr->GetGCPCount(); ++i)
{
// Store row/col in an index
typename TImage::IndexType index;
@@ -250,7 +250,7 @@ GCPsToRPCSensorModelImageFilter<TImage>
// Clear Error container
m_ErrorsContainer.clear();
- for (unsigned int i = 0; i < m_GCPsContainer.size(); i++)
+ for (unsigned int i = 0; i < m_GCPsContainer.size(); ++i)
{
// GCP value
sensorPoint = m_GCPsContainer[i].first;
diff --git a/Code/Projections/otbImageToGenericRSOutputParameters.txx b/Code/Projections/otbImageToGenericRSOutputParameters.txx
index 17d16b6efa6d0c6669e8be6e6e02312837683ff9..490db2d252ac2836c8f2c1212470c35c7fe6f35d 100644
--- a/Code/Projections/otbImageToGenericRSOutputParameters.txx
+++ b/Code/Projections/otbImageToGenericRSOutputParameters.txx
@@ -118,7 +118,7 @@ ImageToGenericRSOutputParameters<TImage>
vindex.push_back(index3);
vindex.push_back(index4);
- for (unsigned int i = 0; i < vindex.size(); i++)
+ for (unsigned int i = 0; i < vindex.size(); ++i)
{
PointType physicalPoint;
m_Input->TransformIndexToPhysicalPoint(vindex[i], physicalPoint);
@@ -131,7 +131,7 @@ ImageToGenericRSOutputParameters<TImage>
double minY = voutput[0][1];
double maxY = voutput[0][1];
- for (unsigned int i = 0; i < voutput.size(); i++)
+ for (unsigned int i = 0; i < voutput.size(); ++i)
{
// Origins
if (minX > voutput[i][0])
diff --git a/Code/Projections/otbVectorDataProjectionFilter.txx b/Code/Projections/otbVectorDataProjectionFilter.txx
index 943cd4faea304b97b6664454f56e1b6529d00cff..bfb4a02ea07b3fc7e65319db704a656864c898dd 100644
--- a/Code/Projections/otbVectorDataProjectionFilter.txx
+++ b/Code/Projections/otbVectorDataProjectionFilter.txx
@@ -210,7 +210,7 @@ VectorDataProjectionFilter<TInputVectorData, TOutputVectorData>
index[1] = point[1];
// otbMsgDevMacro(<< "Converting: " << it.Value() << " -> " << pointCoord << " -> " << point << " -> " << index);
newLine->AddVertex(index);
- it++;
+ ++it;
}
return newLine;
@@ -238,7 +238,7 @@ VectorDataProjectionFilter<TInputVectorData, TOutputVectorData>
index[0] = point[0];
index[1] = point[1];
newPolygon->AddVertex(index);
- it++;
+ ++it;
}
return newPolygon;
}
diff --git a/Code/Projections/otbVectorDataTransformFilter.txx b/Code/Projections/otbVectorDataTransformFilter.txx
index 6a299d20e5dd8b59d8b12b8ba50875c5c0d77f75..870a932d7bcf9ec1582351c7d313d18e35219ced 100644
--- a/Code/Projections/otbVectorDataTransformFilter.txx
+++ b/Code/Projections/otbVectorDataTransformFilter.txx
@@ -73,7 +73,7 @@ VectorDataTransformFilter<TInputVectorData, TOutputVectorData>
index[1]=point[1];
if (!vnl_math_isnan(index[0]) && !vnl_math_isnan(index[1]))
newLine->AddVertex(index);
- it++;
+ ++it;
}
return newLine;
@@ -102,7 +102,7 @@ VectorDataTransformFilter<TInputVectorData, TOutputVectorData>
index[1]=point[1];
if( !vnl_math_isnan(index[0]) && !vnl_math_isnan(index[1]) )
newPolygon->AddVertex(index);
- it++;
+ ++it;
}
return newPolygon;
}
diff --git a/Code/Radiometry/otbSurfaceAdjacencyEffect6SCorrectionSchemeFilter.txx b/Code/Radiometry/otbSurfaceAdjacencyEffect6SCorrectionSchemeFilter.txx
index fa69553ec3929f205446d10e6a211520b8541236..643a69299289b756c2fcc90c6632add9f58cc32f 100644
--- a/Code/Radiometry/otbSurfaceAdjacencyEffect6SCorrectionSchemeFilter.txx
+++ b/Code/Radiometry/otbSurfaceAdjacencyEffect6SCorrectionSchemeFilter.txx
@@ -151,7 +151,7 @@ SurfaceAdjacencyEffect6SCorrectionSchemeFilter<TInputImage, TOutputImage>
{
itkExceptionMacro(<< "Filter Function and image channels mismatch.");
}
- for (unsigned int i = 0; i < this->GetInput()->GetNumberOfComponentsPerPixel(); i++)
+ for (unsigned int i = 0; i < this->GetInput()->GetNumberOfComponentsPerPixel(); ++i)
{
FilterFunctionValuesType::Pointer functionValues = FilterFunctionValuesType::New();
functionValues->SetFilterFunctionValues(m_FilterFunctionCoef[i]);
diff --git a/Code/SARPolarimetry/otbReciprocalHAlphaImageFilter.h b/Code/SARPolarimetry/otbReciprocalHAlphaImageFilter.h
index 5467db0503cecfe7348a845be2f60a576cbb0a6f..82536d31cbe2faee8847df82ca91fb29a0f32c05 100644
--- a/Code/SARPolarimetry/otbReciprocalHAlphaImageFilter.h
+++ b/Code/SARPolarimetry/otbReciprocalHAlphaImageFilter.h
@@ -106,7 +106,7 @@ public:
// Extract the first component of each the eigen vector sorted by eigen value decrease order
VNLVectorType sortedGreaterEigenVector(3, eigenVectors[0][0]);
- for(unsigned int i=0; i<3; i++)
+ for(unsigned int i=0; i<3; ++i)
{
if( vcl_abs( eigenValues[1].real()-sortedRealEigenValues[i] ) < m_Epsilon )
{
@@ -124,7 +124,7 @@ public:
totalEigenValues = m_Epsilon;
}
- for (unsigned int k = 0; k < 3; k++)
+ for (unsigned int k = 0; k < 3; ++k)
{
p[k] = std::max(sortedRealEigenValues[k], 0.) / totalEigenValues;
}
@@ -143,7 +143,7 @@ public:
double val0, val1, val2;
double a0, a1, a2;
- for(unsigned int k = 0; k < 3; k++)
+ for(unsigned int k = 0; k < 3; ++k)
{
p[k] = sortedRealEigenValues[k] / totalEigenValues;
diff --git a/Code/Simulation/otbImageSimulationMethod.txx b/Code/Simulation/otbImageSimulationMethod.txx
index 1755fd79d0b553abdf006a16106a7bd57af7396e..596d603dacec2ae7aba41f7e6a3954837b10e3d4 100644
--- a/Code/Simulation/otbImageSimulationMethod.txx
+++ b/Code/Simulation/otbImageSimulationMethod.txx
@@ -158,7 +158,7 @@ ImageSimulationMethod< TInputVectorData, TSpatialisation, TSimulationStep1, TSim
m_LabelMapToLabelImageFilter->SetInput(m_Spatialisation->GetOutput());
- for (unsigned int i = 0; i < m_NumberOfComponentsPerPixel; i++)
+ for (unsigned int i = 0; i < m_NumberOfComponentsPerPixel; ++i)
{
MultiToMonoChannelFilterPointer multiToMonoChannelFilter = MultiToMonoChannelFilterType::New();
@@ -219,7 +219,7 @@ ImageSimulationMethod< TInputVectorData, TSpatialisation, TSimulationStep1, TSim
// // m_LabelMapToSimulatedImageFilter->Update();
// // this->GraftNthOutput(0, m_LabelMapToSimulatedImageFilter->GetOutput());
//
-// for(unsigned int i = 0; i<m_NumberOfComponentsPerPixel; i++)
+// for(unsigned int i = 0; i<m_NumberOfComponentsPerPixel; ++i)
// {
//
// MultiToMonoChannelFilterPointer multiToMonoChannelFilter = MultiToMonoChannelFilterType::New();
diff --git a/Code/Simulation/otbLabelMapToSimulatedImageFilter.txx b/Code/Simulation/otbLabelMapToSimulatedImageFilter.txx
index af3c2669f0e5eede702c6d12ed5d22c6f7975748..5dd7be6cbfea4e44e0ca2dd21f625c7df5a2d39c 100644
--- a/Code/Simulation/otbLabelMapToSimulatedImageFilter.txx
+++ b/Code/Simulation/otbLabelMapToSimulatedImageFilter.txx
@@ -75,7 +75,7 @@ LabelMapToSimulatedImageFilter<TInputLabelMap, TSimuStep1, TSimuStep2, TOutputIm
SpectralResponsePointer readSpectrum = SpectralResponseType::New();
bool hasPath = false;
//Check if the spectrum associated to this object is given by a database.
- for (unsigned int i = 0; i < labelObject->GetNumberOfAttributes(); i++)
+ for (unsigned int i = 0; i < labelObject->GetNumberOfAttributes(); ++i)
{
if (labelObject->GetAvailableAttributes()[i].compare("path") == 0) hasPath = true;
}
@@ -122,10 +122,10 @@ LabelMapToSimulatedImageFilter<TInputLabelMap, TSimuStep1, TSimuStep2, TOutputIm
{
IndexType idx = lit->GetIndex();
unsigned long length = lit->GetLength();
- for (unsigned int i = 0; i < length; i++)
+ for (unsigned int i = 0; i < length; ++i)
{
//add gaussian white noise
- for (unsigned int i = 0; i < m_NumberOfComponentsPerPixel; i++)
+ for (unsigned int i = 0; i < m_NumberOfComponentsPerPixel; ++i)
{
double ran = randomGen->GetNormalVariate(m_Mean, m_Variance);
pixel[i] = static_cast<InternalPixelType> (reduceSpectralResponse->GetReduceResponse()->GetResponse()[i].second
diff --git a/Code/Simulation/otbProspectModel.cxx b/Code/Simulation/otbProspectModel.cxx
index 8222a3ae2adbc6d9bbdc3f21faec525e2a44efa9..9cb0f8521238e9926795104be286cdcb76e5d63c 100644
--- a/Code/Simulation/otbProspectModel.cxx
+++ b/Code/Simulation/otbProspectModel.cxx
@@ -146,7 +146,7 @@ ProspectModel
Cm = leafParameters->GetCm();
int nbdata = sizeof(DataSpecP5B) / sizeof(DataSpec);
- for (int i = 0; i < nbdata; i++)
+ for (int i = 0; i < nbdata; ++i)
{
lambda = DataSpecP5B[i].lambda;
n = DataSpecP5B[i].refLeafMatInd;
diff --git a/Code/Simulation/otbSailModel.cxx b/Code/Simulation/otbSailModel.cxx
index d1e06602781c26d0d6aef883ad4f7800c176924f..7fc3c12f7b84954eeaeb29d3f1107814760b54e1 100644
--- a/Code/Simulation/otbSailModel.cxx
+++ b/Code/Simulation/otbSailModel.cxx
@@ -210,7 +210,7 @@ SailModel
VectorType result(4);
// Weighted sums over LIDF
- for(unsigned int i=0; i<lidf.size(); i++)
+ for(unsigned int i=0; i<lidf.size(); ++i)
{
ttl = 2.5+5*i; // leaf inclination discrete values
ctl = vcl_cos(rd*ttl);
@@ -272,7 +272,7 @@ SailModel
double resh, resv;
int nbdata = sizeof(DataSpecP5B) / sizeof(DataSpec);
- for (int i = 0; i < nbdata; i++)
+ for (int i = 0; i < nbdata; ++i)
{
lambda = DataSpecP5B[i].lambda;
Es = DataSpecP5B[i].directLight; //8
@@ -397,7 +397,7 @@ SailModel
fint=(1.-exp(-alf))*0.05;
sumint=0;
- for(unsigned int j=1; j<=20; j++)
+ for(unsigned int j=1; j<=20; ++j)
{
if (j<20) x2 = -vcl_log(1.-j*fint)/alf;
else x2 = 1;
@@ -466,7 +466,7 @@ SailModel
double tl1, tl2, x1, x2, v, alpha, alpha2, x12, x22, alpx1, alpx2, dum, almx1, almx2;
VectorType temp;
- for(unsigned int i=0; i<n; i++)
+ for(unsigned int i=0; i<n; ++i)
{
tx2 = 5*i;
tx1 = 5*(i+1);
@@ -509,7 +509,7 @@ SailModel
}
}
- for(unsigned int i=0; i<n; i++)
+ for(unsigned int i=0; i<n; ++i)
{
freq.push_back(temp[i]/sum);
}
diff --git a/Code/Simulation/otbSatelliteRSR.txx b/Code/Simulation/otbSatelliteRSR.txx
index 36041d1ade9d4885f9939beb563d08ebd209229d..1129246ff015b147656cec325702565e24d00db8 100644
--- a/Code/Simulation/otbSatelliteRSR.txx
+++ b/Code/Simulation/otbSatelliteRSR.txx
@@ -128,7 +128,7 @@ SatelliteRSR<TPrecision, TValuePrecision>
//typename VectorPairType::iterator it = m_RSR.begin();
//it = m_RSR.at(0);
- for(typename RSRVectorType::const_iterator it = m_RSR.begin(); it != m_RSR.end(); it++)
+ for(typename RSRVectorType::const_iterator it = m_RSR.begin(); it != m_RSR.end(); ++it)
{
os << indent << "Band Number " << it - m_RSR.begin() << std::endl;
(*it)->PrintSelf (os, indent);
diff --git a/Code/Simulation/otbSpatialisationFilter.txx b/Code/Simulation/otbSpatialisationFilter.txx
index 5db18d871b389e7cf4630a8de21706d82ef59138..ac51b65f120fa5e6c82cb86c371b6e65aa004859 100644
--- a/Code/Simulation/otbSpatialisationFilter.txx
+++ b/Code/Simulation/otbSpatialisationFilter.txx
@@ -55,7 +55,7 @@ SpatialisationFilter<TLabelMap>
unsigned int numberOfObjects = m_NumberOfObjects[0] * m_NumberOfObjects[1];
//first object must have label 1. 0 is for background value in a label map.
- for (unsigned int i = 0; i < numberOfObjects; i++)
+ for (unsigned int i = 0; i < numberOfObjects; ++i)
{
this->ProcessObject(i);
}
diff --git a/Code/Simulation/otbSpectralResponse.txx b/Code/Simulation/otbSpectralResponse.txx
index e9f9c04ac232aa6456cf5a233c86367a32232030..dd96dcd587ca7a84290e937c759cbf662e0e2c0c 100644
--- a/Code/Simulation/otbSpectralResponse.txx
+++ b/Code/Simulation/otbSpectralResponse.txx
@@ -117,7 +117,7 @@ SpectralResponse<TPrecision, TValuePrecision>
unsigned int lambdaPosGuess = static_cast<unsigned int> ((lambda - lambdaMin) / (lambdaMax - lambdaMin)
* m_Response.size()) - 1;
- for (typename VectorPairType::const_iterator it = beg + lambdaPosGuess; it <= last; it++)
+ for (typename VectorPairType::const_iterator it = beg + lambdaPosGuess; it <= last; ++it)
{
// if the guess was too high
if ((*it).first >= lambda)
diff --git a/Code/Simulation/otbSurfaceReflectanceToReflectanceFilter.txx b/Code/Simulation/otbSurfaceReflectanceToReflectanceFilter.txx
index 21274e3350ce3b9ff8e216a7c9f0b2dad2a01fa0..2f43afe5b8021ec9a1f6eab200a8505d638c4414 100644
--- a/Code/Simulation/otbSurfaceReflectanceToReflectanceFilter.txx
+++ b/Code/Simulation/otbSurfaceReflectanceToReflectanceFilter.txx
@@ -99,7 +99,7 @@ SurfaceReflectanceToReflectanceFilter<TInputImage, TOutputImage>
{
itkExceptionMacro(<<"Filter Function and image channels mismatch.");
}
- for(unsigned int i=0; i<this->GetInput()->GetNumberOfComponentsPerPixel(); i++)
+ for(unsigned int i=0; i<this->GetInput()->GetNumberOfComponentsPerPixel(); ++i)
{
FilterFunctionValuesType::Pointer functionValues = FilterFunctionValuesType::New();
functionValues->SetFilterFunctionValues(m_FilterFunctionCoef[i]);
diff --git a/Code/Testing/otbTestDriver.cxx b/Code/Testing/otbTestDriver.cxx
index 16b2059985025293c2eebb5d64ce13a738976ae6..673aa4e0454ae495adb03dcbe4a173085f344032 100644
--- a/Code/Testing/otbTestDriver.cxx
+++ b/Code/Testing/otbTestDriver.cxx
@@ -165,7 +165,7 @@ int main(int ac, char* av[])
}
// a NULL is required at the end of the table
char** argv = new char*[remainingArgs.size() + 2];
- for (int i = 0; i < static_cast<int>(remainingArgs.size()); i++)
+ for (int i = 0; i < static_cast<int>(remainingArgs.size()); ++i)
{
argv[i + 1] = remainingArgs[i];
}
diff --git a/Code/Testing/otbTestHelper.cxx b/Code/Testing/otbTestHelper.cxx
index 6badcde5c2c3ffdf622c9b2e1491511e484f2bcb..2057c603d9f5bff26e69f8cb07fc70c10ed05627 100644
--- a/Code/Testing/otbTestHelper.cxx
+++ b/Code/Testing/otbTestHelper.cxx
@@ -115,7 +115,7 @@ int TestHelper::RegressionTestAllImages(const StringList& baselineFilenamesImage
(baseline->first).c_str(),
m_ToleranceDiffValue);
}
- cpt++;
+ ++cpt;
result += multiResult;
}
return result;
@@ -1381,7 +1381,7 @@ bool TestHelper::isScientificNumeric(const std::string& str) const
if ((str[0] != '+') && (str[0] != '-') && (!isNumber(number))) return false;
if ((str[0] == '+') || (str[0] == '-'))
{
- cpt++;
+ ++cpt;
signDetected = true;
}
@@ -1410,7 +1410,7 @@ bool TestHelper::isScientificNumeric(const std::string& str) const
number = str[cpt];
if (!isNumber(number)) return false;
}
- cpt++;
+ ++cpt;
}
return true;
@@ -1489,7 +1489,7 @@ void TestHelper::AddWhiteSpace(const std::string& strIn, std::string &strOut) co
keysOut.push_back(" : ");
keysOut.push_back(" , ");
- for (unsigned int it = 0; it < keys.size(); it++)
+ for (unsigned int it = 0; it < keys.size(); ++it)
{
size_t found;
found=strLine.find(keys[it]);
diff --git a/Code/UtilitiesAdapters/OssimAdapters/otbAeronetFileReader.cxx b/Code/UtilitiesAdapters/OssimAdapters/otbAeronetFileReader.cxx
index 28a063cdee96da2a23f056dd1102cd664915dc53..33b7240407190513860f74990df177196cd9af0c 100644
--- a/Code/UtilitiesAdapters/OssimAdapters/otbAeronetFileReader.cxx
+++ b/Code/UtilitiesAdapters/OssimAdapters/otbAeronetFileReader.cxx
@@ -188,7 +188,7 @@ AeronetFileReader
mean = 0.;
stddev = 0.;
if (vec.size() <= 0) return;
- for (unsigned int i = 0; i < vec.size(); i++)
+ for (unsigned int i = 0; i < vec.size(); ++i)
{
sum += vec[i];
sumOfSquares += vec[i] * vec[i];
diff --git a/Code/Visualization/otbCircleGlComponent.cxx b/Code/Visualization/otbCircleGlComponent.cxx
index 7fecfe384e8f540c7f14c1a43ba89bfe2fc45c0c..602d52f8dd7bcaff186d1b36bc5d29e566de2c61 100644
--- a/Code/Visualization/otbCircleGlComponent.cxx
+++ b/Code/Visualization/otbCircleGlComponent.cxx
@@ -75,7 +75,7 @@ CircleGlComponent
// Enabling line antialiasing
glEnable(GL_POINT_SMOOTH);
- for (unsigned int i = 0; i < m_IndexList.size(); i++)
+ for (unsigned int i = 0; i < m_IndexList.size(); ++i)
{
this->Render(i, extent, space2ScreenTransform);
}
diff --git a/Code/Visualization/otbCrossGlComponent.cxx b/Code/Visualization/otbCrossGlComponent.cxx
index 1998a30d177507ecce98d0d062a32780f6a201b9..821f514606ac3bb9277f33858d1a6cdbbff31461 100644
--- a/Code/Visualization/otbCrossGlComponent.cxx
+++ b/Code/Visualization/otbCrossGlComponent.cxx
@@ -73,7 +73,7 @@ CrossGlComponent
// Enabling line antialiasing
glEnable(GL_LINE_SMOOTH);
- for (unsigned int i = 0; i < m_IndexList.size(); i++)
+ for (unsigned int i = 0; i < m_IndexList.size(); ++i)
{
this->Render(i, extent, space2ScreenTransform);
}
diff --git a/Code/Visualization/otbCurves2DWidget.cxx b/Code/Visualization/otbCurves2DWidget.cxx
