STYLE: output avec 't'

Code/BasicFilters/otbClosingOpeningMorphologicalFilter.txx

@@ -28,8 +28,8 @@ namespace otb {
 /**
  * Constructor
  */
-template <class TInputImage,class TOuputImage, class TKernel>
-ClosingOpeningMorphologicalFilter<TInputImage, TOuputImage, TKernel>
+template <class TInputImage,class TOutputImage, class TKernel>
+ClosingOpeningMorphologicalFilter<TInputImage, TOutputImage, TKernel>
 ::ClosingOpeningMorphologicalFilter()
 {
 m_Kernel.SetRadius(1);
@@ -38,9 +38,9 @@ m_Kernel.CreateStructuringElement();
 /**
  * Main computation method
  */
-template <class TInputImage,class TOuputImage, class TKernel>
+template <class TInputImage,class TOutputImage, class TKernel>
 void
-ClosingOpeningMorphologicalFilter<TInputImage, TOuputImage, TKernel>
+ClosingOpeningMorphologicalFilter<TInputImage, TOutputImage, TKernel>
 ::GenerateData()
 {
   // Filters Typedefs (this class is actually a composite filter) 
@@ -68,9 +68,9 @@ ClosingOpeningMorphologicalFilter<TInputImage, TOuputImage, TKernel>
 /**
  * PrintSelf method
  */
-template <class TInputImage,class TOuputImage, class TKernel>
+template <class TInputImage,class TOutputImage, class TKernel>
 void
-ClosingOpeningMorphologicalFilter<TInputImage, TOuputImage, TKernel>
+ClosingOpeningMorphologicalFilter<TInputImage, TOutputImage, TKernel>
 ::PrintSelf(std::ostream& os, itk::Indent indent) const
 {
   Superclass::PrintSelf(os,indent);

Code/BasicFilters/otbImageToPointSetFilter.txx

@@ -52,7 +52,7 @@ ImageToPointSetFilter<TInputImage,TOutputPointSet>
   
 
 /**
- *   Make Ouput
+ *   Make Output
  */
 template <class TInputImage, class TOutputPointSet>
 itk::DataObject::Pointer

Code/BasicFilters/otbImportGeoInformationImageFilter.h

@@ -27,7 +27,7 @@ namespace otb
  *  from an existing image into a non-georeferenced image.
  *
  *  It derives from itk::InPlaceImageFilter since it overwrites 
- *  its ouput if possible. This class has been written as a workaround 
+ *  its output if possible. This class has been written as a workaround 
  *  for the bug http://public.kitware.com/Bug/bug.php?op=show&bugid=4625&pos=0. 
  *  There should be no needs for this filter in a standard pipeline.
  *

Code/BasicFilters/otbOpeningClosingMorphologicalFilter.txx

@@ -28,8 +28,8 @@ namespace otb {
 /**
  * Constructor
  */
-template <class TInputImage,class TOuputImage, class TKernel>
-OpeningClosingMorphologicalFilter<TInputImage, TOuputImage, TKernel>
+template <class TInputImage,class TOutputImage, class TKernel>
+OpeningClosingMorphologicalFilter<TInputImage, TOutputImage, TKernel>
 ::OpeningClosingMorphologicalFilter()
 {
 	m_Kernel.SetRadius(1);
@@ -39,9 +39,9 @@ OpeningClosingMorphologicalFilter<TInputImage, TOuputImage, TKernel>
 /**
  * Main computation method
  */
-template <class TInputImage,class TOuputImage, class TKernel>
+template <class TInputImage,class TOutputImage, class TKernel>
 void
-OpeningClosingMorphologicalFilter<TInputImage, TOuputImage, TKernel>
+OpeningClosingMorphologicalFilter<TInputImage, TOutputImage, TKernel>
 ::GenerateData()
 {
   // Filters Typedefs (this class is actually a composite filter) 
@@ -69,9 +69,9 @@ OpeningClosingMorphologicalFilter<TInputImage, TOuputImage, TKernel>
 /**
  * PrintSelf method
  */
-template <class TInputImage,class TOuputImage, class TKernel>
+template <class TInputImage,class TOutputImage, class TKernel>
 void
-OpeningClosingMorphologicalFilter<TInputImage, TOuputImage, TKernel>
+OpeningClosingMorphologicalFilter<TInputImage, TOutputImage, TKernel>
 ::PrintSelf(std::ostream& os, itk::Indent indent) const
 {
   Superclass::PrintSelf(os,indent);

Code/FeatureExtraction/otbImageToTreeFilter.txx

@@ -52,7 +52,7 @@ ImageToTreeFilter<TInputImage,TOutputTree>
   
 
 /**
- *   Make Ouput
+ *   Make Output
  */
 template <class TInputImage, class TOutputTree>
 itk::DataObject::Pointer