index 7542cfe5a8cff537193e1d5cb1bf2527444c8038..7bd7a3a80b799c6d14c4c9cb69621dd56564a481 100644
--- a/Code/Visualization/otbCurves2DWidget.cxx
+++ b/Code/Visualization/otbCurves2DWidget.cxx
@@ -71,7 +71,7 @@ void Curves2DWidget::RemoveCurveByItsID(unsigned int id)
{
unsigned int size = m_Curves->Size();
- for (unsigned int j = 0; j < size; j++)
+ for (unsigned int j = 0; j < size; ++j)
{
if (m_Curves->GetNthElement(j)->GetId() == id)
{
@@ -84,7 +84,7 @@ void Curves2DWidget::RemoveCurveByItsID(unsigned int id)
Curves2DWidget::CurvePointerType
Curves2DWidget::GetCurveByItsId(unsigned int id)
{
- for (unsigned int j = 0; j < m_Curves->Size(); j++)
+ for (unsigned int j = 0; j < m_Curves->Size(); ++j)
{
if (m_Curves->GetNthElement(j)->GetId() == id)
{
diff --git a/Code/Visualization/otbGaussianRenderingFunction.h b/Code/Visualization/otbGaussianRenderingFunction.h
index 9016af3a86fccffe3f4e5ab972606ed22bd25631..de760ba9384bd9803124ccf4a4d5d4d3c95964c7 100644
--- a/Code/Visualization/otbGaussianRenderingFunction.h
+++ b/Code/Visualization/otbGaussianRenderingFunction.h
@@ -151,7 +151,7 @@ namespace otb
ParametersType psup;
psup.SetSize(p.GetSize() - 2);
- for (unsigned int i = 0; i < psup.GetSize(); i++)
+ for (unsigned int i = 0; i < psup.GetSize(); ++i)
{
psup[i] = p[i + 2];
}
@@ -182,7 +182,7 @@ namespace otb
p[0] = m_Mean;
p[1] = m_StandardDeviation;
- for (unsigned int i = 0; i < psup.GetSize(); i++)
+ for (unsigned int i = 0; i < psup.GetSize(); ++i)
{
p[i + 2] = psup[i];
}
diff --git a/Code/Visualization/otbVectorDataModel.cxx b/Code/Visualization/otbVectorDataModel.cxx
index 0e81b07ddf8a70a43a40d266f2cde827d26bff7e..e6ec2b8653dac01311a3489ea0cfe75c7cf422a3 100644
--- a/Code/Visualization/otbVectorDataModel.cxx
+++ b/Code/Visualization/otbVectorDataModel.cxx
@@ -347,7 +347,7 @@ VectorDataModel::CopyFields( TreeNodeType * node )
{
std::vector< std::string > fieldList = node->Get()->GetFieldList();
unsigned int i;
- for (i=0; i < fieldList.size(); i++)
+ for (i=0; i < fieldList.size(); ++i)
{
m_CurrentGeometry->SetFieldAsString(fieldList.at(i), node->Get()->GetFieldAsString(fieldList.at(i)));
}
diff --git a/Examples/Classification/BayesianPluginClassifier.cxx b/Examples/Classification/BayesianPluginClassifier.cxx
index f2e5bf96e78814b121a02fccd949911dcba46e0d..81ee71e312680924e6578d62afe36f46d64f605b 100644
--- a/Examples/Classification/BayesianPluginClassifier.cxx
+++ b/Examples/Classification/BayesianPluginClassifier.cxx
@@ -303,7 +303,7 @@ int main(int, char *[])
// Software Guide : BeginCodeSnippet
std::vector<MembershipFunctionType::Pointer> membershipFunctions;
- for (unsigned int i = 0; i < 2; i++)
+ for (unsigned int i = 0; i < 2; ++i)
{
membershipFunctions.push_back(MembershipFunctionType::New());
membershipFunctions[i]->SetMean(meanEstimators[i]->GetOutput());
diff --git a/Examples/Classification/ExpectationMaximizationMixtureModelEstimator.cxx b/Examples/Classification/ExpectationMaximizationMixtureModelEstimator.cxx
index 6ebbafab1c97a96abc1e241afb19bbd62dd9d3ad..c2a4798f2dd471749463d1c2f0c28ec36915839b 100644
--- a/Examples/Classification/ExpectationMaximizationMixtureModelEstimator.cxx
+++ b/Examples/Classification/ExpectationMaximizationMixtureModelEstimator.cxx
@@ -203,7 +203,7 @@ int main()
ComponentType;
std::vector<ComponentType::Pointer> components;
- for (unsigned int i = 0; i < numberOfClasses; i++)
+ for (unsigned int i = 0; i < numberOfClasses; ++i)
{
components.push_back(ComponentType::New());
(components[i])->SetSample(sample);
@@ -231,7 +231,7 @@ int main()
estimator->SetInitialProportions(initialProportions);
- for (unsigned int i = 0; i < numberOfClasses; i++)
+ for (unsigned int i = 0; i < numberOfClasses; ++i)
{
estimator->AddComponent((ComponentType::Superclass*)
(components[i]).GetPointer());
@@ -247,7 +247,7 @@ int main()
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
- for (unsigned int i = 0; i < numberOfClasses; i++)
+ for (unsigned int i = 0; i < numberOfClasses; ++i)
{
std::cout << "Cluster[" << i << "]" << std::endl;
std::cout << " Parameters:" << std::endl;
diff --git a/Examples/Classification/KdTreeBasedKMeansClustering.cxx b/Examples/Classification/KdTreeBasedKMeansClustering.cxx
index 9d1314e71dd8844988c6c3f52e71a33f5af23ad8..12def87f0fce10c649e1ade68506382fd71b2dd1 100644
--- a/Examples/Classification/KdTreeBasedKMeansClustering.cxx
+++ b/Examples/Classification/KdTreeBasedKMeansClustering.cxx
@@ -338,10 +338,10 @@ int main()
MembershipFunctionType::OriginType origin(
sample->GetMeasurementVectorSize());
int index = 0;
- for (unsigned int i = 0; i < 2; i++)
+ for (unsigned int i = 0; i < 2; ++i)
{
membershipFunctions.push_back(MembershipFunctionType::New());
- for (unsigned int j = 0; j < sample->GetMeasurementVectorSize(); j++)
+ for (unsigned int j = 0; j < sample->GetMeasurementVectorSize(); ++j)
{
origin[j] = estimatedMeans[index++];
}
diff --git a/Examples/Classification/ScalarImageKmeansClassifier.cxx b/Examples/Classification/ScalarImageKmeansClassifier.cxx
index 3dd64b609967d521e94aa9695acd7938731cb674..43821b39e8345bc35057c54bd90cc4bd636241aa 100644
--- a/Examples/Classification/ScalarImageKmeansClassifier.cxx
+++ b/Examples/Classification/ScalarImageKmeansClassifier.cxx
@@ -140,7 +140,7 @@ int main(int argc, char * argv[])
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
- for (unsigned k = 0; k < numberOfInitialClasses; k++)
+ for (unsigned k = 0; k < numberOfInitialClasses; ++k)
{
const double userProvidedInitialMean = atof(argv[k + argoffset]);
kmeansFilter->AddClassWithInitialMean(userProvidedInitialMean);
diff --git a/Examples/Classification/ScalarImageMarkovRandomField1.cxx b/Examples/Classification/ScalarImageMarkovRandomField1.cxx
index b27b22d760115d9a9a71ca288216bfedf83814c5..d4318ce12a82a3bfe1c3cddac71362522c67120d 100644
--- a/Examples/Classification/ScalarImageMarkovRandomField1.cxx
+++ b/Examples/Classification/ScalarImageMarkovRandomField1.cxx
@@ -269,7 +269,7 @@ int main(int argc, char * argv[])
double meanDistance = 0;
vnl_vector<double> centroid(1);
- for (unsigned int i = 0; i < numberOfClasses; i++)
+ for (unsigned int i = 0; i < numberOfClasses; ++i)
{
MembershipFunctionPointer membershipFunction =
MembershipFunctionType::New();
diff --git a/Examples/DataRepresentation/Mesh/PointSetWithVectors.cxx b/Examples/DataRepresentation/Mesh/PointSetWithVectors.cxx
index 5f8a1781192a53d83a476f6cb2c16ddf8657c861..f0641b0c2102c87339a6dd6d12e7e8c6f35f17b5 100644
--- a/Examples/DataRepresentation/Mesh/PointSetWithVectors.cxx
+++ b/Examples/DataRepresentation/Mesh/PointSetWithVectors.cxx
@@ -99,7 +99,7 @@ int main(int, char *[])
unsigned int pointId = 0;
const double radius = 300.0;
- for (unsigned int i = 0; i < 360; i++)
+ for (unsigned int i = 0; i < 360; ++i)
{
const double angle = i * atan(1.0) / 45.0;
point[0] = radius * sin(angle);
diff --git a/Examples/FeatureExtraction/ExtractSegmentsByStepsExample.cxx b/Examples/FeatureExtraction/ExtractSegmentsByStepsExample.cxx
index 4425b4af47f8f81b07a509b62e1b21f03f81a0f9..ee009126f034fd6077341fbb352d46b469fca5eb 100644
--- a/Examples/FeatureExtraction/ExtractSegmentsByStepsExample.cxx
+++ b/Examples/FeatureExtraction/ExtractSegmentsByStepsExample.cxx
@@ -52,7 +52,7 @@ int main(int argc, char * argv[])
if (argc != 12)
{
- for (int i = 0; i < argc; i++)
+ for (int i = 0; i < argc; ++i)
std::cerr << argv[i] << std::endl;
std::cerr << "Usage: " << argv[0] << " inputImageFile ";
std::cerr << " outputSegmentsImageFile length width ";
diff --git a/Examples/FeatureExtraction/ExtractSegmentsExample.cxx b/Examples/FeatureExtraction/ExtractSegmentsExample.cxx
index 099eff10ba0bd9bf6b22a88028d3793496507229..6102f55c6d8eb3e1fbd797e94053ecce517423f2 100644
--- a/Examples/FeatureExtraction/ExtractSegmentsExample.cxx
+++ b/Examples/FeatureExtraction/ExtractSegmentsExample.cxx
@@ -46,7 +46,7 @@ int main(int argc, char * argv[])
if (argc != 12)
{
- for (int i = 0; i < argc; i++)
+ for (int i = 0; i < argc; ++i)
std::cerr << argv[i] << std::endl;
std::cerr << "Usage: " << argv[0] << " inputImageFile ";
std::cerr << " outputSegmentsImageFile length width ";
diff --git a/Examples/FeatureExtraction/FlusserMomentsImageFunctionExample.cxx b/Examples/FeatureExtraction/FlusserMomentsImageFunctionExample.cxx
index eeeff99dc5c1d3c16233ee85c794c6caef41fdcc..5eaa18745c526522ef89c614eb52dc86a2588780 100644
--- a/Examples/FeatureExtraction/FlusserMomentsImageFunctionExample.cxx
+++ b/Examples/FeatureExtraction/FlusserMomentsImageFunctionExample.cxx
@@ -129,7 +129,7 @@ int main(int argc, char * argv[])
// Software Guide : BeginCodeSnippet
MomentType Result = fmFunction->EvaluateAtIndex(center);
- for (unsigned int j=0; j<11; j++)
+ for (unsigned int j=0; j<11; ++j)
{
std::cout << "The moment of order " << j+1 <<
" is equal to " << Result[j] << std::endl;
diff --git a/Examples/FeatureExtraction/HuMomentsImageFunctionExample.cxx b/Examples/FeatureExtraction/HuMomentsImageFunctionExample.cxx
index 8f1b978ca305622221a80eb5291ce2df99a6fd24..75c017d00cf7eacf991ef315d6ddc4a7ff8268fe 100644
--- a/Examples/FeatureExtraction/HuMomentsImageFunctionExample.cxx
+++ b/Examples/FeatureExtraction/HuMomentsImageFunctionExample.cxx
@@ -129,7 +129,7 @@ int main(int argc, char * argv[])
// Software Guide : BeginCodeSnippet
MomentType Result = hmFunction->EvaluateAtIndex(center);
- for (unsigned int j=0; j<7; j++)
+ for (unsigned int j=0; j<7; ++j)
{
std::cout << "The moment of order " << j+1 <<
" is equal to " << Result[j] << std::endl;
diff --git a/Examples/FeatureExtraction/SeamCarvingExample.cxx b/Examples/FeatureExtraction/SeamCarvingExample.cxx
index 8efaebe8b65b6be9c42db39f9cdece31d8f646a7..ed19ca151c2531cd5c4aa2c9abe4aef59306522b 100644
--- a/Examples/FeatureExtraction/SeamCarvingExample.cxx
+++ b/Examples/FeatureExtraction/SeamCarvingExample.cxx
@@ -145,7 +145,7 @@ int main(int argc, char * argv[])
double energyVert, energyHor;
- for (int i = 0; i < iteration; i++)
+ for (int i = 0; i < iteration; ++i)
{
gradient->SetInput(duplicator->GetOutput());
diff --git a/Examples/FeatureExtraction/SeamCarvingOtherExample.cxx b/Examples/FeatureExtraction/SeamCarvingOtherExample.cxx
index b3a665d111478dbc303e3d476f330f6a88a7812c..5384fd08c25008c155d7877d8bdd7bff263ae379 100644
--- a/Examples/FeatureExtraction/SeamCarvingOtherExample.cxx
+++ b/Examples/FeatureExtraction/SeamCarvingOtherExample.cxx
@@ -136,7 +136,7 @@ int main(int argc, char * argv[])
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
- for (int i = 0; i < iteration; i++)
+ for (int i = 0; i < iteration; ++i)
{
gradient->SetInput(duplicator->GetOutput());
diff --git a/Examples/IO/ImageSeriesIOExample.cxx b/Examples/IO/ImageSeriesIOExample.cxx
index e2eb776954b7e213c319e38e44f8baa3b2176b06..9fa39ca80235596a16438b416e84aaf36cdcdd4e 100644
--- a/Examples/IO/ImageSeriesIOExample.cxx
+++ b/Examples/IO/ImageSeriesIOExample.cxx
@@ -112,7 +112,7 @@ int main(int argc, char** argv)
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
- for (unsigned int i = 0; i < NbImages; i++)
+ for (unsigned int i = 0; i < NbImages; ++i)
{
ImageReaderType::Pointer imageReader = ImageReaderType::New();
diff --git a/Examples/IO/MetadataExample.cxx b/Examples/IO/MetadataExample.cxx
index 741c1fa733fb3100166d8cf29e79a2f588037cc1..1f5c47b149197de9339e5d17f40fb73cbc7a5a86 100644
--- a/Examples/IO/MetadataExample.cxx
+++ b/Examples/IO/MetadataExample.cxx
@@ -159,7 +159,7 @@ int main(int argc, char* argv[])
InputImageType::VectorType tab = image->GetGeoTransform();
file << "Geo Transform " << std::endl;
- for (unsigned int i = 0; i < tab.size(); i++)
+ for (unsigned int i = 0; i < tab.size(); ++i)
{
file << " " << i << " -> " << tab[i] << std::endl;
}
@@ -167,28 +167,28 @@ int main(int argc, char* argv[])
tab = image->GetUpperLeftCorner();
file << "Corners " << std::endl;
- for (unsigned int i = 0; i < tab.size(); i++)
+ for (unsigned int i = 0; i < tab.size(); ++i)
{
file << " UL[" << i << "] -> " << tab[i] << std::endl;
}
tab.clear();
tab = image->GetUpperRightCorner();
- for (unsigned int i = 0; i < tab.size(); i++)
+ for (unsigned int i = 0; i < tab.size(); ++i)
{
file << " UR[" << i << "] -> " << tab[i] << std::endl;
}
tab.clear();
tab = image->GetLowerLeftCorner();
- for (unsigned int i = 0; i < tab.size(); i++)
+ for (unsigned int i = 0; i < tab.size(); ++i)
{
file << " LL[" << i << "] -> " << tab[i] << std::endl;
}
tab.clear();
tab = image->GetLowerRightCorner();
- for (unsigned int i = 0; i < tab.size(); i++)
+ for (unsigned int i = 0; i < tab.size(); ++i)
{
file << " LR[" << i << "] -> " << tab[i] << std::endl;
}
diff --git a/Examples/Iterators/ImageLinearIteratorWithIndex2.cxx b/Examples/Iterators/ImageLinearIteratorWithIndex2.cxx
index 7b62fba93dad260808c5729f83049ce83b33ae42..8ff2da25160dd4a5a8c4490fe1219ed497abaf6f 100644
--- a/Examples/Iterators/ImageLinearIteratorWithIndex2.cxx
+++ b/Examples/Iterators/ImageLinearIteratorWithIndex2.cxx
@@ -105,7 +105,7 @@ int main(int argc, char *argv[])
Spacing4DType spacing4D = image4D->GetSpacing();
Origin4DType origin4D = image4D->GetOrigin();
- for (unsigned int i = 0; i < 3; i++)
+ for (unsigned int i = 0; i < 3; ++i)
{
size3D[i] = size4D[i];
index3D[i] = index4D[i];
diff --git a/Examples/Iterators/ImageRegionIterator.cxx b/Examples/Iterators/ImageRegionIterator.cxx
index 2185c9ade3a15b58d612a16012336559a17733fd..81370364013ebc40941ea187fc30fb07f274e4b4 100644
--- a/Examples/Iterators/ImageRegionIterator.cxx
+++ b/Examples/Iterators/ImageRegionIterator.cxx
@@ -172,7 +172,7 @@ int main(int argc, char *argv[])
const ImageType::PointType& inputOrigin = reader->GetOutput()->GetOrigin();
double outputOrigin[Dimension];
- for (unsigned int i = 0; i < Dimension; i++)
+ for (unsigned int i = 0; i < Dimension; ++i)
{
outputOrigin[i] = inputOrigin[i] + spacing[i] * inputStart[i];
}
diff --git a/Examples/Iterators/ImageSliceIteratorWithIndex.cxx b/Examples/Iterators/ImageSliceIteratorWithIndex.cxx
index 6ad57d39a5052fe572be99cdb1f8661e9a9393fa..c634e4b800c0d5c3ad36201678d52a081942eba3 100644
--- a/Examples/Iterators/ImageSliceIteratorWithIndex.cxx
+++ b/Examples/Iterators/ImageSliceIteratorWithIndex.cxx
@@ -182,7 +182,7 @@ int main(int argc, char *argv[])
if (i != projectionDirection)
{
direction[j] = i;
- j++;
+ ++j;
}
}
// Software Guide : EndCodeSnippet
diff --git a/Examples/Iterators/NeighborhoodIterators6.cxx b/Examples/Iterators/NeighborhoodIterators6.cxx
index 8382c8e7d188f44239d83ecc96618909ad0f8c03..972dbc13452be4b978e13cea563b88b620069159 100644
--- a/Examples/Iterators/NeighborhoodIterators6.cxx
+++ b/Examples/Iterators/NeighborhoodIterators6.cxx
@@ -186,7 +186,7 @@ int main(int argc, char *argv[])
flag = false;
PixelType min = it.GetCenterPixel();
- for (unsigned i = 0; i < it.Size(); i++)
+ for (unsigned i = 0; i < it.Size(); ++i)
{
if (it.GetPixel(i) < min)
{
diff --git a/Examples/Learning/SEMModelEstimatorExample.cxx b/Examples/Learning/SEMModelEstimatorExample.cxx
index ba212fc3e336c162bad39fb72698acf416568a4a..ed0c6f4563fcd340b71dc6600f8431fe64e0c441 100644
--- a/Examples/Learning/SEMModelEstimatorExample.cxx
+++ b/Examples/Learning/SEMModelEstimatorExample.cxx
@@ -174,7 +174,7 @@ int main(int argc, char * argv[])
typedef otb::Statistics::GaussianModelComponent<ClassSampleType>
GaussianType;
- for (int i = 0; i < numberOfClasses; i++)
+ for (int i = 0; i < numberOfClasses; ++i)
classifier->AddComponent(i, GaussianType::New());
// Software Guide : EndCodeSnippet
diff --git a/Examples/Projections/SensorModelExample.cxx b/Examples/Projections/SensorModelExample.cxx
index 8ad29dcc63a2918c742581c3ac7ce717767bbb72..acb37f23ad63d9dcbb8e8d46f42231ebe5da604f 100644
--- a/Examples/Projections/SensorModelExample.cxx
+++ b/Examples/Projections/SensorModelExample.cxx
@@ -390,7 +390,7 @@ int main(int argc, char* argv[])
max_y = pixelIndexArray[1];
min_y = pixelIndexArray[1];
- for (j = 0; j < It; j++)
+ for (j = 0; j < It; ++j)
{
if (j % 2 == 0 && pixelIndexArray[j] > max_x)
{
@@ -454,7 +454,7 @@ int main(int argc, char* argv[])
// Software Guide : BeginCodeSnippet
interpolator->SetInputImage(extract->GetOutput());
- for (k = 0; k < It / 2; k++)
+ for (k = 0; k < It / 2; ++k)
{
pixelIndexBis[0] = pixelIndexArray[2 * k];
pixelIndexBis[1] = pixelIndexArray[2 * k + 1];
diff --git a/Examples/Radiometry/AtmosphericCorrectionSequencement.cxx b/Examples/Radiometry/AtmosphericCorrectionSequencement.cxx
index 6a6438995cf95203819b4ff56edb3e88eaaeb5ec..6403506c19c6993377caa5c4e9c48b4d8059cb9a 100644
--- a/Examples/Radiometry/AtmosphericCorrectionSequencement.cxx
+++ b/Examples/Radiometry/AtmosphericCorrectionSequencement.cxx
@@ -181,7 +181,7 @@ int main(int argc, char *argv[])
std::ifstream fin;
fin.open(argv[3]);
double dalpha(0.), dbeta(0.);
- for (unsigned int i = 0; i < nbOfComponent; i++)
+ for (unsigned int i = 0; i < nbOfComponent; ++i)
{
fin >> dalpha;
fin >> dbeta;
@@ -241,7 +241,7 @@ int main(int argc, char *argv[])
fin.open(argv[4]);
double dsolarIllumination(0.);
- for (unsigned int i = 0; i < nbOfComponent; i++)
+ for (unsigned int i = 0; i < nbOfComponent; ++i)
{
fin >> dsolarIllumination;
solarIllumination[i] = dsolarIllumination;
@@ -317,7 +317,7 @@ int main(int argc, char *argv[])
fin.open(argv[5]);
fin >> nbBands;
- for (unsigned int i = 0; i < nbBands; i++)
+ for (unsigned int i = 0; i < nbBands; ++i)
{
vector.clear();
fin >> sString;
@@ -325,7 +325,7 @@ int main(int argc, char *argv[])
fin >> maxSpectralValue;
fin >> userStep;
fin >> nbValuesPerBand;
- for (unsigned int j = 0; j < nbValuesPerBand; j++)
+ for (unsigned int j = 0; j < nbValuesPerBand; ++j)
{
fin >> value;
vector.push_back(value);
diff --git a/Testing/Code/BasicFilters/otbAngularProjectionBinaryImageFilter.cxx b/Testing/Code/BasicFilters/otbAngularProjectionBinaryImageFilter.cxx
index 6f1bb2bd4fc0214b1e3847bf2d10ccdd93217d08..0beb6ea23f5a08166e5c54ab96c5c04e410f842a 100644
--- a/Testing/Code/BasicFilters/otbAngularProjectionBinaryImageFilter.cxx
+++ b/Testing/Code/BasicFilters/otbAngularProjectionBinaryImageFilter.cxx
@@ -108,7 +108,7 @@ int otbAngularProjectionBinaryImageFilterTest ( int argc, char * argv[] )
std::vector< WriterType::Pointer > writers;
writers.resize( filter->GetNumberOfOutputs() );
- for ( unsigned int i = 0; i < filter->GetNumberOfOutputs(); i++ )
+ for ( unsigned int i = 0; i < filter->GetNumberOfOutputs(); ++i )
{
std::stringstream title;
title << outputImageName << "_" << i << ".hdr";
diff --git a/Testing/Code/BasicFilters/otbBandMathImageFilter.cxx b/Testing/Code/BasicFilters/otbBandMathImageFilter.cxx
index f55847fc05b1e155d282248ed633d49bad0f86a1..4402512a6419646f3e86823238505248b1252011 100644
--- a/Testing/Code/BasicFilters/otbBandMathImageFilter.cxx
+++ b/Testing/Code/BasicFilters/otbBandMathImageFilter.cxx
@@ -164,7 +164,7 @@ int otbBandMathImageFilter( int argc, char* argv[])
std::cout << "- nan section\n";
it1.GoToBegin(); it2.GoToBegin(); it.GoToBegin();
- for(i=1; i<=50; i++ , ++it1, ++it2, ++it){}
+ for(i=1; i<=50; ++i , ++it1, ++it2, ++it){}
if(vnl_math_isnan(it.Get()))
std::cout << "Pixel_1 = " << it1.Get() << " Pixel_2 = " << it2.Get() << " Result = " << it.Get() << " Expected = nan\n";
else
diff --git a/Testing/Code/BasicFilters/otbBoxAndWhiskerImageFilter.cxx b/Testing/Code/BasicFilters/otbBoxAndWhiskerImageFilter.cxx
index a8493abc04b2ec734ed63bf87895d8c0be7bf9b5..fd900b2a16d8c11f6c02ca436a8d6edb78b0be94 100644
--- a/Testing/Code/BasicFilters/otbBoxAndWhiskerImageFilter.cxx
+++ b/Testing/Code/BasicFilters/otbBoxAndWhiskerImageFilter.cxx
@@ -88,7 +88,7 @@ int otbBoxAndWhiskerImageFilter(int argc, char * argv[])
ImageType::PixelType outputPixel = outputIt.Get();
const unsigned int vectorSize = pixel.Size();
- for (unsigned i = 0; i < vectorSize; i++)
+ for (unsigned i = 0; i < vectorSize; ++i)
{
if ( OutlierType::IsMissingValue(pixel[i]) )
{
diff --git a/Testing/Code/BasicFilters/otbChangeLabelImageFilter.cxx b/Testing/Code/BasicFilters/otbChangeLabelImageFilter.cxx
index 6c1ca304274a26528889a9b076885911e686b513..49026bd169ed5a2908214a484555bc203b7a9e83 100644
--- a/Testing/Code/BasicFilters/otbChangeLabelImageFilter.cxx
+++ b/Testing/Code/BasicFilters/otbChangeLabelImageFilter.cxx
@@ -62,7 +62,7 @@ int otbChangeLabelImageFilter(int argc, char * argv[])
background[2] = 0;
filter->SetChange(0, 0);
- for (InputPixelType i = lower; i <= upper; i++)
+ for (InputPixelType i = lower; i <= upper; ++i)
{
filter->SetChange(i, background);
}
diff --git a/Testing/Code/BasicFilters/otbConcatenateVectorDataFilter.cxx b/Testing/Code/BasicFilters/otbConcatenateVectorDataFilter.cxx
index 12d3bca4474c24b5844fa5a94dc2637655fc6bc1..b308eea54cf95514106f41266136df0a7f4b2e28 100644
--- a/Testing/Code/BasicFilters/otbConcatenateVectorDataFilter.cxx
+++ b/Testing/Code/BasicFilters/otbConcatenateVectorDataFilter.cxx
@@ -57,7 +57,7 @@ int otbConcatenateVectorDataFilter (int argc, char * argv[])
// Concatenate the vector datas
ConcatenateFilterType::Pointer concatenate = ConcatenateFilterType::New();
- for (unsigned int idx = 0; idx < nbInputs; idx++)
+ for (unsigned int idx = 0; idx < nbInputs; ++idx)
{
// Reader object
ReaderType::Pointer reader = ReaderType::New();
diff --git a/Testing/Code/BasicFilters/otbImagePCAShapeModelEstimatorTest.cxx b/Testing/Code/BasicFilters/otbImagePCAShapeModelEstimatorTest.cxx
index de76efa3840291d173c0bd460597d7f02489bcc3..9cb6257b52bbf99dfc99b76811583d380f4ddfea 100644
--- a/Testing/Code/BasicFilters/otbImagePCAShapeModelEstimatorTest.cxx
+++ b/Testing/Code/BasicFilters/otbImagePCAShapeModelEstimatorTest.cxx
@@ -59,12 +59,12 @@ int otbImagePCAShapeModelEstimatorTest(int argc, char* argv[])
std::vector<std::string> imagesfilenames;
std::vector<std::string> outputimagesfilenames;
int cpt(3);
- for(; cpt<(numberOfTrainingImages+3); cpt++)
+ for(; cpt<(numberOfTrainingImages+3); ++cpt)
{
imagesfilenames.push_back(argv[cpt]);
}
int cpt2(cpt);
- for(; cpt<(numberOfPrincipalComponentsRequired+cpt2); cpt++)
+ for(; cpt<(numberOfPrincipalComponentsRequired+cpt2); ++cpt)
{
outputimagesfilenames.push_back(argv[cpt]);
}
@@ -164,7 +164,7 @@ int otbImagePCAShapeModelEstimatorTest(int argc, char* argv[])
applyPCAShapeEstimator->GetNumberOfPrincipalComponentsRequired() <<
" largest eigen values are:" << std::endl;
- for (unsigned int i = 0; i < vnl_math_min(numEigVal, (unsigned int) NUMLARGESTPC); i++)
+ for (unsigned int i = 0; i < vnl_math_min(numEigVal, (unsigned int) NUMLARGESTPC); ++i)
{
std::cout << eigenValues[i] << std::endl;
}
@@ -183,7 +183,7 @@ int otbImagePCAShapeModelEstimatorTest(int argc, char* argv[])
}
std::cout << " " << std::endl;
//Print the largest two eigen vectors
- for (unsigned int j=1; j< NUMLARGESTPC + 1; j++ )
+ for (unsigned int j=1; j< NUMLARGESTPC + 1; ++j )
{
OutputImageType::Pointer outImage2 = applyPCAShapeEstimator->GetOutput( j );
OutputImageIterator outImage2It( outImage2, outImage2->GetBufferedRegion() );
diff --git a/Testing/Code/BasicFilters/otbInnerProductPCAImageFilter.cxx b/Testing/Code/BasicFilters/otbInnerProductPCAImageFilter.cxx
index 043f60bfca82add7390a88c6819b91238e00a53e..90f3efcd167dbfb3be260df5f8518d7714212d3d 100644
--- a/Testing/Code/BasicFilters/otbInnerProductPCAImageFilter.cxx
+++ b/Testing/Code/BasicFilters/otbInnerProductPCAImageFilter.cxx
@@ -60,7 +60,7 @@ int otbInnerProductPCAImageFilter(int argc, char* argv[])
unsigned int nbComponents = numberOfPrincipalComponentsRequired;
if (generateMeanComponent == true) nbComponents += 1;
- for (unsigned int cpt = 0; cpt < nbComponents; cpt++)
+ for (unsigned int cpt = 0; cpt < nbComponents; ++cpt)
{
ExtractROIFilterType::Pointer extractROIFilter = ExtractROIFilterType::New();
WriterType2::Pointer writer2 = WriterType2::New();
diff --git a/Testing/Code/BasicFilters/otbMatrixImageFilterTest.cxx b/Testing/Code/BasicFilters/otbMatrixImageFilterTest.cxx
index fb647f2c42e32a49c37138f6e607eb88a0c3ba58..71276dd7318d227006b9ca96dd4c00a2e494d39b 100644
--- a/Testing/Code/BasicFilters/otbMatrixImageFilterTest.cxx
+++ b/Testing/Code/BasicFilters/otbMatrixImageFilterTest.cxx
@@ -64,9 +64,9 @@ int otbMatrixImageFilterTest(int argc, char * argv[])
FilterType::MatrixType mat(reader->GetOutput()->GetNumberOfComponentsPerPixel(), nbCol, 0.);
double val = 0;
- for(unsigned int i=0; i<mat.rows(); i++)
+ for(unsigned int i=0; i<mat.rows(); ++i)
{
- for(unsigned int j=0; j<mat.cols(); j++)
+ for(unsigned int j=0; j<mat.cols(); ++j)
{
mat[i][j] = val;
val += 0.5;
diff --git a/Testing/Code/BasicFilters/otbVectorImageToMatrixImageFilter.cxx b/Testing/Code/BasicFilters/otbVectorImageToMatrixImageFilter.cxx
index 843ee5ef3eb971e27f9e8529b5356d81064b231c..6010eee1e240204b33873d5b397b6628404cc835 100644
--- a/Testing/Code/BasicFilters/otbVectorImageToMatrixImageFilter.cxx
+++ b/Testing/Code/BasicFilters/otbVectorImageToMatrixImageFilter.cxx
@@ -74,12 +74,12 @@ int otbVectorImageToMatrixTest(int argc, char * argv[])
std::cout << m << std::endl;
- for (unsigned int j = 0; j < m.cols(); j++)
+ for (unsigned int j = 0; j < m.cols(); ++j)
{
unsigned int x = j % Size;
unsigned int y = j / Size;
- for (unsigned int i = 0; i < m.rows(); i++)
+ for (unsigned int i = 0; i < m.rows(); ++i)
{
if ( m(i, j) != x + y * Size + i )
{
diff --git a/Testing/Code/Common/otbDrawLineSpatialObjectList.cxx b/Testing/Code/Common/otbDrawLineSpatialObjectList.cxx
index 3bd508a27b2ac28863d71671a73d4ac98b1336a4..560865d8bc77b1a9b6d1c0b734f0ad091fec7d3c 100644
--- a/Testing/Code/Common/otbDrawLineSpatialObjectList.cxx
+++ b/Testing/Code/Common/otbDrawLineSpatialObjectList.cxx
@@ -124,7 +124,7 @@ int otbDrawLineSpatialObjectList(int argc, char* argv[])
/* LinesListType::const_iterator it;
std::cout<<list.size()<<std::endl;
- for (it=list.begin(); it!=list.end(); it++)
+ for (it=list.begin(); it!=list.end(); ++it)
std::cout<< (*it) <<std::endl; */
filter->SetInputLineSpatialObjectList(list);
diff --git a/Testing/Code/Common/otbDrawPathFilter.cxx b/Testing/Code/Common/otbDrawPathFilter.cxx
index ba97b33e99d250d100d55dd57d63e786e8f99b5c..9c30a19db5d68f0f05505375b7cce08b117c2f76 100644
--- a/Testing/Code/Common/otbDrawPathFilter.cxx
+++ b/Testing/Code/Common/otbDrawPathFilter.cxx
@@ -57,7 +57,7 @@ int otbDrawPathFilter(int argc, char * argv[])
PathType::Pointer path = PathType::New();
- for (unsigned int i = 1; i < nbpoints; i++)
+ for (unsigned int i = 1; i < nbpoints; ++i)
{
VertexType vertex1, vertex2;
vertex1[0] = 0;
@@ -67,7 +67,7 @@ int otbDrawPathFilter(int argc, char * argv[])
path->AddVertex(vertex1);
path->AddVertex(vertex2);
}
- for (unsigned int i = 1; i < nbpoints; i++)
+ for (unsigned int i = 1; i < nbpoints; ++i)
{
VertexType vertex1, vertex2;
vertex1[0] = i * sizex / nbpoints;
diff --git a/Testing/Code/Common/otbDrawPathListFilter.cxx b/Testing/Code/Common/otbDrawPathListFilter.cxx
index 54b71ce536a7103731d80e0ccb619fdd89674fcb..07622e70be09c8617ffec7e500e380f8432c64b5 100644
--- a/Testing/Code/Common/otbDrawPathListFilter.cxx
+++ b/Testing/Code/Common/otbDrawPathListFilter.cxx
@@ -58,7 +58,7 @@ int otbDrawPathListFilter(int argc, char * argv[])
PathType::Pointer path1 = PathType::New();
- for (unsigned int i = 1; i < nbpoints; i++)
+ for (unsigned int i = 1; i < nbpoints; ++i)
{
VertexType vertex1, vertex2;
vertex1[0] = 0;
@@ -70,7 +70,7 @@ int otbDrawPathListFilter(int argc, char * argv[])
}
PathType::Pointer path2 = PathType::New();
- for (unsigned int i = 1; i < nbpoints; i++)
+ for (unsigned int i = 1; i < nbpoints; ++i)
{
VertexType vertex1, vertex2;
vertex1[0] = i * sizex / nbpoints;
diff --git a/Testing/Code/Common/otbDrawPathListFilterWithValue.cxx b/Testing/Code/Common/otbDrawPathListFilterWithValue.cxx
index dc16a4353e69d22bc8eaa4bae7dfcb2b515ecfb5..478f1cfe70e268a3dbf0e901d6c008b7ce73b821 100644
--- a/Testing/Code/Common/otbDrawPathListFilterWithValue.cxx
+++ b/Testing/Code/Common/otbDrawPathListFilterWithValue.cxx
@@ -58,7 +58,7 @@ int otbDrawPathListFilterWithValue(int argc, char * argv[])
PathType::Pointer path1 = PathType::New();
- for (unsigned int i = 1; i < nbpoints; i++)
+ for (unsigned int i = 1; i < nbpoints; ++i)
{
VertexType vertex1, vertex2;
vertex1[0] = 0;
@@ -70,7 +70,7 @@ int otbDrawPathListFilterWithValue(int argc, char * argv[])
}
PathType::Pointer path2 = PathType::New();
- for (unsigned int i = 1; i < nbpoints; i++)
+ for (unsigned int i = 1; i < nbpoints; ++i)
{
VertexType vertex1, vertex2;
vertex1[0] = i * sizex / nbpoints;
diff --git a/Testing/Code/Common/otbLineSpatialObjectList.cxx b/Testing/Code/Common/otbLineSpatialObjectList.cxx
index 2c4845cdf2d9b314e72dec70f4888bb86f641112..0bf6c1724c1892fcc2b0b6d9115eb74f1e475459 100644
--- a/Testing/Code/Common/otbLineSpatialObjectList.cxx
+++ b/Testing/Code/Common/otbLineSpatialObjectList.cxx
@@ -29,7 +29,7 @@ int otbLineSpatialObjectList(int argc, char * argv[])
typedef LineSpatialObjectListType::const_iterator LineSpatialObjectListConstIterator;
LineSpatialObjectListType::Pointer listLines = LineSpatialObjectListType::New();
- for (int i = 0; i < 10; i++)
+ for (int i = 0; i < 10; ++i)
{
LineSpatialObjecType::Pointer lLine = LineSpatialObjecType::New();
listLines->push_back(lLine);
diff --git a/Testing/Code/Common/otbMultiChannelExtractROI.cxx b/Testing/Code/Common/otbMultiChannelExtractROI.cxx
index fe320eeefa15aa849a6d5a406f986369cd3f1f71..d4b873549dd7589dd51b8e4af0c8ab4ee4c0c6dc 100644
--- a/Testing/Code/Common/otbMultiChannelExtractROI.cxx
+++ b/Testing/Code/Common/otbMultiChannelExtractROI.cxx
@@ -62,7 +62,7 @@ int generic_otbMultiChannelExtractROI(int argc, char * argv[], const char * inpu
}
else if (strArgv == "-channels")
{
- cpt++;
+ ++cpt;
bool searchChannels(true);
while (searchChannels == true)
{
@@ -81,7 +81,7 @@ int generic_otbMultiChannelExtractROI(int argc, char * argv[], const char * inpu
{
extractROIFilter->SetChannel((unsigned int) ::atoi(argv[cpt]));
std::cout << " ->SetChannel(" << ::atoi(argv[cpt]) << ")" << std::endl;
- cpt++;
+ ++cpt;
nbcanaux++;
}
}
@@ -97,7 +97,7 @@ int generic_otbMultiChannelExtractROI(int argc, char * argv[], const char * inpu
std::cout << " Canaux selectionnes (" << extractROIFilter->GetNbChannels() << ") : ";
typename ExtractROIFilterType::ChannelsType lChannels;
lChannels = extractROIFilter->GetChannels();
- for (unsigned int i = 0; i < lChannels.size(); i++)
+ for (unsigned int i = 0; i < lChannels.size(); ++i)
{
std::cout << lChannels[i] << " ";
}
@@ -137,28 +137,28 @@ int otbMultiChannelExtractROI(int argc, char * argv[])
if (argv[cpt][0] == '-')
{
linputPixelType = std::string(argv[cpt]);
- cpt++;
+ ++cpt;
inputFilename = argv[cpt];
- cpt++;
+ ++cpt;
}
else
{
linputPixelType = std::string("-uchar");
inputFilename = argv[cpt];
- cpt++;
+ ++cpt;
}
if (argv[cpt][0] == '-')
{
loutputPixelType = std::string(argv[cpt]);
- cpt++;
+ ++cpt;
outputFilename = argv[cpt];
- cpt++;
+ ++cpt;
}
else
{
loutputPixelType = std::string("-uchar");
outputFilename = argv[cpt];
- cpt++;
+ ++cpt;
}
argc -= cpt;
diff --git a/Testing/Code/Common/otbMultiToMonoChannelExtractROI.cxx b/Testing/Code/Common/otbMultiToMonoChannelExtractROI.cxx
index a0366f20193a37a49f716da69b8c2c067bea7523..d8b5934807d45ab85b5c7f69293a9c613345bb79 100644
--- a/Testing/Code/Common/otbMultiToMonoChannelExtractROI.cxx
+++ b/Testing/Code/Common/otbMultiToMonoChannelExtractROI.cxx
@@ -109,28 +109,28 @@ int otbMultiToMonoChannelExtractROI(int argc, char * argv[])
if (argv[cpt][0] == '-')
{
linputPixelType = std::string(argv[cpt]);
- cpt++;
+ ++cpt;
inputFilename = argv[cpt];
- cpt++;
+ ++cpt;
}
else
{
linputPixelType = std::string("-uchar");
inputFilename = argv[cpt];
- cpt++;
+ ++cpt;
}
if (argv[cpt][0] == '-')
{
loutputPixelType = std::string(argv[cpt]);
- cpt++;
+ ++cpt;
outputFilename = argv[cpt];
- cpt++;
+ ++cpt;
}
else
{
loutputPixelType = std::string("-uchar");
outputFilename = argv[cpt];
- cpt++;
+ ++cpt;
}
argc -= cpt;
diff --git a/Testing/Code/Common/otbPathListToHistogramGenerator.cxx b/Testing/Code/Common/otbPathListToHistogramGenerator.cxx
index dd65efc18f0c5672762662445ed4a62e7d61b401..7848611241379156be2d4a741b5c265af0d391bf 100644
--- a/Testing/Code/Common/otbPathListToHistogramGenerator.cxx
+++ b/Testing/Code/Common/otbPathListToHistogramGenerator.cxx
@@ -44,7 +44,7 @@ int otbPathListToHistogramGenerator(int argc, char* argv[])
PathListType* PathList = new PathListType;
PathList->clear();
- for (int i = 0; i < NbAngle; i++)
+ for (int i = 0; i < NbAngle; ++i)
{
PathPointer pathElt = PathType::New();
pathElt->Initialize();
diff --git a/Testing/Code/Common/otbPolyLineImageConstIterator.cxx b/Testing/Code/Common/otbPolyLineImageConstIterator.cxx
index 70e993e2ccad7a4cb2611b39bbf08ede2e8f4baa..1f16f44eb3d3cd4d0c1be36459b320d607ac1684 100644
--- a/Testing/Code/Common/otbPolyLineImageConstIterator.cxx
+++ b/Testing/Code/Common/otbPolyLineImageConstIterator.cxx
@@ -58,7 +58,7 @@ int otbPolyLineImageConstIterator(int argc, char * argv[])
PathType::Pointer path = PathType::New();
- for (unsigned int i = 1; i < nbpoints; i++)
+ for (unsigned int i = 1; i < nbpoints; ++i)
{
VertexType vertex1, vertex2;
vertex1[0] = 0;
@@ -68,7 +68,7 @@ int otbPolyLineImageConstIterator(int argc, char * argv[])
path->AddVertex(vertex1);
path->AddVertex(vertex2);
}
- for (unsigned int i = 1; i < nbpoints; i++)
+ for (unsigned int i = 1; i < nbpoints; ++i)
{
VertexType vertex1, vertex2;
vertex1[0] = i * sizex / nbpoints;
diff --git a/Testing/Code/Common/otbPolyLineImageIterator.cxx b/Testing/Code/Common/otbPolyLineImageIterator.cxx
index 124abb4845aae28654b588f652674143d9e6e519..dfc29d5179b7e6cd022e8949e95239f8b2fc1629 100644
--- a/Testing/Code/Common/otbPolyLineImageIterator.cxx
+++ b/Testing/Code/Common/otbPolyLineImageIterator.cxx
@@ -57,7 +57,7 @@ int otbPolyLineImageIterator(int argc, char * argv[])
PathType::Pointer path = PathType::New();
- for (unsigned int i = 1; i < nbpoints; i++)
+ for (unsigned int i = 1; i < nbpoints; ++i)
{
VertexType vertex1, vertex2;
vertex1[0] = 0;
@@ -67,7 +67,7 @@ int otbPolyLineImageIterator(int argc, char * argv[])
path->AddVertex(vertex1);
path->AddVertex(vertex2);
}
- for (unsigned int i = 1; i < nbpoints; i++)
+ for (unsigned int i = 1; i < nbpoints; ++i)
{
VertexType vertex1, vertex2;
vertex1[0] = i * sizex / nbpoints;
diff --git a/Testing/Code/Common/otbTestCommandLineArgumentParserList.cxx b/Testing/Code/Common/otbTestCommandLineArgumentParserList.cxx
index 8af0e62b1551a5ea467ab2938e2db39afecfbac1..45f916953cd77b510aa48a13aa9ac7d97aa002ee 100644
--- a/Testing/Code/Common/otbTestCommandLineArgumentParserList.cxx
+++ b/Testing/Code/Common/otbTestCommandLineArgumentParserList.cxx
@@ -53,7 +53,7 @@ int otbTestCommandLineArgumentParserList(int argc, char * argv[])
std::cout << "Double : " << lDouble << std::endl;
std::cout << "List de Double : " << parseResult->GetNumberOfParameters("-doubles") << std::endl;
- for (int i = 0; i < parseResult->GetNumberOfParameters("-doubles"); i++)
+ for (int i = 0; i < parseResult->GetNumberOfParameters("-doubles"); ++i)
{
//double value = otb::GetParameter<double>(parseResult,"-doubles", i);
double value = parseResult->GetParameterDouble("-doubles", i);
diff --git a/Testing/Code/FeatureExtraction/otbAlignImageToPath.cxx b/Testing/Code/FeatureExtraction/otbAlignImageToPath.cxx
index 4690934fe78fc94c146ad7608006296601574cf1..6767a3a50a2de1f4768ce4fe44b379c24cc91f3c 100644
--- a/Testing/Code/FeatureExtraction/otbAlignImageToPath.cxx
+++ b/Testing/Code/FeatureExtraction/otbAlignImageToPath.cxx
@@ -134,7 +134,7 @@ int otbAlignImageToPath(int argc, char * argv[])
int nbPath = sortiePath->Size();
otbGenericMsgDebugMacro(<< "NbSegment: " << nbPath);
fprintf(file, "Nb Segment: %d\n", nbPath);
- for (int i = 0; i < nbPath; i++)
+ for (int i = 0; i < nbPath; ++i)
{
vertexList = sortiePath->GetNthElement(i)->GetVertexList();
cindex = vertexList->GetElement(0);
diff --git a/Testing/Code/FeatureExtraction/otbBreakAngularPathListFilter.cxx b/Testing/Code/FeatureExtraction/otbBreakAngularPathListFilter.cxx
index d592d5e461525415e7604f19576ea6907682a7ef..5922070988d890d733eceebc4b88f9b30380a35f 100644
--- a/Testing/Code/FeatureExtraction/otbBreakAngularPathListFilter.cxx
+++ b/Testing/Code/FeatureExtraction/otbBreakAngularPathListFilter.cxx
@@ -40,9 +40,9 @@ int otbBreakAngularPathListFilter(int argc, char * argv[])
while (argv[cpt][0] != '|')
{
ListMaxAngle.push_back(static_cast<double>(::atof(argv[cpt])));
- cpt++;
+ ++cpt;
}
- cpt++;
+ ++cpt;
ListPoints.clear();
while (argv[cpt] != NULL)
@@ -60,7 +60,7 @@ int otbBreakAngularPathListFilter(int argc, char * argv[])
{
ListPoints.push_back(static_cast<double>(::atof(argv[cpt])));
}
- cpt++;
+ ++cpt;
}
MatricePoints.push_back(ListPoints);
diff --git a/Testing/Code/FeatureExtraction/otbComplexMomentsImageFunction.cxx b/Testing/Code/FeatureExtraction/otbComplexMomentsImageFunction.cxx
index 444db225aa0d0a21d74476e3098a6af5e2a1899b..10b0851a103ec070adb13c2305d4300178e8f812 100644
--- a/Testing/Code/FeatureExtraction/otbComplexMomentsImageFunction.cxx
+++ b/Testing/Code/FeatureExtraction/otbComplexMomentsImageFunction.cxx
@@ -84,9 +84,9 @@ int otbComplexMomentsImageFunction(int argc, char * argv[])
function->SetNeighborhoodRadius(3);
Result = function->EvaluateAtIndex(index);
- for (unsigned int k=0; k<=p; k++)
+ for (unsigned int k=0; k<=p; ++k)
{
- for (unsigned int l=0; l<=q; l++)
+ for (unsigned int l=0; l<=q; ++l)
{
outputStream << "ComplexMoment c(" << k << l << ") : " << Result.at(k).at(l) << std::endl;
}
@@ -159,9 +159,9 @@ int otbComplexMomentsImageFunctionScaleInvariant(int argc, char * argv[])
error = 0.0;
- for (unsigned int k=0; k<=p; k++)
+ for (unsigned int k=0; k<=p; ++k)
{
- for (unsigned int l=0; l<=q; l++)
+ for (unsigned int l=0; l<=q; ++l)
{
error += vcl_pow(vcl_abs( Result1.at(k).at(l) - Result2.at(k).at(l) ), 2);
diff --git a/Testing/Code/FeatureExtraction/otbFlusserMomentsImageFunction.cxx b/Testing/Code/FeatureExtraction/otbFlusserMomentsImageFunction.cxx
index fcf226105a80c42588b1fd53788a9005b058a739..ac92a1fd30d8c9472120ad23f96c7448890faa12 100644
--- a/Testing/Code/FeatureExtraction/otbFlusserMomentsImageFunction.cxx
+++ b/Testing/Code/FeatureExtraction/otbFlusserMomentsImageFunction.cxx
@@ -80,7 +80,7 @@ int otbFlusserMomentsImageFunction(int argc, char * argv[])
std::ofstream outputStream(outputFilename);
outputStream << std::setprecision(10) << "Flusser Image moments: [10]" << std::endl;
- for (unsigned int j = 1; j < 12; j++)
+ for (unsigned int j = 1; j < 12; ++j)
{
outputStream << "Flusser(" << j << ") = " << Result[j-1] << std::endl;
}
@@ -144,7 +144,7 @@ int otbFlusserMomentsImageFunctionScaleInvariant(int argc, char * argv[])
double error = 0.0;
- for (unsigned int j = 1; j < 12; j++)
+ for (unsigned int j = 1; j < 12; ++j)
{
error += vcl_pow(vcl_abs( Result1[j-1] - Result2[j-1]), 2);
@@ -250,7 +250,7 @@ int otbFlusserMomentsImageFunctionRotationInvariant(int argc, char * argv[])
double error = 0.0;
- for (unsigned int j = 1; j < 12; j++)
+ for (unsigned int j = 1; j < 12; ++j)
{
error += vcl_pow(vcl_abs( Result1[j-1] - Result2[j-1]), 2);
diff --git a/Testing/Code/FeatureExtraction/otbFourierMellinDescriptors.cxx b/Testing/Code/FeatureExtraction/otbFourierMellinDescriptors.cxx
index 92603c21c5f8f2f60426f285243b5de49cb837ce..6a57b6fe9d2497739689dfad1a392a4685a027c4 100644
--- a/Testing/Code/FeatureExtraction/otbFourierMellinDescriptors.cxx
+++ b/Testing/Code/FeatureExtraction/otbFourierMellinDescriptors.cxx
@@ -80,9 +80,9 @@ int otbFourierMellinDescriptors(int argc, char * argv[])
std::ofstream outputStream(outputFilename);
outputStream << std::setprecision(10);
- for (unsigned int k=0; k<=p; k++)
+ for (unsigned int k=0; k<=p; ++k)
{
- for (unsigned int l=0; l<=q; l++)
+ for (unsigned int l=0; l<=q; ++l)
{
outputStream << "FMDescriptor |M(" << k << l << ")| : " << Result.at(k).at(l) << std::endl;
}
@@ -152,9 +152,9 @@ int otbFourierMellinDescriptorsScaleInvariant(int argc, char * argv[])
double error = 0.0;
- for (unsigned int k=0; k<=p; k++)
+ for (unsigned int k=0; k<=p; ++k)
{
- for (unsigned int l=0; l<=q; l++)
+ for (unsigned int l=0; l<=q; ++l)
{
error += vcl_pow(vcl_abs( Result1.at(k).at(l) - Result2.at(k).at(l) ), 2);
@@ -266,9 +266,9 @@ int otbFourierMellinDescriptorsRotationInvariant(int argc, char * argv[])
double error = 0.0;
- for (unsigned int k=0; k<=p; k++)
+ for (unsigned int k=0; k<=p; ++k)
{
- for (unsigned int l=0; l<=q; l++)
+ for (unsigned int l=0; l<=q; ++l)
{
error += vcl_pow(vcl_abs( Result1.at(k).at(l) - Result2.at(k).at(l) ), 2);
diff --git a/Testing/Code/FeatureExtraction/otbHarrisToPointSet.cxx b/Testing/Code/FeatureExtraction/otbHarrisToPointSet.cxx
index 203196b134c5961c23e3b04db8280f2735086ff1..2ab4745c039c7026733ac6ce6e227f450e85aa3e 100644
--- a/Testing/Code/FeatureExtraction/otbHarrisToPointSet.cxx
+++ b/Testing/Code/FeatureExtraction/otbHarrisToPointSet.cxx
@@ -74,7 +74,7 @@ int otbHarrisToPointSet(int argc, char * argv[])
unsigned long NbPoints = pointList->GetNumberOfPoints();
file << "NbPoints : " << NbPoints << std::endl;
- for (unsigned long i = 0; i < NbPoints; i++)
+ for (unsigned long i = 0; i < NbPoints; ++i)
{
pointList->GetPoint(i, &CoordPoint);
file << i + 1 << " / " << NbPoints << " : ";
diff --git a/Testing/Code/FeatureExtraction/otbHuMomentsImageFunction.cxx b/Testing/Code/FeatureExtraction/otbHuMomentsImageFunction.cxx
index fa1feb20a6d867518cbe3c2a7de868de6562ee5b..1ca8b4af6d8188381a54425aa8d435a12fb81685 100644
--- a/Testing/Code/FeatureExtraction/otbHuMomentsImageFunction.cxx
+++ b/Testing/Code/FeatureExtraction/otbHuMomentsImageFunction.cxx
@@ -77,7 +77,7 @@ int otbHuMomentsImageFunction(int argc, char * argv[])
std::ofstream outputStream(outputFilename);
outputStream << std::setprecision(10) << "Hu Image moments: [10]" << std::endl;
- for (unsigned int j = 1; j < 8; j++)
+ for (unsigned int j = 1; j < 8; ++j)
{
outputStream << "Hu(" << j << ") = " << Result[j-1] << std::endl;
}
@@ -141,7 +141,7 @@ int otbHuMomentsImageFunctionScaleInvariant(int argc, char * argv[])
double error = 0.0;
- for (unsigned int j = 1; j < 8; j++)
+ for (unsigned int j = 1; j < 8; ++j)
{
error += vcl_pow(vcl_abs( Result1[j-1] - Result2[j-1]), 2);
@@ -247,7 +247,7 @@ int otbHuMomentsImageFunctionRotationInvariant(int argc, char * argv[])
double error = 0.0;
- for (unsigned int j = 1; j < 8; j++)
+ for (unsigned int j = 1; j < 8; ++j)
{
error += vcl_pow(vcl_abs( Result1[j-1] - Result2[j-1]), 2);
diff --git a/Testing/Code/FeatureExtraction/otbImageFunctionAdaptor.cxx b/Testing/Code/FeatureExtraction/otbImageFunctionAdaptor.cxx
index 34d08f81bf2d0b968ef82370d779eac37c70864b..fb87b9e52d07a4b9d57e5c0d52407b6559763750 100644
--- a/Testing/Code/FeatureExtraction/otbImageFunctionAdaptor.cxx
+++ b/Testing/Code/FeatureExtraction/otbImageFunctionAdaptor.cxx
@@ -152,9 +152,9 @@ int otbImageFunctionAdaptor(int argc, char * argv[])
FMDImageFunctionAdaptorType::OutputType resultAdaptedFMD = FMDadaptedFunction->EvaluateAtIndex(index);
rsltIdx = 0;
- for (unsigned int i = 0; i <= 5; i++)
+ for (unsigned int i = 0; i <= 5; ++i)
{
- for (unsigned int j = 0; j <= 5; j++)
+ for (unsigned int j = 0; j <= 5; ++j)
{
error += vcl_pow(vcl_abs(resultAdaptedFMD[rsltIdx] - resultFMD.at(i).at(j)), 2);
@@ -188,9 +188,9 @@ int otbImageFunctionAdaptor(int argc, char * argv[])
RMImageFunctionAdaptorType::OutputType resultAdaptedRM = RMadaptedFunction->EvaluateAtIndex(index);
rsltIdx = 0;
- for (unsigned int i = 0; i <= 5; i++)
+ for (unsigned int i = 0; i <= 5; ++i)
{
- for (unsigned int j = 0; j <= 5; j++)
+ for (unsigned int j = 0; j <= 5; ++j)
{
error += vcl_pow(vcl_abs(resultAdaptedRM[rsltIdx] - resultRM.at(i).at(j)), 2);
@@ -223,9 +223,9 @@ int otbImageFunctionAdaptor(int argc, char * argv[])
CMImageFunctionAdaptorType::OutputType resultAdaptedCM = CMadaptedFunction->EvaluateAtIndex(index);
rsltIdx = 0;
- for (unsigned int i = 0; i <= 5; i++)
+ for (unsigned int i = 0; i <= 5; ++i)
{
- for (unsigned int j = 0; j <= 5; j++)
+ for (unsigned int j = 0; j <= 5; ++j)
{
error += vcl_pow(vcl_abs(resultAdaptedCM[rsltIdx] - resultCM.at(i).at(j).real()), 2);
std::cout << "resultAdaptedCM : (" << resultAdaptedCM[rsltIdx] << "," << resultAdaptedCM[rsltIdx + 1] << ")"
@@ -255,7 +255,7 @@ int otbImageFunctionAdaptor(int argc, char * argv[])
FMImageFunctionAdaptorType::OutputType resultAdaptedFM = FMadaptedFunction->EvaluateAtIndex(index);
rsltIdx = 0;
- for (unsigned int i = 0; i < 11; i++)
+ for (unsigned int i = 0; i < 11; ++i)
{
error += vcl_pow(vcl_abs(resultAdaptedFM[rsltIdx] - resultFM[i]), 2);
@@ -282,7 +282,7 @@ int otbImageFunctionAdaptor(int argc, char * argv[])
HMImageFunctionAdaptorType::OutputType resultAdaptedHM = HMadaptedFunction->EvaluateAtIndex(index);
rsltIdx = 0;
- for (unsigned int i = 0; i < 7; i++)
+ for (unsigned int i = 0; i < 7; ++i)
{
error += vcl_pow(vcl_abs(resultAdaptedHM[rsltIdx] - resultHM[i]), 2);
@@ -309,7 +309,7 @@ int otbImageFunctionAdaptor(int argc, char * argv[])
RaMImageFunctionAdaptorType::OutputType resultAdaptedRaM = RaMadaptedFunction->EvaluateAtIndex(index);
rsltIdx = 0;
- for (unsigned int i = 0; i < 4; i++)
+ for (unsigned int i = 0; i < 4; ++i)
{
error += vcl_pow(vcl_abs(resultAdaptedRaM[rsltIdx] - resultRaM[i]), 2);
@@ -343,7 +343,7 @@ int otbImageFunctionAdaptor(int argc, char * argv[])
LHImageFunctionAdaptorType::OutputType resultAdaptedLH = LHadaptedFunction->EvaluateAtIndex(index);
rsltIdx = 0;
- for (unsigned int i = 0; i < 64; i++)
+ for (unsigned int i = 0; i < 64; ++i)
{
error += vcl_pow(vcl_abs(resultAdaptedLH[rsltIdx] - resultLH->GetFrequency(i)), 2);
@@ -386,9 +386,9 @@ int otbImageFunctionAdaptor(int argc, char * argv[])
FMDImageFunctionAdaptorType::OutputType myResult = myAdaptedFunction->EvaluateAtIndex(index);
rsltIdx = 0;
- for (unsigned int i = 0; i <= 2; i++)
+ for (unsigned int i = 0; i <= 2; ++i)
{
- for (unsigned int j = 0; j <= 2; j++)
+ for (unsigned int j = 0; j <= 2; ++j)
{
std::cout << "myResult: " << myResult[rsltIdx] << std::endl;
rsltIdx++;
diff --git a/Testing/Code/FeatureExtraction/otbImageToEdgePathFilter.cxx b/Testing/Code/FeatureExtraction/otbImageToEdgePathFilter.cxx
index ab0dd27a07abc3d690ce5142f2ba740b441e0ca6..7e9980a2739ffeb78a0b81828fd8a59d0e43b20a 100644
--- a/Testing/Code/FeatureExtraction/otbImageToEdgePathFilter.cxx
+++ b/Testing/Code/FeatureExtraction/otbImageToEdgePathFilter.cxx
@@ -76,7 +76,7 @@ int otbImageToEdgePathFilter(int argc, char * argv[])
// Create one iterator for the Input Image (this is a light object)
IteratorType it(outputImage, outputImage->GetBufferedRegion());
- for (unsigned int cpt = 0; cpt < ptrVertexList->Size(); cpt++)
+ for (unsigned int cpt = 0; cpt < ptrVertexList->Size(); ++cpt)
{
std::cout << " Point " << cpt << " : " << ptrVertexList->GetElement(cpt) << std::endl;
IndexType pos;
diff --git a/Testing/Code/FeatureExtraction/otbLikelihoodPathListFilter.cxx b/Testing/Code/FeatureExtraction/otbLikelihoodPathListFilter.cxx
index 5622c8d90ec1dec72391d8b644fd63c3586ba66d..6396f3007a504158d1d022d980660bfdd2bda551 100644
--- a/Testing/Code/FeatureExtraction/otbLikelihoodPathListFilter.cxx
+++ b/Testing/Code/FeatureExtraction/otbLikelihoodPathListFilter.cxx
@@ -54,7 +54,7 @@ int otbLikelihoodPathListFilter(int argc, char * argv[])
{
ListPoints.push_back(static_cast<double>(::atof(argv[cpt])));
}
- cpt++;
+ ++cpt;
}
MatricePoints.push_back(ListPoints);
diff --git a/Testing/Code/FeatureExtraction/otbLineSpatialObjectListToRightAnglePointSetFilter.cxx b/Testing/Code/FeatureExtraction/otbLineSpatialObjectListToRightAnglePointSetFilter.cxx
index cb63d904a3a9273ef0b2c96af6a3dc548df9914a..8900379811cafc5b74ab2cd4a69f857af1760728 100644
--- a/Testing/Code/FeatureExtraction/otbLineSpatialObjectListToRightAnglePointSetFilter.cxx
+++ b/Testing/Code/FeatureExtraction/otbLineSpatialObjectListToRightAnglePointSetFilter.cxx
@@ -128,7 +128,7 @@ int otbLineSpatialObjectListToRightAnglePointSetFilter(int argc, char * argv[])
segmentOrtho = rightAngleFilter->GetOutput();
PointSetType::PointType pRight;
- for (unsigned int i = 0; i < segmentOrtho->GetNumberOfPoints(); i++)
+ for (unsigned int i = 0; i < segmentOrtho->GetNumberOfPoints(); ++i)
{
segmentOrtho->GetPoint(i, &pRight);
outfile << " Right Angle found in point : " << pRight << std::endl;
diff --git a/Testing/Code/FeatureExtraction/otbLineSpatialObjectListToRightAnglePointSetFilterByStepsOutputAscii.cxx b/Testing/Code/FeatureExtraction/otbLineSpatialObjectListToRightAnglePointSetFilterByStepsOutputAscii.cxx
index f540fc5a815adfb1313b68ba9354ed45084c5106..54903f226fd8eb0765da303abc2d9bf3fca951bf 100644
--- a/Testing/Code/FeatureExtraction/otbLineSpatialObjectListToRightAnglePointSetFilterByStepsOutputAscii.cxx
+++ b/Testing/Code/FeatureExtraction/otbLineSpatialObjectListToRightAnglePointSetFilterByStepsOutputAscii.cxx
@@ -132,7 +132,7 @@ int otbLineSpatialObjectListToRightAnglePointSetFilterByStepsOutputAscii(int arg
std::ofstream outfile(outfname);
outfile << "Number of right angles detected " << rightAngleFilter->GetOutput()->GetNumberOfPoints() << std::endl;
- for (unsigned int i = 0; i < segmentOrtho->GetNumberOfPoints(); i++)
+ for (unsigned int i = 0; i < segmentOrtho->GetNumberOfPoints(); ++i)
{
segmentOrtho->GetPoint(i, &pRight);
outfile << " Right Angle found in point : " << pRight << std::endl;
diff --git a/Testing/Code/FeatureExtraction/otbLinkPathListFilter.cxx b/Testing/Code/FeatureExtraction/otbLinkPathListFilter.cxx
index e8a7f11c9b1bf37254bf61ce42a70c086a6c5697..c43ca29de99cdd92d3819f1d51007549e1d03f90 100644
--- a/Testing/Code/FeatureExtraction/otbLinkPathListFilter.cxx
+++ b/Testing/Code/FeatureExtraction/otbLinkPathListFilter.cxx
@@ -55,7 +55,7 @@ int otbLinkPathListFilter(int argc, char * argv[])
{
ListPoints.push_back(static_cast<double>(::atof(argv[cpt])));
}
- cpt++;
+ ++cpt;
}
MatricePoints.push_back(ListPoints);
diff --git a/Testing/Code/FeatureExtraction/otbRadiometricMomentsImageFunction.cxx b/Testing/Code/FeatureExtraction/otbRadiometricMomentsImageFunction.cxx
index bc635ca35c5bdf4ae4a14bc364afd99df19be8a8..7e88d7cfa62a8197f1fd3fa8046e4ddd4b24a706 100644
--- a/Testing/Code/FeatureExtraction/otbRadiometricMomentsImageFunction.cxx
+++ b/Testing/Code/FeatureExtraction/otbRadiometricMomentsImageFunction.cxx
@@ -75,7 +75,7 @@ int otbRadiometricMomentsImageFunction(int argc, char * argv[])
std::ofstream outputStream(outputFilename);
outputStream << std::setprecision(10) << "Radiometric moments: [10]" << std::endl;
- for (unsigned int j = 1; j < 5; j++)
+ for (unsigned int j = 1; j < 5; ++j)
{
outputStream << "Radiometric Moment(" << j << ") = " << Result[j-1] << std::endl;
}
diff --git a/Testing/Code/FeatureExtraction/otbRealMomentsImageFunction.cxx b/Testing/Code/FeatureExtraction/otbRealMomentsImageFunction.cxx
index 6d658d9adbe996af0d28542171de717c132c86a1..35ea155e5fbf873aa754793d79c2cedbea0ae0db 100644
--- a/Testing/Code/FeatureExtraction/otbRealMomentsImageFunction.cxx
+++ b/Testing/Code/FeatureExtraction/otbRealMomentsImageFunction.cxx
@@ -81,9 +81,9 @@ int otbRealMomentsImageFunction(int argc, char * argv[])
function->SetNeighborhoodRadius(3);
Result = function->EvaluateAtIndex(index);
- for (unsigned int k=0; k<=p; k++)
+ for (unsigned int k=0; k<=p; ++k)
{
- for (unsigned int l=0; l<=q; l++)
+ for (unsigned int l=0; l<=q; ++l)
{
outputStream << "RealMoment c(" << k << l << ") : " << Result.at(k).at(l) << std::endl;
}
diff --git a/Testing/Code/FeatureExtraction/otbRemoveTortuousPathListFilter.cxx b/Testing/Code/FeatureExtraction/otbRemoveTortuousPathListFilter.cxx
index b6ca9144bfe55846e78beb1803120683bb679785..53887382d3e112195610b3a5a4386a56ddafd52e 100644
--- a/Testing/Code/FeatureExtraction/otbRemoveTortuousPathListFilter.cxx
+++ b/Testing/Code/FeatureExtraction/otbRemoveTortuousPathListFilter.cxx
@@ -50,7 +50,7 @@ int otbRemoveTortuousPathListFilter(int argc, char * argv[])
{
ListPoints.push_back(static_cast<double>(::atof(argv[cpt])));
}
- cpt++;
+ ++cpt;
}
MatricePoints.push_back(ListPoints);
diff --git a/Testing/Code/FeatureExtraction/otbSimplePointCountStrategyTest.cxx b/Testing/Code/FeatureExtraction/otbSimplePointCountStrategyTest.cxx
index 5de46e41f48d404ffcaa070dde7eee654f3a4e62..e9eceb600e600ad9f67fced1527d19f116f133e3 100644
--- a/Testing/Code/FeatureExtraction/otbSimplePointCountStrategyTest.cxx
+++ b/Testing/Code/FeatureExtraction/otbSimplePointCountStrategyTest.cxx
@@ -44,7 +44,7 @@ int otbSimplePointCountStrategyTest(int argc, char * argv[])
Point[0] = 12.14;
Point[1] = 14.14;
- for (int i = 0; i < 10; i++)
+ for (int i = 0; i < 10; ++i)
{
pointset->SetPoint(count, Point);
count++;
diff --git a/Testing/Code/FeatureExtraction/otbSimplifyPathListFilter.cxx b/Testing/Code/FeatureExtraction/otbSimplifyPathListFilter.cxx
index 85b963dc800a2d815d832116aae3636b78e22014..f16f72a29fb327c9817749a6a58e2539634c5a09 100644
--- a/Testing/Code/FeatureExtraction/otbSimplifyPathListFilter.cxx
+++ b/Testing/Code/FeatureExtraction/otbSimplifyPathListFilter.cxx
@@ -50,7 +50,7 @@ int otbSimplifyPathListFilter(int argc, char * argv[])
{
ListPoints.push_back(static_cast<double>(::atof(argv[cpt])));
}
- cpt++;
+ ++cpt;
}
MatricePoints.push_back(ListPoints);
diff --git a/Testing/Code/FeatureExtraction/otbThresholdImageToPointSetTest.cxx b/Testing/Code/FeatureExtraction/otbThresholdImageToPointSetTest.cxx
index 4579de3c884437af0790a4369d307a296a592954..ca287f1d7b6c8f42f5708337d7ecddbc6b858ea8 100644
--- a/Testing/Code/FeatureExtraction/otbThresholdImageToPointSetTest.cxx
+++ b/Testing/Code/FeatureExtraction/otbThresholdImageToPointSetTest.cxx
@@ -66,7 +66,7 @@ int otbThresholdImageToPointSetTest(int argc, char * argv[])
//Initialization
CoordPoint.Fill(0);
- for (unsigned long i = 0; i < NbPoints; i++)
+ for (unsigned long i = 0; i < NbPoints; ++i)
{
pointList->GetPoint(i, &CoordPoint);
file << i + 1 << "/" << NbPoints << " : " << CoordPoint[0] << " , " << CoordPoint[1] << std::endl;
diff --git a/Testing/Code/Fuzzy/otbFuzzyVariableDSApplied.cxx b/Testing/Code/Fuzzy/otbFuzzyVariableDSApplied.cxx
index 3444e1c7dac57287cb7ba421cb0029baebaf9b33..1443ef8d54cc589639af1812ec5517b07a733689 100644
--- a/Testing/Code/Fuzzy/otbFuzzyVariableDSApplied.cxx
+++ b/Testing/Code/Fuzzy/otbFuzzyVariableDSApplied.cxx
@@ -38,7 +38,7 @@ int otbFuzzyVariableDSApplied(int argc, char* argv[])
PrecisionType memTheta;
- for(unsigned int i=0; i<=100; i++)
+ for(unsigned int i=0; i<=100; ++i)
{
pos = (PrecisionType)i/100;
maxVar = fv->GetMaxVar(pos);
diff --git a/Testing/Code/Fuzzy/otbJointMassOfBeliefFilter.cxx b/Testing/Code/Fuzzy/otbJointMassOfBeliefFilter.cxx
index f2fbce170069054b6cb7b386e9cf42475fc6a932..9bd6d42d26031ab5cb5c41787f7c0ad981a71bef 100644
--- a/Testing/Code/Fuzzy/otbJointMassOfBeliefFilter.cxx
+++ b/Testing/Code/Fuzzy/otbJointMassOfBeliefFilter.cxx
@@ -95,7 +95,7 @@ int otbJointMassOfBeliefFilter(int argc, char* argv[])
results.push_back(jointMass->GetBelief(hyp));
results.push_back(jointMass->GetPlausibility(hyp));
- for (unsigned int i=0; i<baseline.size(); i++)
+ for (unsigned int i=0; i<baseline.size(); ++i)
{
if (vcl_abs(baseline[i] - results[i]) >= .000001)
{
diff --git a/Testing/Code/Hyperspectral/otbSparseUnmixingImageFilter.cxx b/Testing/Code/Hyperspectral/otbSparseUnmixingImageFilter.cxx
index 228f02d9540470906104340932b9fec1a8649757..b6d22ecf07c5e2f3c3ff5e5de40ce6dc5fc8424e 100644
--- a/Testing/Code/Hyperspectral/otbSparseUnmixingImageFilter.cxx
+++ b/Testing/Code/Hyperspectral/otbSparseUnmixingImageFilter.cxx
@@ -104,7 +104,7 @@ int otbSparseUnmixingImageFilterTest ( int argc, char * argv[] )
std::vector< WriterType::Pointer > writers;
writers.resize( filter->GetNumberOfOutputs() );
- for ( unsigned int i = 0; i < filter->GetNumberOfOutputs(); i++ )
+ for ( unsigned int i = 0; i < filter->GetNumberOfOutputs(); ++i )
{
std::stringstream title;
title << outputImageName << "_" << i << ".hdr";
diff --git a/Testing/Code/IO/otbComplexImageManipulationTest.cxx b/Testing/Code/IO/otbComplexImageManipulationTest.cxx
index 23bc11757e9e1c63c5b28037bfcf509d46cf2cf2..b8b3e6b03dbf7ba24de3a65217d8ee52c9bc2709 100644
--- a/Testing/Code/IO/otbComplexImageManipulationTest.cxx
+++ b/Testing/Code/IO/otbComplexImageManipulationTest.cxx
@@ -55,7 +55,7 @@ template<class TInternalPixel>
bool IsEqual(itk::VariableLengthVector<TInternalPixel> output, itk::VariableLengthVector<TInternalPixel> expected)
{
bool result = true;
- for(unsigned int i = 0; i < output.Size(); i++)
+ for(unsigned int i = 0; i < output.Size(); ++i)
{
result = result && IsEqual(output[i], expected[i]);
}
diff --git a/Testing/Code/IO/otbGDALImageIOTestWriteMetadata.cxx b/Testing/Code/IO/otbGDALImageIOTestWriteMetadata.cxx
index 3690869d453dce36745c3507ae876ddcaf9b6354..31cf96a1d4d850e9a9f6d00b7551c67850281646 100644
--- a/Testing/Code/IO/otbGDALImageIOTestWriteMetadata.cxx
+++ b/Testing/Code/IO/otbGDALImageIOTestWriteMetadata.cxx
@@ -102,7 +102,7 @@ public:
os << "GCP Projection Ref: " << this->m_GCPProjRef <<std::endl;
os << "GCP count: " << this->m_GCPCount << std::endl;
- /* for (int it = 0; it<this->m_GCPCount; it++)
+ /* for (int it = 0; it<this->m_GCPCount; ++it)
{
os << " GCP Id = " << this->m_GCPs[it].pszId << std::endl;
os << " GCP Info = " << this->m_GCPs[it].pszInfo << std::endl;
@@ -549,7 +549,7 @@ bool writeReadDatasetMetadata(std::string filename, std::vector<std::string> opt
// Write data into dataset
GDALRasterBand *poBand;
GByte abyRaster[128*128];
- for (unsigned int it=0; it < 128*128; it++)
+ for (unsigned int it=0; it < 128*128; ++it)
{
abyRaster[it] = 0;
}
diff --git a/Testing/Code/IO/otbImageFileReaderMSTAR.cxx b/Testing/Code/IO/otbImageFileReaderMSTAR.cxx
index 2eb7a443379b3bae266df5383c20efde7caf53b9..8782ede2a644d0e2fae2c29ecce326a2798da98c 100644
--- a/Testing/Code/IO/otbImageFileReaderMSTAR.cxx
+++ b/Testing/Code/IO/otbImageFileReaderMSTAR.cxx
@@ -76,7 +76,7 @@ int otbImageFileReaderMSTAR(int argc, char* argv[])
const InternalImageType::PointType& inputOrigin = reader->GetOutput()->GetOrigin();
double outputOrigin[InputDimension];
- for (unsigned int i = 0; i < InputDimension; i++)
+ for (unsigned int i = 0; i < InputDimension; ++i)
{
outputOrigin[i] = inputOrigin[i] + spacing[i] * inputStart[i];
}
diff --git a/Testing/Code/IO/otbImageSeriesFileReader.cxx b/Testing/Code/IO/otbImageSeriesFileReader.cxx
index dc2435dc6cec36d19372e1abf8bfd0448003a773..7546c31a6d0ba4389a364d32e45a35a05fff73d4 100644
--- a/Testing/Code/IO/otbImageSeriesFileReader.cxx
+++ b/Testing/Code/IO/otbImageSeriesFileReader.cxx
@@ -46,7 +46,7 @@ int otbImageSeriesFileReader(int argc, char* argv[])
typedef otb::StreamingImageFileWriter<ImageType> WriterType;
- for (unsigned int i = 0; i < imageList->Size(); i++)
+ for (unsigned int i = 0; i < imageList->Size(); ++i)
{
std::cout << "Image no " << i << "\n";
diff --git a/Testing/Code/IO/otbImageTest.cxx b/Testing/Code/IO/otbImageTest.cxx
index 10382eac288a674bbcef54d7c7dffd993682c244..eb7cfb5675e9900a0f590d1ea079a3c76578d750 100644
--- a/Testing/Code/IO/otbImageTest.cxx
+++ b/Testing/Code/IO/otbImageTest.cxx
@@ -80,7 +80,7 @@ int otbImageTest(int argc, char* argv[])
InputImageType::VectorType tab = image->GetGeoTransform();
file << "Geo Transform " << std::endl;
- for (unsigned int i = 0; i < tab.size(); i++)
+ for (unsigned int i = 0; i < tab.size(); ++i)
{
file << " " << i << " -> " << tab[i] << std::endl;
}
@@ -88,28 +88,28 @@ int otbImageTest(int argc, char* argv[])
tab = image->GetUpperLeftCorner();
file << "Corners " << std::endl;
- for (unsigned int i = 0; i < tab.size(); i++)
+ for (unsigned int i = 0; i < tab.size(); ++i)
{
file << " UL[" << i << "] -> " << tab[i] << std::endl;
}
tab.clear();
tab = image->GetUpperRightCorner();
- for (unsigned int i = 0; i < tab.size(); i++)
+ for (unsigned int i = 0; i < tab.size(); ++i)
{
file << " UR[" << i << "] -> " << tab[i] << std::endl;
}
tab.clear();
tab = image->GetLowerLeftCorner();
- for (unsigned int i = 0; i < tab.size(); i++)
+ for (unsigned int i = 0; i < tab.size(); ++i)
{
file << " LL[" << i << "] -> " << tab[i] << std::endl;
}
tab.clear();
tab = image->GetLowerRightCorner();
- for (unsigned int i = 0; i < tab.size(); i++)
+ for (unsigned int i = 0; i < tab.size(); ++i)
{
file << " LR[" << i << "] -> " << tab[i] << std::endl;
}
diff --git a/Testing/Code/IO/otbScalarBufferToImageFileWriterTest.cxx b/Testing/Code/IO/otbScalarBufferToImageFileWriterTest.cxx
index f6d4736a6d2933ff5df20d35fa83139534a89207..7b4de7c34d6fa54fd9730bb3824b4337a9f96ab0 100644
--- a/Testing/Code/IO/otbScalarBufferToImageFileWriterTest.cxx
+++ b/Testing/Code/IO/otbScalarBufferToImageFileWriterTest.cxx
@@ -38,7 +38,7 @@ int otbScalarBufferToImageFileWriterTest(int argc, char* argv[])
{
for(unsigned int sy=0; sy<sizeY; sy++)
{
- for(unsigned int i=0; i<nbCh; i++)
+ for(unsigned int i=0; i<nbCh; ++i)
{
tab[cpt++] = val;
val++;
diff --git a/Testing/Code/IO/otbVectorImageFileWriterTestWithoutInput.cxx b/Testing/Code/IO/otbVectorImageFileWriterTestWithoutInput.cxx
index c2ad4a9098dda075e00b19e51ab3092286b6493a..ca53af2273c17f72f2302a7dae1d266f0eb66adf 100644
--- a/Testing/Code/IO/otbVectorImageFileWriterTestWithoutInput.cxx
+++ b/Testing/Code/IO/otbVectorImageFileWriterTestWithoutInput.cxx
@@ -73,7 +73,7 @@ int otbVectorImageFileWriterScalarTestWithoutInputGeneric(int argc, char* argv[]
ImagePixelType pix0;
pix0.SetSize(atoi(argv[3]));
- for (unsigned int i = 0; i < static_cast<unsigned int> (atoi(argv[3])); i++)
+ for (unsigned int i = 0; i < static_cast<unsigned int> (atoi(argv[3])); ++i)
{
pix0[i] = static_cast<PixelType> (0);
}
@@ -87,7 +87,7 @@ int otbVectorImageFileWriterScalarTestWithoutInputGeneric(int argc, char* argv[]
while (!it.IsAtEnd())
{
- for (unsigned int i = 0; i < static_cast<unsigned int> (atoi(argv[3])); i++)
+ for (unsigned int i = 0; i < static_cast<unsigned int> (atoi(argv[3])); ++i)
{
pixVal[i] = static_cast<PixelType> (i * size[0] * size[1] + size[0] * it.GetIndex()[1] + it.GetIndex()[0]);
}
@@ -167,7 +167,7 @@ int otbVectorImageFileWriterComplexTestWithoutInputGeneric(int argc, char* argv[
ImagePixelType pix0;
pix0.SetSize(atoi(argv[3]));
- for (unsigned int i = 0; i < static_cast<unsigned int> (atoi(argv[3])); i++)
+ for (unsigned int i = 0; i < static_cast<unsigned int> (atoi(argv[3])); ++i)
{
pix0[i] = static_cast<PixelType> (0);
}
@@ -182,7 +182,7 @@ int otbVectorImageFileWriterComplexTestWithoutInputGeneric(int argc, char* argv[
typedef typename itk::NumericTraits<PixelType>::ScalarRealType ScalarRealType;
while (!it.IsAtEnd())
{
- for (unsigned int i = 0; i < static_cast<unsigned int> (atoi(argv[3])); i++)
+ for (unsigned int i = 0; i < static_cast<unsigned int> (atoi(argv[3])); ++i)
{
ScalarRealType realPart = 2 * (i *size[0]*size[1] + size[0] * it.GetIndex()[1] + it.GetIndex()[0]);
ScalarRealType imagPart = 2 * (i *size[0]*size[1] + size[0] * it.GetIndex()[1] + it.GetIndex()[0]) + 1;
diff --git a/Testing/Code/IO/otbVectorImageStreamingFileWriterTestWithoutInput.cxx b/Testing/Code/IO/otbVectorImageStreamingFileWriterTestWithoutInput.cxx
index 0a6771b2644ad161470baecee7b49784e2bdab22..cef466a499a6d0cbae60ab7923b3066a4c01bcb1 100644
--- a/Testing/Code/IO/otbVectorImageStreamingFileWriterTestWithoutInput.cxx
+++ b/Testing/Code/IO/otbVectorImageStreamingFileWriterTestWithoutInput.cxx
@@ -73,7 +73,7 @@ int otbVectorImageStreamingFileWriterScalarTestWithoutInputGeneric(int argc, cha
ImagePixelType pix0;
pix0.SetSize(atoi(argv[3]));
- for (unsigned int i = 0; i < static_cast<unsigned int> (atoi(argv[3])); i++)
+ for (unsigned int i = 0; i < static_cast<unsigned int> (atoi(argv[3])); ++i)
{
pix0[i] = static_cast<PixelType> (0);
}
@@ -87,7 +87,7 @@ int otbVectorImageStreamingFileWriterScalarTestWithoutInputGeneric(int argc, cha
while (!it.IsAtEnd())
{
- for (unsigned int i = 0; i < static_cast<unsigned int> (atoi(argv[3])); i++)
+ for (unsigned int i = 0; i < static_cast<unsigned int> (atoi(argv[3])); ++i)
{
pixVal[i] = static_cast<PixelType> (i * size[0] * size[1] + size[0] * it.GetIndex()[1] + it.GetIndex()[0]);
}
@@ -167,7 +167,7 @@ int otbVectorImageStreamingFileWriterComplexTestWithoutInputGeneric(int argc, ch
ImagePixelType pix0;
pix0.SetSize(atoi(argv[3]));
- for (unsigned int i = 0; i < static_cast<unsigned int> (atoi(argv[3])); i++)
+ for (unsigned int i = 0; i < static_cast<unsigned int> (atoi(argv[3])); ++i)
{
pix0[i] = static_cast<PixelType> (0);
}
@@ -182,7 +182,7 @@ int otbVectorImageStreamingFileWriterComplexTestWithoutInputGeneric(int argc, ch
typedef typename itk::NumericTraits<PixelType>::ScalarRealType ScalarRealType;
while (!it.IsAtEnd())
{
- for (unsigned int i = 0; i < static_cast<unsigned int> (atoi(argv[3])); i++)
+ for (unsigned int i = 0; i < static_cast<unsigned int> (atoi(argv[3])); ++i)
{
ScalarRealType realPart = 2 * (i *size[0]*size[1] + size[0] * it.GetIndex()[1] + it.GetIndex()[0]);
ScalarRealType imagPart = 2 * (i *size[0]*size[1] + size[0] * it.GetIndex()[1] + it.GetIndex()[0]) + 1;
diff --git a/Testing/Code/IO/otbVectorImageTest.cxx b/Testing/Code/IO/otbVectorImageTest.cxx
index a2cc5b0ed08e2efc48b3f5639068a076105da529..7efae569ec23af38de4b146cca4a4bc07a18df88 100644
--- a/Testing/Code/IO/otbVectorImageTest.cxx
+++ b/Testing/Code/IO/otbVectorImageTest.cxx
@@ -82,7 +82,7 @@ int otbVectorImageLegacyTest(int argc, char* argv[])
InputImageType::VectorType tab = image->GetGeoTransform();
file << "Geo Transform " << std::endl;
- for (unsigned int i = 0; i < tab.size(); i++)
+ for (unsigned int i = 0; i < tab.size(); ++i)
{
file << " " << i << " -> " << tab[i] << std::endl;
}
@@ -90,28 +90,28 @@ int otbVectorImageLegacyTest(int argc, char* argv[])
tab = image->GetUpperLeftCorner();
file << "Corners " << std::endl;
- for (unsigned int i = 0; i < tab.size(); i++)
+ for (unsigned int i = 0; i < tab.size(); ++i)
{
file << " UL[" << i << "] -> " << tab[i] << std::endl;
}
tab.clear();
tab = image->GetUpperRightCorner();
- for (unsigned int i = 0; i < tab.size(); i++)
+ for (unsigned int i = 0; i < tab.size(); ++i)
{
file << " UR[" << i << "] -> " << tab[i] << std::endl;
}
tab.clear();
tab = image->GetLowerLeftCorner();
- for (unsigned int i = 0; i < tab.size(); i++)
+ for (unsigned int i = 0; i < tab.size(); ++i)
{
file << " LL[" << i << "] -> " << tab[i] << std::endl;
}
tab.clear();
tab = image->GetLowerRightCorner();
- for (unsigned int i = 0; i < tab.size(); i++)
+ for (unsigned int i = 0; i < tab.size(); ++i)
{
file << " LR[" << i << "] -> " << tab[i] << std::endl;
}
diff --git a/Testing/Code/Learning/otbConfusionMatrixCalculatorTest.cxx b/Testing/Code/Learning/otbConfusionMatrixCalculatorTest.cxx
index 09b922157ec262091bd9a59a16fa0d4c5daabd43..32426ae678e8f507f7880237b0ca81245bb2d386 100644
--- a/Testing/Code/Learning/otbConfusionMatrixCalculatorTest.cxx
+++ b/Testing/Code/Learning/otbConfusionMatrixCalculatorTest.cxx
@@ -60,7 +60,7 @@ int otbConfusionMatrixCalculatorSetListSamples(int argc, char* argv[])
int nbSamples = atoi(argv[1]);
int nbClasses = atoi(argv[2]);
- for (int i = 0; i < nbSamples; i++)
+ for (int i = 0; i < nbSamples; ++i)
{
int label = (i % nbClasses) + 1;
PLabelType plab;
@@ -100,7 +100,7 @@ int otbConfusionMatrixCalculatorWrongSize(int argc, char* argv[])
int nbSamples = atoi(argv[1]);
int nbClasses = atoi(argv[2]);
- for (int i = 0; i < nbSamples; i++)
+ for (int i = 0; i < nbSamples; ++i)
{
int label = (i % nbClasses) + 1;
PLabelType plab;
@@ -154,7 +154,7 @@ int otbConfusionMatrixCalculatorUpdate(int argc, char* argv[])
int nbSamples = atoi(argv[1]);
int nbClasses = atoi(argv[2]);
- for (int i = 0; i < nbSamples; i++)
+ for (int i = 0; i < nbSamples; ++i)
{
int label = (i % nbClasses) + 1;
PLabelType plab;
@@ -184,8 +184,8 @@ int otbConfusionMatrixCalculatorUpdate(int argc, char* argv[])
double totalError = 0.0;
- for (int i = 0; i < nbClasses; i++)
- for (int j = 0; j < nbClasses; j++)
+ for (int i = 0; i < nbClasses; ++i)
+ for (int j = 0; j < nbClasses; ++j)
{
double goodValue = 0.0;
if (i == j) goodValue = nbSamples / nbClasses;
diff --git a/Testing/Code/Learning/otbListSampleGeneratorTest.cxx b/Testing/Code/Learning/otbListSampleGeneratorTest.cxx
index 8f181b83d4ed0f584f28e43f8b983f7198b924ba..75ea81b8f18330ce342027c613c39866f21a7832 100644
--- a/Testing/Code/Learning/otbListSampleGeneratorTest.cxx
+++ b/Testing/Code/Learning/otbListSampleGeneratorTest.cxx
@@ -105,7 +105,7 @@ int otbListSampleGenerator(int argc, char* argv[])
while (sampleIt != samples->End())
{
trainingFile << labelIt.GetMeasurementVector()[0];
- for (unsigned int i = 0; i < sampleIt.GetMeasurementVector().Size(); i++)
+ for (unsigned int i = 0; i < sampleIt.GetMeasurementVector().Size(); ++i)
{
// Careful, the numbering is 1..N in libsvm
trainingFile << " " << i + 1 << ":" << sampleIt.GetMeasurementVector()[i];
@@ -134,7 +134,7 @@ int otbListSampleGenerator(int argc, char* argv[])
while (sampleIt != samples->End())
{
validationFile << labelIt.GetMeasurementVector()[0];
- for (unsigned int i = 0; i < sampleIt.GetMeasurementVector().Size(); i++)
+ for (unsigned int i = 0; i < sampleIt.GetMeasurementVector().Size(); ++i)
{
// Careful, the numbering is 1..N in libsvm
validationFile << " " << i + 1 << ":" << sampleIt.GetMeasurementVector()[i];
diff --git a/Testing/Code/Learning/otbSVMImageModelEstimatorModelAccessor.cxx b/Testing/Code/Learning/otbSVMImageModelEstimatorModelAccessor.cxx
index 5737b352a7d42a7cf3738985d30e77ca2842d6bd..ad40d0944184bae2621cef9ca86cd18a6019c63f 100644
--- a/Testing/Code/Learning/otbSVMImageModelEstimatorModelAccessor.cxx
+++ b/Testing/Code/Learning/otbSVMImageModelEstimatorModelAccessor.cxx
@@ -87,13 +87,13 @@ int otbSVMImageModelEstimatorModelAccessor(int argc, char* argv[])
{
itkGenericExceptionMacro(<< "SVs NULL");
}
- for (unsigned int i = 0; i < nbSupportVector; i++)
+ for (unsigned int i = 0; i < nbSupportVector; ++i)
{
if (SVs[i] == NULL) itkGenericExceptionMacro(<< "SVs " << i << " NULL");
f << std::endl;
f << " SV[" << i << "]:";
const svm_node *p = SVs[i];
- /* for(unsigned int j=0; j<nbSupportVector; j++)
+ /* for(unsigned int j=0; j<nbSupportVector; ++j)
{
f << " SV["<<i<<"]["<<j<<"]:"; */
if (svmEstimator->GetKernelType() == PRECOMPUTED)
@@ -121,7 +121,7 @@ int otbSVMImageModelEstimatorModelAccessor(int argc, char* argv[])
itkGenericExceptionMacro(<< "rhos NULL");
}
f << std::setprecision(10) << " ";
- for (unsigned int i = 0; i < taille; i++)
+ for (unsigned int i = 0; i < taille; ++i)
{
f << " " << rhos[i];
}
@@ -133,11 +133,11 @@ int otbSVMImageModelEstimatorModelAccessor(int argc, char* argv[])
{
itkGenericExceptionMacro(<< "alphas NULL");
}
- for (unsigned int i = 0; i < nbClass - 1; i++)
+ for (unsigned int i = 0; i < nbClass - 1; ++i)
{
if (alphas[i] == NULL) itkGenericExceptionMacro(<< "alphas " << i << " NULL");
f << " ";
- for (unsigned int j = 0; j < nbSupportVector; j++)
+ for (unsigned int j = 0; j < nbSupportVector; ++j)
{
f << " " << alphas[i][j];
}
@@ -150,7 +150,7 @@ int otbSVMImageModelEstimatorModelAccessor(int argc, char* argv[])
// _evaluateHyperplaneDistance = ptrModel->EvaluateHyperplaneDistance();
// f << " - EvaluateHyperplaneDistance() VariableLengthVector() nb value(s): "<<_evaluateHyperplaneDistance.Size()<<std::endl;
-// for (unsigned int i=0; i<_evaluateHyperplaneDistance.Size(); i++)
+// for (unsigned int i=0; i<_evaluateHyperplaneDistance.Size(); ++i)
// {
// f << " "<<_evaluateHyperplaneDistance[i]<<std::endl;
// }
diff --git a/Testing/Code/Learning/otbSVMModelAccessor.cxx b/Testing/Code/Learning/otbSVMModelAccessor.cxx
index 978829248a83d4a4e80894766df79de3ce52df82..85953bbfc0bb2c0ad266db4d4737bc1f4bfd2bb4 100644
--- a/Testing/Code/Learning/otbSVMModelAccessor.cxx
+++ b/Testing/Code/Learning/otbSVMModelAccessor.cxx
@@ -55,7 +55,7 @@ int otbSVMModelAccessor(int argc, char* argv[])
{
itkGenericExceptionMacro(<< "SVs NULL");
}
- for (unsigned int i = 0; i < nbSupportVector; i++)
+ for (unsigned int i = 0; i < nbSupportVector; ++i)
{
if (SVs[i] == NULL) itkGenericExceptionMacro(<< "SVs " << i << " NULL");
f << std::endl;
@@ -77,7 +77,7 @@ int otbSVMModelAccessor(int argc, char* argv[])
itkGenericExceptionMacro(<< "rhos NULL");
}
f << " ";
- for (unsigned int i = 0; i < taille; i++)
+ for (unsigned int i = 0; i < taille; ++i)
{
f << " " << rhos[i];
}
@@ -89,11 +89,11 @@ int otbSVMModelAccessor(int argc, char* argv[])
{
itkGenericExceptionMacro(<< "alphas NULL");
}
- for (unsigned int i = 0; i < nbClass - 1; i++)
+ for (unsigned int i = 0; i < nbClass - 1; ++i)
{
if (alphas[i] == NULL) itkGenericExceptionMacro(<< "alphas " << i << " NULL");
f << " ";
- for (unsigned int j = 0; j < nbSupportVector; j++)
+ for (unsigned int j = 0; j < nbSupportVector; ++j)
{
f << " " << alphas[i][j];
}
@@ -106,7 +106,7 @@ int otbSVMModelAccessor(int argc, char* argv[])
// _evaluateHyperplaneDistance = ptrModel->EvaluateHyperplaneDistance();
// f << " - EvaluateHyperplaneDistance() VariableLengthVector() nb value(s): "<<_evaluateHyperplaneDistance.Size()<<std::endl;
-// for (unsigned int i=0; i<_evaluateHyperplaneDistance.Size(); i++)
+// for (unsigned int i=0; i<_evaluateHyperplaneDistance.Size(); ++i)
// {
// f << " "<<_evaluateHyperplaneDistance[i]<<std::endl;
// }
diff --git a/Testing/Code/Learning/otbSVMModelGenericKernelsTest.cxx b/Testing/Code/Learning/otbSVMModelGenericKernelsTest.cxx
index 968cc102bf18683d703c285c298dbeebb61ff581..cad93a012c33feda428f510a4d2c5b70e6900a9c 100644
--- a/Testing/Code/Learning/otbSVMModelGenericKernelsTest.cxx
+++ b/Testing/Code/Learning/otbSVMModelGenericKernelsTest.cxx
@@ -97,7 +97,7 @@ int otbSVMModelGenericKernelsTest(int argc, char* argv[])
model->l = 5;
model->sv_coef = new double*[model->nr_class - 1];
- for (int i = 0; i < model->nr_class - 1; i++)
+ for (int i = 0; i < model->nr_class - 1; ++i)
model->sv_coef[i] = new double[model->l];
model->SV = new svm_node *[model->l];
for (int n = 0; n < model->l; ++n)
diff --git a/Testing/Code/MultiScale/otbWaveletFilterBank.cxx b/Testing/Code/MultiScale/otbWaveletFilterBank.cxx
index 1942d7d30a5c15dcdf17ff08f602f3e19104e3d1..dcdcbb17c8f4c38782ab7e80dd65734d003f4289 100644
--- a/Testing/Code/MultiScale/otbWaveletFilterBank.cxx
+++ b/Testing/Code/MultiScale/otbWaveletFilterBank.cxx
@@ -58,7 +58,7 @@ int otbWaveletFilterBank(int argc, char * argv[])
typedef otb::WaveletFilterBank<ImageType, ImageType, InvWaveletOperator, otb::Wavelet::INVERSE>
InvFilterType;
InvFilterType::Pointer invFilter = InvFilterType::New();
- for (unsigned int i = 0; i < filter->GetNumberOfOutputs(); i++)
+ for (unsigned int i = 0; i < filter->GetNumberOfOutputs(); ++i)
invFilter->SetInput(i, filter->GetOutput(i));
invFilter->SetSubsampleImageFactor(filter->GetSubsampleImageFactor());
diff --git a/Testing/Code/MultiTemporal/otbTimeSeriesLeastSquareFittingFunctorTest.cxx b/Testing/Code/MultiTemporal/otbTimeSeriesLeastSquareFittingFunctorTest.cxx
index 1143e434db50baca0d38b113818df1a73cb983d1..51ec506de97caf9a5854d0d2914b1fdb08f7c74b 100644
--- a/Testing/Code/MultiTemporal/otbTimeSeriesLeastSquareFittingFunctorTest.cxx
+++ b/Testing/Code/MultiTemporal/otbTimeSeriesLeastSquareFittingFunctorTest.cxx
@@ -37,7 +37,7 @@ int otbTimeSeriesLeastSquareFittingFunctorTest(int argc, char* argv[])
DatesType doySeries;
// one acquisition every 2 days
- for(unsigned int i = 0; i<nbDates; i++)
+ for(unsigned int i = 0; i<nbDates; ++i)
doySeries[i] = 2*i;
@@ -48,7 +48,7 @@ int otbTimeSeriesLeastSquareFittingFunctorTest(int argc, char* argv[])
inCoefs[2] = ::atof(argv[3]);
// x = a + b * t + c * t^2
- for(unsigned int i = 0; i<nbDates; i++)
+ for(unsigned int i = 0; i<nbDates; ++i)
inSeries[i] = inCoefs[0]+inCoefs[1]*doySeries[i]+inCoefs[2]*vcl_pow(doySeries[i], 2.0);
@@ -57,7 +57,7 @@ int otbTimeSeriesLeastSquareFittingFunctorTest(int argc, char* argv[])
FunctorType::CoefficientsType outCoefs = f.GetCoefficients(inSeries);
- for(unsigned int i=0; i<= Degree; i++)
+ for(unsigned int i=0; i<= Degree; ++i)
if(fabs((outCoefs[i]-inCoefs[i])/inCoefs[i])>0.01)
{
std::cout << outCoefs[i] << " != " << inCoefs[i] << std::endl;
diff --git a/Testing/Code/MultiTemporal/otbTimeSeriesLeastSquareFittingFunctorWeightsTest.cxx b/Testing/Code/MultiTemporal/otbTimeSeriesLeastSquareFittingFunctorWeightsTest.cxx
index c7b17a2377aabd93e3233d1f548da19f8c0f7b2f..f68a291e60cc1a74b716acbad1dbdf048dbfef63 100644
--- a/Testing/Code/MultiTemporal/otbTimeSeriesLeastSquareFittingFunctorWeightsTest.cxx
+++ b/Testing/Code/MultiTemporal/otbTimeSeriesLeastSquareFittingFunctorWeightsTest.cxx
@@ -37,7 +37,7 @@ int otbTimeSeriesLeastSquareFittingFunctorWeightsTest(int argc, char* argv[])
DatesType doySeries;
// one acquisition every 2 days
- for(unsigned int i = 0; i<nbDates; i++)
+ for(unsigned int i = 0; i<nbDates; ++i)
doySeries[i] = 2*i;
@@ -49,7 +49,7 @@ int otbTimeSeriesLeastSquareFittingFunctorWeightsTest(int argc, char* argv[])
inCoefs[2] = ::atof(argv[3]);
// x = a + b * t + c * t^2
- for(unsigned int i = 0; i<nbDates; i++)
+ for(unsigned int i = 0; i<nbDates; ++i)
{
inSeries[i] = inCoefs[0]+inCoefs[1]*doySeries[i]+inCoefs[2]*vcl_pow(doySeries[i], 2.0);
weightSeries[i] = 1;
@@ -70,7 +70,7 @@ int otbTimeSeriesLeastSquareFittingFunctorWeightsTest(int argc, char* argv[])
FunctorType::CoefficientsType outCoefs = f.GetCoefficients(inSeries);
- for(unsigned int i=0; i<= Degree; i++)
+ for(unsigned int i=0; i<= Degree; ++i)
if(fabs((outCoefs[i]-inCoefs[i])/inCoefs[i])>0.01)
{
std::cout << outCoefs[i] << " != " << inCoefs[i] << std::endl;
diff --git a/Testing/Code/Projections/otbOssimElevManagerTest2.cxx b/Testing/Code/Projections/otbOssimElevManagerTest2.cxx
index cfa16b606847ef4e16decb396c34470de09e3d5b..f8ef7236a336d1be91cde3354d49a4fc9549e2ae 100644
--- a/Testing/Code/Projections/otbOssimElevManagerTest2.cxx
+++ b/Testing/Code/Projections/otbOssimElevManagerTest2.cxx
@@ -55,7 +55,7 @@ int otbOssimElevManagerTest2(int argc, char* argv[])
std::ofstream file;
file.open(outfname);
- for (int i = 0; i < size; i++)
+ for (int i = 0; i < size; ++i)
{
PointType point;
point[0] = origin[0] + i * spacing;
diff --git a/Testing/Code/Radiometry/otbAtmosphericCorrectionParametersTo6SAtmosphericRadiativeTerms.cxx b/Testing/Code/Radiometry/otbAtmosphericCorrectionParametersTo6SAtmosphericRadiativeTerms.cxx
index 8e099bb43b98a3760f54662152e6435dd80f1086..c8d12a6d5442687452349bf03cf5f41b822fbd9f 100644
--- a/Testing/Code/Radiometry/otbAtmosphericCorrectionParametersTo6SAtmosphericRadiativeTerms.cxx
+++ b/Testing/Code/Radiometry/otbAtmosphericCorrectionParametersTo6SAtmosphericRadiativeTerms.cxx
@@ -48,7 +48,7 @@ int otbAtmosphericCorrectionParametersTo6SAtmosphericRadiativeTerms(int argc, ch
ValueType val = 0.0025;
- //for(unsigned int i=0; i<wavelenghFiles.size(); i++)
+ //for(unsigned int i=0; i<wavelenghFiles.size(); ++i)
//{
//functionValues = FilterFunctionValuesType::New();
vect.clear();
@@ -167,14 +167,14 @@ int otbAtmosphericCorrectionParametersTo6SAtmosphericRadiativeTerms(int argc, ch
std::endl;
fout << " ---------------------------------------------------------" << std::endl;
fout << "Input wavelength band values [" << functionValues->GetFilterFunctionValues().size() << "]:" << std::endl;
- for (unsigned int i = 0; i < functionValues->GetFilterFunctionValues().size(); i++)
+ for (unsigned int i = 0; i < functionValues->GetFilterFunctionValues().size(); ++i)
{
fout << " " << functionValues->GetFilterFunctionValues()[i] << std::endl;
}
fout << " ---------------------------------------------------------" << std::endl;
fout << "Output wavelength band values 6S [" << functionValues->GetFilterFunctionValues6S().size() << "]:" <<
std::endl;
- for (unsigned int i = 0; i < functionValues->GetFilterFunctionValues6S().size(); i++)
+ for (unsigned int i = 0; i < functionValues->GetFilterFunctionValues6S().size(); ++i)
{
fout << " " << functionValues->GetFilterFunctionValues6S()[i] << std::endl;
}
diff --git a/Testing/Code/Radiometry/otbAtmosphericCorrectionSequencement.cxx b/Testing/Code/Radiometry/otbAtmosphericCorrectionSequencement.cxx
index f925eccefffdaf19259b2b779a78f066783fbace..fafc60fba511d4bf79e2846213613b7ae6619f00 100644
--- a/Testing/Code/Radiometry/otbAtmosphericCorrectionSequencement.cxx
+++ b/Testing/Code/Radiometry/otbAtmosphericCorrectionSequencement.cxx
@@ -76,7 +76,7 @@ int otbAtmosphericCorrectionSequencementTest(int argc, char *argv[])
std::ifstream fin;
fin.open(argv[3]);
double dalpha(0.), dbeta(0.);
- for (unsigned int i = 0; i < nbOfComponent; i++)
+ for (unsigned int i = 0; i < nbOfComponent; ++i)
{
fin >> dalpha;
fin >> dbeta;
@@ -101,7 +101,7 @@ int otbAtmosphericCorrectionSequencementTest(int argc, char *argv[])
fin.open(argv[7]);
double dsolarIllumination(0.);
- for (unsigned int i = 0; i < nbOfComponent; i++)
+ for (unsigned int i = 0; i < nbOfComponent; ++i)
{
fin >> dsolarIllumination;
solarIllumination[i] = dsolarIllumination;
@@ -150,7 +150,7 @@ int otbAtmosphericCorrectionSequencementTest(int argc, char *argv[])
fin.open(argv[16]);
fin >> nbBands;
- for (unsigned int i = 0; i < nbBands; i++)
+ for (unsigned int i = 0; i < nbBands; ++i)
{
valuesVector.clear();
fin >> sString;
@@ -158,7 +158,7 @@ int otbAtmosphericCorrectionSequencementTest(int argc, char *argv[])
fin >> maxSpectralValue;
fin >> userStep;
fin >> nbValuesPerBand;
- for (unsigned int j = 0; j < nbValuesPerBand; j++)
+ for (unsigned int j = 0; j < nbValuesPerBand; ++j)
{
fin >> value;
valuesVector.push_back(value);
diff --git a/Testing/Code/Radiometry/otbFilterFunctionValues.cxx b/Testing/Code/Radiometry/otbFilterFunctionValues.cxx
index d69865b502434b5ee4f06f83d8341f818fb39776..3fc9f13769aeae560c2cba2bbc7be6188ebf3b58 100644
--- a/Testing/Code/Radiometry/otbFilterFunctionValues.cxx
+++ b/Testing/Code/Radiometry/otbFilterFunctionValues.cxx
@@ -37,7 +37,7 @@ int otbFilterFunctionValuesTest(int argc, char * argv[])
FilterFunctionValuesType::Pointer object = FilterFunctionValuesType::New();
FilterFunctionValuesType::ValuesVectorType vect;
- for (int i = 5; i < argc; i++)
+ for (int i = 5; i < argc; ++i)
{
vect.push_back(atof(argv[i]));
}
@@ -57,13 +57,13 @@ int otbFilterFunctionValuesTest(int argc, char * argv[])
file.open(outname);
file << "Input Vector :" << std::endl;
- for (unsigned int i = 0; i < vect.size(); i++)
+ for (unsigned int i = 0; i < vect.size(); ++i)
{
file << vect[i] << std::endl;
}
file << std::endl;
file << "Output vector :" << std::endl;
- for (unsigned int i = 0; i < object->GetFilterFunctionValues6S().size(); i++)
+ for (unsigned int i = 0; i < object->GetFilterFunctionValues6S().size(); ++i)
{
file << object->GetFilterFunctionValues6S()[i] << std::endl;
}
@@ -111,7 +111,7 @@ int otbFilterFunctionValuesDigitalGlobeTest(int argc, char * argv[])
itksys::String itksLine(line);
// Suppress multiple spaces
- for (unsigned int i = 0; i < itksLine.size() - 1; i++)
+ for (unsigned int i = 0; i < itksLine.size() - 1; ++i)
{
if (itksLine.compare(i, 1, " ") == 0 && itksLine.compare(i + 1, 1, " ") == 0)
{
@@ -134,7 +134,7 @@ int otbFilterFunctionValuesDigitalGlobeTest(int argc, char * argv[])
nbBands = keywordStrings.size() - 1;
std::cout << "firstline " << " mini " << mini << " nbBands "<< nbBands << std::endl;
std::cout << "keywordStrings[nbBands] " << keywordStrings[nbBands] << std::endl;
- for (unsigned int j = 0; j < nbBands; j++)
+ for (unsigned int j = 0; j < nbBands; ++j)
{
wavelengthSpectralBand->PushBack(FilterFunctionValuesType::New());
ValuesVectorType temp;
@@ -171,7 +171,7 @@ int otbFilterFunctionValuesDigitalGlobeTest(int argc, char * argv[])
//outputFile << std::endl;
//outputFile << "Output vector :" << std::endl;
- for (unsigned int j = 0; j < nbBands; j++)
+ for (unsigned int j = 0; j < nbBands; ++j)
{
wavelengthSpectralBand->GetNthElement(j)->SetFilterFunctionValues(valuesVector[j]);
wavelengthSpectralBand->GetNthElement(j)->SetMinSpectralValue(mini);
@@ -187,7 +187,7 @@ int otbFilterFunctionValuesDigitalGlobeTest(int argc, char * argv[])
outputFile << std::endl;
- for (unsigned int i = 0; i < wavelengthSpectralBand->GetNthElement(j)->GetFilterFunctionValues6S().size(); i++)
+ for (unsigned int i = 0; i < wavelengthSpectralBand->GetNthElement(j)->GetFilterFunctionValues6S().size(); ++i)
{
outputFile << wavelengthSpectralBand->GetNthElement(j)->GetFilterFunctionValues6S()[i] << std::endl;
}
diff --git a/Testing/Code/Radiometry/otbImageToLuminanceImageFilter.cxx b/Testing/Code/Radiometry/otbImageToLuminanceImageFilter.cxx
index 5f3153225a9a7d2e48eda9514a4f504a0fea0dfe..0263b8bc6cd92d52d8d0785f11714223a514578d 100644
--- a/Testing/Code/Radiometry/otbImageToLuminanceImageFilter.cxx
+++ b/Testing/Code/Radiometry/otbImageToLuminanceImageFilter.cxx
@@ -50,7 +50,7 @@ int otbImageToLuminanceImageFilter(int argc, char * argv[])
alpha.Fill(0);
beta.Fill(0);
- for (unsigned int i = 0; i < nbOfComponent; i++)
+ for (unsigned int i = 0; i < nbOfComponent; ++i)
{
alpha[i] = static_cast<double>(atof(argv[i + 3]));
beta[i] = static_cast<double>(atof(argv[i + 7]));
diff --git a/Testing/Code/Radiometry/otbImageToReflectanceImageFilter.cxx b/Testing/Code/Radiometry/otbImageToReflectanceImageFilter.cxx
index dc4f8cd600c00b20607832b3836ae0bec7c0d193..12d46697ce72a4c0624d338ac0856a47bc185b97 100644
--- a/Testing/Code/Radiometry/otbImageToReflectanceImageFilter.cxx
+++ b/Testing/Code/Radiometry/otbImageToReflectanceImageFilter.cxx
@@ -66,7 +66,7 @@ int otbImageToReflectanceImageFilter(int argc, char * argv[])
beta.Fill(0);
solarIllumination.Fill(0);
- for (unsigned int i = 0; i < nbOfComponent; i++)
+ for (unsigned int i = 0; i < nbOfComponent; ++i)
{
alpha[i] = static_cast<double>(atof(argv[i + 4]));
beta[i] = static_cast<double>(atof(argv[i + 8]));
diff --git a/Testing/Code/Radiometry/otbReflectanceToSurfaceReflectanceImageFilterTest.cxx b/Testing/Code/Radiometry/otbReflectanceToSurfaceReflectanceImageFilterTest.cxx
index 7595616c93b6029a016ced932e52e33853c166d5..46eee240f24fbc3aa17e334e931fc161de9ce584 100644
--- a/Testing/Code/Radiometry/otbReflectanceToSurfaceReflectanceImageFilterTest.cxx
+++ b/Testing/Code/Radiometry/otbReflectanceToSurfaceReflectanceImageFilterTest.cxx
@@ -73,7 +73,7 @@ int otbReflectanceToSurfaceReflectanceImageFilterTest(int argc, char * argv[])
DataVectorType downTrans;
DataVectorType upTrans;
- for (unsigned int j = 0; j < nbChannel; j++)
+ for (unsigned int j = 0; j < nbChannel; ++j)
{
intrinsic.push_back(static_cast<double>(atof(argv[3 + j])));
albedo.push_back(static_cast<double>(atof(argv[3 + j + nbChannel])));
diff --git a/Testing/Code/Radiometry/otbRomaniaReflectanceToRomaniaSurfaceReflectanceImageFilter.cxx b/Testing/Code/Radiometry/otbRomaniaReflectanceToRomaniaSurfaceReflectanceImageFilter.cxx
index 6ac4aca74c3b5354f8542930790fae78a0a1b8a3..7bf1964a2bd83048e05105e48029d640f9e6be1e 100644
--- a/Testing/Code/Radiometry/otbRomaniaReflectanceToRomaniaSurfaceReflectanceImageFilter.cxx
+++ b/Testing/Code/Radiometry/otbRomaniaReflectanceToRomaniaSurfaceReflectanceImageFilter.cxx
@@ -66,7 +66,7 @@ int otbRomaniaReflectanceToRomaniaSurfaceReflectanceImageFilter(int argc, char *
reader->UpdateOutputInformation();
unsigned int nbChannel = reader->GetOutput()->GetNumberOfComponentsPerPixel();
- for (unsigned int i = 0; i < nbChannel; i++)
+ for (unsigned int i = 0; i < nbChannel; ++i)
{
wavelenghFiles.push_back(argv[i + 4]);
}
@@ -116,7 +116,7 @@ int otbRomaniaReflectanceToRomaniaSurfaceReflectanceImageFilter(int argc, char *
param->SetAerosolOptical(static_cast<double>(aerosolOptical));
ValuesVectorType vect;
- for (unsigned int j = 0; j < nbChannel; j++)
+ for (unsigned int j = 0; j < nbChannel; ++j)
{
functionValues = FilterFunctionValuesType::New();
vect.clear();
diff --git a/Testing/Code/Radiometry/otbSIXSTraitsComputeAtmosphericParameters.cxx b/Testing/Code/Radiometry/otbSIXSTraitsComputeAtmosphericParameters.cxx
index db5151dd652a32edca902a002150ddf0f2afb42f..e5e0ce767f9ffe72b6ec2be68f2fc65a3c6ad472 100644
--- a/Testing/Code/Radiometry/otbSIXSTraitsComputeAtmosphericParameters.cxx
+++ b/Testing/Code/Radiometry/otbSIXSTraitsComputeAtmosphericParameters.cxx
@@ -159,14 +159,14 @@ int otbSIXSTraitsComputeAtmosphericParametersTest(int argc, char * argv[])
std::endl;
fout << " ---------------------------------------------------------" << std::endl;
fout << "Input wavelength band values [" << functionValues->GetFilterFunctionValues().size() << "]:" << std::endl;
- for (unsigned int i = 0; i < functionValues->GetFilterFunctionValues().size(); i++)
+ for (unsigned int i = 0; i < functionValues->GetFilterFunctionValues().size(); ++i)
{
fout << " " << functionValues->GetFilterFunctionValues()[i] << std::endl;
}
fout << " ---------------------------------------------------------" << std::endl;
fout << "Output wavelength band values 6S [" << functionValues->GetFilterFunctionValues6S().size() << "]:" <<
std::endl;
- for (unsigned int i = 0; i < functionValues->GetFilterFunctionValues6S().size(); i++)
+ for (unsigned int i = 0; i < functionValues->GetFilterFunctionValues6S().size(); ++i)
{
fout << " " << functionValues->GetFilterFunctionValues6S()[i] << std::endl;
}
diff --git a/Testing/Code/Radiometry/otbSurfaceAdjacencyEffect6SCorrectionSchemeFilter.cxx b/Testing/Code/Radiometry/otbSurfaceAdjacencyEffect6SCorrectionSchemeFilter.cxx
index cb13ff0016259ce9f503d8a39b73fa01d3a01825..a65d8b39ada70f178460df0e3c7a5f6c00f631f7 100644
--- a/Testing/Code/Radiometry/otbSurfaceAdjacencyEffect6SCorrectionSchemeFilter.cxx
+++ b/Testing/Code/Radiometry/otbSurfaceAdjacencyEffect6SCorrectionSchemeFilter.cxx
@@ -72,7 +72,7 @@ int otbSurfaceAdjacencyEffect6SCorrectionSchemeFilter(int argc, char * argv[])
reader->UpdateOutputInformation();
std::vector<const char *> wavelenghFiles;
unsigned int nbChannel = reader->GetOutput()->GetNumberOfComponentsPerPixel();
- for (unsigned int i = 0; i < nbChannel; i++)
+ for (unsigned int i = 0; i < nbChannel; ++i)
{
wavelenghFiles.push_back(argv[i + 6]);
}
@@ -122,7 +122,7 @@ int otbSurfaceAdjacencyEffect6SCorrectionSchemeFilter(int argc, char * argv[])
param->SetAerosolOptical(static_cast<double>(aerosolOptical));
ValuesVectorType vect;
- for (unsigned int j = 0; j < nbChannel; j++)
+ for (unsigned int j = 0; j < nbChannel; ++j)
{
functionValues = FilterFunctionValuesType::New();
vect.clear();
diff --git a/Testing/Code/SARPolarimetry/otbHermitianEigenAnalysisTest.cxx b/Testing/Code/SARPolarimetry/otbHermitianEigenAnalysisTest.cxx
index 8e205c8275158071b7590a70d31ba6cbdf4d35a8..798acee25300cfaeccd51c3191e8f6a7ff0bb8d6 100644
--- a/Testing/Code/SARPolarimetry/otbHermitianEigenAnalysisTest.cxx
+++ b/Testing/Code/SARPolarimetry/otbHermitianEigenAnalysisTest.cxx
@@ -72,7 +72,7 @@ int otbHermitianEigenAnalysisTest(int argc, char * argv[])
mat.Fill(0.);
float val = 0;
- for(unsigned int i=0; i<mat.Size(); i++)
+ for(unsigned int i=0; i<mat.Size(); ++i)
{
mat[i] = val;
val += 0.5;
@@ -96,9 +96,9 @@ int otbHermitianEigenAnalysisTest(int argc, char * argv[])
}
bool isOK = true;
- for(unsigned int i=0; i<6; i++)
+ for(unsigned int i=0; i<6; ++i)
{
- for(unsigned int j=0; j<3; j++)
+ for(unsigned int j=0; j<3; ++j)
{
if(vcl_abs(eigVal[j][i] - resEigVal[j][i]) > 1e-5)
{
@@ -148,7 +148,7 @@ int otbHermitianEigenAnalysisTest(int argc, char * argv[])
std::cout<<"W:: "<<std::endl;
vnl_vector< ComplexType > lol = syst.W;
- for(unsigned i=0; i<lol.size(); i++)
+ for(unsigned i=0; i<lol.size(); ++i)
{
std::cout<<" "<<lol[i];
}
diff --git a/Testing/Code/SARPolarimetry/otbMuellerToReciprocalCovarianceFunctor.cxx b/Testing/Code/SARPolarimetry/otbMuellerToReciprocalCovarianceFunctor.cxx
index fa63173b6c2994d890420ab50c8bf8dbb14d3937..1fc4a8e1edeb1c631340325677318d0d61d080c9 100644
--- a/Testing/Code/SARPolarimetry/otbMuellerToReciprocalCovarianceFunctor.cxx
+++ b/Testing/Code/SARPolarimetry/otbMuellerToReciprocalCovarianceFunctor.cxx
@@ -37,7 +37,7 @@ int otbMuellerToReciprocalCovarianceFunctor(int argc, char * argv[])
result.SetSize(6);
double val = 0;
- for(unsigned int i=0; i<input.Size(); i++)
+ for(unsigned int i=0; i<input.Size(); ++i)
{
input[i] = val;
val += 0.5;
diff --git a/Testing/Code/Simulation/otbAtmosphericCorrectionsRSRSVMClassifier.cxx b/Testing/Code/Simulation/otbAtmosphericCorrectionsRSRSVMClassifier.cxx
index 81c04ca738401159e6a1937006095dcef403a673..ad34b5130969ffc2ff2f5dadde2055faff108f2a 100644
--- a/Testing/Code/Simulation/otbAtmosphericCorrectionsRSRSVMClassifier.cxx
+++ b/Testing/Code/Simulation/otbAtmosphericCorrectionsRSRSVMClassifier.cxx
@@ -141,7 +141,7 @@ int otbAtmosphericCorrectionsRSRSVMClassifier(int argc, char * argv[])
const ossimString regularExpressionPattern = ".*\\.txt$";
int flags = ossimDirectory::OSSIM_DIR_DEFAULT;
- for (unsigned int i = 0; i < dirSR.size(); i++) //for each class (directory)
+ for (unsigned int i = 0; i < dirSR.size(); ++i) //for each class (directory)
{
std::vector<ossimFilename> result;
ossimDirectory * directory = new ossimDirectory();
@@ -161,7 +161,7 @@ int otbAtmosphericCorrectionsRSRSVMClassifier(int argc, char * argv[])
randomGen = itk::Statistics::MersenneTwisterRandomVariateGenerator::New();
//randomGen->Initialize();
- for (unsigned int j = 0; j < static_cast<unsigned int> (percentage * result.size()); j++)
+ for (unsigned int j = 0; j < static_cast<unsigned int> (percentage * result.size()); ++j)
{
ind = randomGen->GetIntegerVariate() % (result.size());
testing.push_back(result[ind]);
@@ -169,14 +169,14 @@ int otbAtmosphericCorrectionsRSRSVMClassifier(int argc, char * argv[])
}
//add to global training files and testing files
- for (unsigned int k = 0; k < testing.size(); k++)
+ for (unsigned int k = 0; k < testing.size(); ++k)
{
std::cout << "testing[" << k << "] : " << testing[k] << std::endl;
testingFiles.push_back(testing[k]);
testingGTClasses.push_back(i);
}
- for (unsigned int l = 0; l < training.size(); l++)
+ for (unsigned int l = 0; l < training.size(); ++l)
{
std::cout << "training[" << l << "] : " << training[l] << std::endl;
trainingFiles.push_back(training[l]);
@@ -188,7 +188,7 @@ int otbAtmosphericCorrectionsRSRSVMClassifier(int argc, char * argv[])
SampleListType::Pointer sampleList = SampleListType::New();
TrainingSampleListType::Pointer trainingList = TrainingSampleListType::New();
- for (unsigned int i = 0; i < trainingFiles.size(); i++)
+ for (unsigned int i = 0; i < trainingFiles.size(); ++i)
{
SpectralResponsePointerType spectralResponse = SpectralResponseType::New();
ReduceSpectralResponseType::Pointer reduceSpectralResponse = ReduceSpectralResponseType::New();
@@ -212,7 +212,7 @@ int otbAtmosphericCorrectionsRSRSVMClassifier(int argc, char * argv[])
TrainingSampleType trainingSample;
sample.SetSize(atmosphericEffectsFilter->GetCorrectedSpectralResponse()->Size());
std::cout << "corrected response : [";
- for (unsigned int j = 0; j < atmosphericEffectsFilter->GetCorrectedSpectralResponse()->Size(); j++)
+ for (unsigned int j = 0; j < atmosphericEffectsFilter->GetCorrectedSpectralResponse()->Size(); ++j)
{
sample[j] = atmosphericEffectsFilter->GetCorrectedSpectralResponse()->GetResponse()[j].second;
std::cout << atmosphericEffectsFilter->GetCorrectedSpectralResponse()->GetResponse()[j].second << " ";
@@ -235,7 +235,7 @@ int otbAtmosphericCorrectionsRSRSVMClassifier(int argc, char * argv[])
//compute spectral response for testing files
sampleList->Clear(); //clear the sample list to re use it for testing samples
TrainingSampleListType::Pointer groundTruthClassList = TrainingSampleListType::New();
- for (unsigned int i = 0; i < testingFiles.size(); i++)
+ for (unsigned int i = 0; i < testingFiles.size(); ++i)
{
SpectralResponsePointerType spectralResponse = SpectralResponseType::New();
ReduceSpectralResponseType::Pointer reduceSpectralResponse = ReduceSpectralResponseType::New();
@@ -258,7 +258,7 @@ int otbAtmosphericCorrectionsRSRSVMClassifier(int argc, char * argv[])
SampleType sample;
TrainingSampleType gtClass;
sample.SetSize(atmosphericEffectsFilter->GetCorrectedSpectralResponse()->Size());
- for (unsigned int j = 0; j < atmosphericEffectsFilter->GetCorrectedSpectralResponse()->Size(); j++)
+ for (unsigned int j = 0; j < atmosphericEffectsFilter->GetCorrectedSpectralResponse()->Size(); ++j)
{
sample[j] = atmosphericEffectsFilter->GetCorrectedSpectralResponse()->GetResponse()[j].second;
}
@@ -283,7 +283,7 @@ int otbAtmosphericCorrectionsRSRSVMClassifier(int argc, char * argv[])
classifierListLabel->PushBack(it.GetClassLabel());
++it;
}
- for (unsigned int i = 0; i < testingFiles.size(); i++)
+ for (unsigned int i = 0; i < testingFiles.size(); ++i)
{
std::cout << "ground truth class : " << testingGTClasses[i] << std::endl;
}
diff --git a/Testing/Code/Simulation/otbImageSimulationMethodKMeansClassif.cxx b/Testing/Code/Simulation/otbImageSimulationMethodKMeansClassif.cxx
index 249b2c16cf81a4412008d60e2ab9bc9d786dd206..e13afed9e9730a797038ec4f96cd51ed7c13929e 100644
--- a/Testing/Code/Simulation/otbImageSimulationMethodKMeansClassif.cxx
+++ b/Testing/Code/Simulation/otbImageSimulationMethodKMeansClassif.cxx
@@ -146,7 +146,7 @@ int otbImageSimulationMethodKMeansClassif(int argc, char * argv[])
{
if(it.GetIndex()==centroidIndex)
{
- for(unsigned int j=0; j<nbBands; j++)
+ for(unsigned int j=0; j<nbBands; ++j)
{
initialCentroids[j+classIndex*nbBands]=it.Get()[j];
}
diff --git a/Testing/Code/Simulation/otbProspectReflTest.cxx b/Testing/Code/Simulation/otbProspectReflTest.cxx
index 585a4a61ed43457fbd22a62bb2b3f180e447461e..7dd385d91bb5a3ccdb3390db4fc9eec110bfd63b 100644
--- a/Testing/Code/Simulation/otbProspectReflTest.cxx
+++ b/Testing/Code/Simulation/otbProspectReflTest.cxx
@@ -60,7 +60,7 @@ int otbProspectReflTest(int argc, char * argv[])
prospect->Update();
std::ofstream outputFile(OutputName, std::ios::out);
- for(unsigned int i=0; i<prospect->GetReflectance()->Size(); i++)
+ for(unsigned int i=0; i<prospect->GetReflectance()->Size(); ++i)
{
outputFile<<prospect->GetReflectance()->GetResponse()[i].second<<std::endl;
}
diff --git a/Testing/Code/Simulation/otbProspectTransTest.cxx b/Testing/Code/Simulation/otbProspectTransTest.cxx
index ece4cdc7b2f887da2e05a8587dc7edad4bfe0abe..d691ab8006068c33262e8192c1f8a7baf208be70 100644
--- a/Testing/Code/Simulation/otbProspectTransTest.cxx
+++ b/Testing/Code/Simulation/otbProspectTransTest.cxx
@@ -58,7 +58,7 @@ int otbProspectTransTest(int argc, char * argv[])
prospect->Update();
std::ofstream outputFile(OutputName, std::ios::out);
- for(unsigned int i=0; i<prospect->GetTransmittance()->Size(); i++)
+ for(unsigned int i=0; i<prospect->GetTransmittance()->Size(); ++i)
{
outputFile<<prospect->GetTransmittance()->GetResponse()[i].second<<std::endl;
}
diff --git a/Testing/Code/Simulation/otbReduceSpectralResponseSVMClassifier.cxx b/Testing/Code/Simulation/otbReduceSpectralResponseSVMClassifier.cxx
index 22dcc02afaf96d6f2bdc202f746cb98fdb7acc8e..8ada44e3644d2cd86ef0ee73e71b0864408648e8 100644
--- a/Testing/Code/Simulation/otbReduceSpectralResponseSVMClassifier.cxx
+++ b/Testing/Code/Simulation/otbReduceSpectralResponseSVMClassifier.cxx
@@ -92,7 +92,7 @@ int otbReduceSpectralResponseSVMClassifier(int argc, char * argv[])
const ossimString regularExpressionPattern = ".*\\.txt$";
int flags = ossimDirectory::OSSIM_DIR_DEFAULT;
- for (unsigned int i = 0; i < dirSR.size(); i++) //for each class (directory)
+ for (unsigned int i = 0; i < dirSR.size(); ++i) //for each class (directory)
{
std::vector<ossimFilename> result;
ossimDirectory * directory = new ossimDirectory();
@@ -112,7 +112,7 @@ int otbReduceSpectralResponseSVMClassifier(int argc, char * argv[])
randomGen = itk::Statistics::MersenneTwisterRandomVariateGenerator::New();
//randomGen->Initialize();
- for (unsigned int j = 0; j < static_cast<unsigned int> (percentage * result.size()); j++)
+ for (unsigned int j = 0; j < static_cast<unsigned int> (percentage * result.size()); ++j)
{
ind = randomGen->GetIntegerVariate() % (result.size());
testing.push_back(result[ind]);
@@ -120,14 +120,14 @@ int otbReduceSpectralResponseSVMClassifier(int argc, char * argv[])
}
//add to global training files and testing files
- for (unsigned int k = 0; k < testing.size(); k++)
+ for (unsigned int k = 0; k < testing.size(); ++k)
{
std::cout << "testing[" << k << "] : " << testing[k] << std::endl;
testingFiles.push_back(testing[k]);
testingGTClasses.push_back(i);
}
- for (unsigned int l = 0; l < training.size(); l++)
+ for (unsigned int l = 0; l < training.size(); ++l)
{
std::cout << "training[" << l << "] : " << training[l] << std::endl;
trainingFiles.push_back(training[l]);
@@ -138,7 +138,7 @@ int otbReduceSpectralResponseSVMClassifier(int argc, char * argv[])
//compute spectral response for all training files
SampleListType::Pointer sampleList = SampleListType::New();
TrainingSampleListType::Pointer trainingList = TrainingSampleListType::New();
- for (unsigned int i = 0; i < trainingFiles.size(); i++)
+ for (unsigned int i = 0; i < trainingFiles.size(); ++i)
{
ResponsePointerType spectralResponse = ResponseType::New();
std::cout << "training file : " << trainingFiles[i] << std::endl;
@@ -157,7 +157,7 @@ int otbReduceSpectralResponseSVMClassifier(int argc, char * argv[])
TrainingSampleType trainingSample;
sample.SetSize(reduceResponse->GetReduceResponse()->Size());
std::cout << "reduce response : [";
- for (unsigned int j = 0; j < reduceResponse->GetReduceResponse()->Size(); j++)
+ for (unsigned int j = 0; j < reduceResponse->GetReduceResponse()->Size(); ++j)
{
sample[j] = reduceResponse->GetReduceResponse()->GetResponse()[j].second;
std::cout << reduceResponse->GetReduceResponse()->GetResponse()[j].second << " ";
@@ -187,7 +187,7 @@ int otbReduceSpectralResponseSVMClassifier(int argc, char * argv[])
//compute spectral response for testing files
sampleList->Clear(); //clear the sample list to re use it for testing samples
TrainingSampleListType::Pointer groundTruthClassList = TrainingSampleListType::New();
- for (unsigned int i = 0; i < testingFiles.size(); i++)
+ for (unsigned int i = 0; i < testingFiles.size(); ++i)
{
ResponsePointerType spectralResponse = ResponseType::New();
std::cout << "testing file : " << testingFiles[i] << std::endl;
@@ -205,7 +205,7 @@ int otbReduceSpectralResponseSVMClassifier(int argc, char * argv[])
SampleType sample;
TrainingSampleType gtClass;
sample.SetSize(reduceResponse->GetReduceResponse()->Size());
- for (unsigned int j = 0; j < reduceResponse->GetReduceResponse()->Size(); j++)
+ for (unsigned int j = 0; j < reduceResponse->GetReduceResponse()->Size(); ++j)
{
sample[j] = reduceResponse->GetReduceResponse()->GetResponse()[j].second;
}
@@ -230,7 +230,7 @@ int otbReduceSpectralResponseSVMClassifier(int argc, char * argv[])
classifierListLabel->PushBack(it.GetClassLabel());
++it;
}
- for (unsigned int i = 0; i < testingFiles.size(); i++)
+ for (unsigned int i = 0; i < testingFiles.size(); ++i)
{
std::cout << "ground truth class : " << testingGTClasses[i] << std::endl;
}
diff --git a/Testing/Code/Simulation/otbSailReflHTest.cxx b/Testing/Code/Simulation/otbSailReflHTest.cxx
index 983f8c5259520ab50cfe1afadedb345da830cb20..0bf1d1e9464b41d88523989f6d7490cbf5848f7e 100644
--- a/Testing/Code/Simulation/otbSailReflHTest.cxx
+++ b/Testing/Code/Simulation/otbSailReflHTest.cxx
@@ -82,7 +82,7 @@ int otbSailReflHTest(int argc, char * argv[])
sail->Update();
std::ofstream outputFile(OutputName, std::ios::out);
- for(unsigned int i=0; i<sail->GetHemisphericalReflectance()->Size(); i++)
+ for(unsigned int i=0; i<sail->GetHemisphericalReflectance()->Size(); ++i)
{
outputFile<<sail->GetHemisphericalReflectance()->GetResponse()[i].second<<std::endl;
}
diff --git a/Testing/Code/Simulation/otbSailReflVTest.cxx b/Testing/Code/Simulation/otbSailReflVTest.cxx
index 6b405cd27ee8b786d9646d7f122d9e2b9b5b9c30..49f85bf4fa16676d43d2a99bb177512bf97a9fbc 100644
--- a/Testing/Code/Simulation/otbSailReflVTest.cxx
+++ b/Testing/Code/Simulation/otbSailReflVTest.cxx
@@ -83,7 +83,7 @@ int otbSailReflVTest(int argc, char * argv[])
sail->Update();
std::ofstream outputFile(OutputName, std::ios::out);
- for(unsigned int i=0; i<sail->GetViewingReflectance()->Size(); i++)
+ for(unsigned int i=0; i<sail->GetViewingReflectance()->Size(); ++i)
{
outputFile<<sail->GetViewingReflectance()->GetResponse()[i].second<<std::endl;
}
diff --git a/Testing/Code/Simulation/otbSatelliteRSR.cxx b/Testing/Code/Simulation/otbSatelliteRSR.cxx
index d92e8bab8dcdd439f4caa5cf2c7e14aed76ad3d8..1b6b3121292c85ba32a2558c8b8acc3ea8ea3e7e 100644
--- a/Testing/Code/Simulation/otbSatelliteRSR.cxx
+++ b/Testing/Code/Simulation/otbSatelliteRSR.cxx
@@ -43,7 +43,7 @@ int otbSatelliteRSR(int argc, char * argv[])
std::cout << myResponse <<std::endl;
std::cout << "RSR("<<lambda<<","<< NumBand <<")= " << (*myResponse)(lambda, NumBand) << std::endl;
-// for(unsigned int i=0; i<myResponse->GetRSR()[NumBand]->GetResponse().size(); i++)
+// for(unsigned int i=0; i<myResponse->GetRSR()[NumBand]->GetResponse().size(); ++i)
// {
// std::cout << "RSR("<<myResponse->GetRSR()[NumBand]->GetResponse()[i]->first<<","<< NumBand <<")= " << myResponse->GetRSR()[NumBand]->GetResponse()[i]->second << std::endl;
// }
diff --git a/Testing/Code/Simulation/otbSurfaceReflectanceToReflectanceFilterNew.cxx b/Testing/Code/Simulation/otbSurfaceReflectanceToReflectanceFilterNew.cxx
index 369aafa4ad1953e027ac9cd075e6aba9ebdfc943..154116dc03fd8b9b67d8cf285b4f20e9135643e0 100644
--- a/Testing/Code/Simulation/otbSurfaceReflectanceToReflectanceFilterNew.cxx
+++ b/Testing/Code/Simulation/otbSurfaceReflectanceToReflectanceFilterNew.cxx
@@ -101,7 +101,7 @@ int otbSurfaceReflectanceToReflectanceFilterTest(int argc, char * argv[])
ImageType::PixelType pixel;
pixel.SetSize((myResponse)->Size());
- for ( unsigned int i = 0; i<(myResponse)->Size(); i++ )
+ for ( unsigned int i = 0; i<(myResponse)->Size(); ++i )
{
pixel[i] = myResponse->GetResponse()[i].second;
}
diff --git a/Testing/Code/SpatialReasoning/otbImageMultiSegmentationToRCC8GraphFilter.cxx b/Testing/Code/SpatialReasoning/otbImageMultiSegmentationToRCC8GraphFilter.cxx
index a0eb750a29ca9c5ca3c279d60b668b0ee615ef15..df6cf4cd960eafbb29b1a69b707160cc40ff5301 100644
--- a/Testing/Code/SpatialReasoning/otbImageMultiSegmentationToRCC8GraphFilter.cxx
+++ b/Testing/Code/SpatialReasoning/otbImageMultiSegmentationToRCC8GraphFilter.cxx
@@ -47,7 +47,7 @@ int otbImageMultiSegmentationToRCC8GraphFilter(int argc, char* argv[])
ImageListType::Pointer inputList = ImageListType::New();
// Reading input images
- for (unsigned int i = 0; i < nbImages; i++)
+ for (unsigned int i = 0; i < nbImages; ++i)
{
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName(argv[4 + i]);
diff --git a/Testing/Code/SpatialReasoning/otbImageToImageRCC8Calculator.cxx b/Testing/Code/SpatialReasoning/otbImageToImageRCC8Calculator.cxx
index c0f88493798dc6c8607b7a84783a8cc52824ac53..2799803ba4ae85079436c46101eddc86af29e3eb 100644
--- a/Testing/Code/SpatialReasoning/otbImageToImageRCC8Calculator.cxx
+++ b/Testing/Code/SpatialReasoning/otbImageToImageRCC8Calculator.cxx
@@ -96,10 +96,10 @@ int otbImageToImageRCC8Calculator(int argc, char* argv[])
return EXIT_FAILURE;
}
}
- j++;
+ ++j;
}
j = 1;
- i++;
+ ++i;
out << std::endl;
}
out.close();
diff --git a/Testing/Code/SpatialReasoning/otbPolygonToPolygonRCC8Calculator.cxx b/Testing/Code/SpatialReasoning/otbPolygonToPolygonRCC8Calculator.cxx
index 13ed3b34ef0ac91801c31b8f1bfa61b2c6351d1b..a0d37ff18c08f182c8326e880ff81e11493e5d6f 100644
--- a/Testing/Code/SpatialReasoning/otbPolygonToPolygonRCC8Calculator.cxx
+++ b/Testing/Code/SpatialReasoning/otbPolygonToPolygonRCC8Calculator.cxx
@@ -145,10 +145,10 @@ int otbPolygonToPolygonRCC8Calculator(int argc, char* argv[])
return EXIT_FAILURE;
}
}
- j++;
+ ++j;
}
j = 1;
- i++;
+ ++i;
out << std::endl;
}
out.close();
diff --git a/Testing/Code/TestSystem/otbCompareAsciiTestsEpsilon3_WhiteSpace.cxx b/Testing/Code/TestSystem/otbCompareAsciiTestsEpsilon3_WhiteSpace.cxx
index 87e0935c0369b7219b65343ee87089ab0dd7b1ef..59cf1987313a6e4a3f07a32f9daf0862552b9f63 100644
--- a/Testing/Code/TestSystem/otbCompareAsciiTestsEpsilon3_WhiteSpace.cxx
+++ b/Testing/Code/TestSystem/otbCompareAsciiTestsEpsilon3_WhiteSpace.cxx
@@ -43,7 +43,7 @@ int otbCompareAsciiTestsEpsilon3_WhiteSpace(int argc, char * argv[])
// Write temporary object without modification
std::ofstream fileTestOutput;
fileTestOutput.open(argv[2]);
- for (unsigned int i=0; i < listLineFileTest.size(); i++)
+ for (unsigned int i=0; i < listLineFileTest.size(); ++i)
{
fileTestOutput << listLineFileTest[i];
}
diff --git a/Testing/Fa/MapActivation.cxx b/Testing/Fa/MapActivation.cxx
index 0af7291bfa5db4758bc3979295c04a03e1c28311..480a543d9a8b9a22f29006646e5ded7d7c223b2e 100644
--- a/Testing/Fa/MapActivation.cxx
+++ b/Testing/Fa/MapActivation.cxx
@@ -79,11 +79,11 @@ int main(int argc, char* argv[])
typedef itk::Statistics::ListSample<MeasurementVectorType> SampleType;
SampleType::Pointer liste = SampleType::New();
- for (int j = 0; j < nblines; j++)
+ for (int j = 0; j < nblines; ++j)
{
MeasurementVectorType tab;
tab.SetSize(nbcolonnes);
- for (int i = 0; i < nbcolonnes; i++)
+ for (int i = 0; i < nbcolonnes; ++i)
{
tab[i] = vectTab[j][i];
}
@@ -156,7 +156,7 @@ int main(int argc, char* argv[])
ClassifierType::OutputType::ConstIterator m_last = membershipSample->End();
/*int count[16];
- for(int i=0; i<16; i++)
+ for(int i=0; i<16; ++i)
{
count[i]=0;
}
@@ -174,7 +174,7 @@ int main(int argc, char* argv[])
++m_iter;
}
- /*for(int i=0; i<16; i++)
+ /*for(int i=0; i<16; ++i)
{
std::cout<<" classe: "<< i <<" nb elements= "<<count[i]<<std::endl;
}*/
@@ -182,7 +182,7 @@ int main(int argc, char* argv[])
int nbclass = membershipSample->GetNumberOfClasses();
std::cout << " nb of classes= " << nbclass << std::endl;
- for (int i = 0; i < nbclass; i++)
+ for (int i = 0; i < nbclass; ++i)
{
if (membershipSample->GetInternalClassLabel(i) != -1)
{
diff --git a/Testing/Fa/PolygonsVectorization.cxx b/Testing/Fa/PolygonsVectorization.cxx
index 5dd693c6c554a83ffd0acabddc4c3d1d53f6047d..f9241cf82abdef8cbf160d75d46a36727916dda4 100644
--- a/Testing/Fa/PolygonsVectorization.cxx
+++ b/Testing/Fa/PolygonsVectorization.cxx
@@ -221,7 +221,7 @@ int main(int argc, char * argv[])
if ((OutputPolyList->GetNthElement(i)->GetArea() > surfaceLimit) //delete big polygon
|| (OutputPolyList->GetNthElement(i)->GetArea() == 0)) //delete invalid polygon
OutputPolyList->Erase(i);
- else i++;
+ else ++i;
}
//Display results after erasure
@@ -246,7 +246,7 @@ int main(int argc, char * argv[])
oit.Set(iit.Get());
// erase small polygon
- for (unsigned int i = 0; i < OutputPolyList->Size(); i++)
+ for (unsigned int i = 0; i < OutputPolyList->Size(); ++i)
{
std::cout << "polygon " << i << std::endl;
ImageRegionType polygonRegion = OutputPolyList->GetNthElement(i)->GetBoundingRegion().GetImageRegion();