Code/MultiScale/otbMorphologicalPyramidMRToMSConverter.txx

@@ -29,8 +29,8 @@ namespace otb
     /**
      * Constructor
      */
-    template <class TInputImage,class TOuputImage>
-    MRToMSConverter<TInputImage, TOuputImage>
+    template <class TInputImage,class TOutputImage>
+    MRToMSConverter<TInputImage, TOutputImage>
     ::MRToMSConverter()
     {
       this->SetNumberOfRequiredInputs(2);
@@ -229,9 +229,9 @@ namespace otb
     /**
      * Main computation method
      */
-    template <class TInputImage,class TOuputImage>
+    template <class TInputImage,class TOutputImage>
     void
-    MRToMSConverter<TInputImage, TOuputImage>
+    MRToMSConverter<TInputImage, TOutputImage>
     ::GenerateData()
     {
       // Input images lists pointers
@@ -344,9 +344,9 @@ namespace otb
     /**
      * PrintSelf method
      */
-    template <class TInputImage,class TOuputImage>
+    template <class TInputImage,class TOutputImage>
     void
-    MRToMSConverter<TInputImage, TOuputImage>
+    MRToMSConverter<TInputImage, TOutputImage>
     ::PrintSelf(std::ostream& os, itk::Indent indent) const
     {
       Superclass::PrintSelf(os,indent);

Code/MultiScale/otbMorphologicalPyramidResampler.txx

@@ -33,8 +33,8 @@ namespace MorphologicalPyramid
 /**
  * Constructor
  */
-template <class TInputImage,class TOuputImage>
-Resampler<TInputImage, TOuputImage>
+template <class TInputImage,class TOutputImage>
+Resampler<TInputImage, TOutputImage>
 ::Resampler()
 {
   for(int i=0;i<InputImageType::ImageDimension;++i)
@@ -45,9 +45,9 @@ Resampler<TInputImage, TOuputImage>
   /**
    * Configure input requested region to be the largest possible region.
    */
-template <class TInputImage,class TOuputImage>
+template <class TInputImage,class TOutputImage>
 void
-Resampler<TInputImage, TOuputImage>
+Resampler<TInputImage, TOutputImage>
 ::GenerateInputRequestedRegion()
 {
   // Superclass method call
@@ -68,9 +68,9 @@ Resampler<TInputImage, TOuputImage>
 /**
  * Configure output requested region to be the largest possible region
  */
-template <class TInputImage,class TOuputImage>
+template <class TInputImage,class TOutputImage>
 void
-Resampler<TInputImage, TOuputImage>
+Resampler<TInputImage, TOutputImage>
 ::EnlargeOutputRequestedRegion(itk::DataObject *itkNotUsed(output))
 {
   this->GetOutput()->SetRequestedRegion( this->GetOutput()->GetLargestPossibleRegion());
@@ -115,9 +115,9 @@ Resampler<TInputImage,TOutputImage>
 /**
  * Main computation method
  */
-template <class TInputImage,class TOuputImage>
+template <class TInputImage,class TOutputImage>
 void
-Resampler<TInputImage, TOuputImage>
+Resampler<TInputImage, TOutputImage>
 ::GenerateData()
 {
   typename OutputImageType::Pointer result;
@@ -167,9 +167,9 @@ Resampler<TInputImage, TOuputImage>
 /**
  * PrintSelf method
  */
-template <class TInputImage,class TOuputImage>
+template <class TInputImage,class TOutputImage>
 void
-Resampler<TInputImage, TOuputImage>
+Resampler<TInputImage, TOutputImage>
 ::PrintSelf(std::ostream& os, itk::Indent indent) const
 {
   Superclass::PrintSelf(os,indent);

Code/MultiScale/otbMorphologicalPyramidSegmenter.txx

@@ -40,8 +40,8 @@ namespace MorphologicalPyramid
 /**
  * Constructor
  */
-template <class TInputImage,class TOuputImage>
-Segmenter<TInputImage, TOuputImage>
+template <class TInputImage,class TOutputImage>
+Segmenter<TInputImage, TOutputImage>
 ::Segmenter()
 {
   this->SetNumberOfRequiredInputs(2);
@@ -55,9 +55,9 @@ Segmenter<TInputImage, TOuputImage>
  * Set the details image.
  * \param detailsImage The details image from the morphological pyramid
  */
-template <class TInputImage,class TOuputImage>
+template <class TInputImage,class TOutputImage>
 void
-Segmenter<TInputImage, TOuputImage>
+Segmenter<TInputImage, TOutputImage>
 ::SetDetailsImage(const InputImageType * detailsImage)
 {
 this->SetNthInput(0,const_cast<TInputImage *>(detailsImage));
@@ -66,9 +66,9 @@ this->SetNthInput(0,const_cast<TInputImage *>(detailsImage));
    * Set the details image.
    * \return detailsImage The input details image.
    */
-template <class TInputImage,class TOuputImage>
-typename Segmenter<TInputImage, TOuputImage>::InputImageType * 
-Segmenter<TInputImage, TOuputImage>
+template <class TInputImage,class TOutputImage>
+typename Segmenter<TInputImage, TOutputImage>::InputImageType * 
+Segmenter<TInputImage, TOutputImage>
 ::GetDetailsImage(void)
 {
   return const_cast<InputImageType *>(this->GetInput(0));
@@ -77,9 +77,9 @@ Segmenter<TInputImage, TOuputImage>
    * Set the original image.
    * \param originalImage The original image to segment.
    */
-template <class TInputImage,class TOuputImage>
+template <class TInputImage,class TOutputImage>
 void
-Segmenter<TInputImage, TOuputImage>
+Segmenter<TInputImage, TOutputImage>
 ::SetOriginalImage(const InputImageType * originalImage)
 {
   this->SetNthInput(1,const_cast<TInputImage *>(originalImage));
@@ -88,9 +88,9 @@ Segmenter<TInputImage, TOuputImage>
  * Get the original image.
  * \return originalImage The original image to segment.
  */
-template <class TInputImage,class TOuputImage>
-typename Segmenter<TInputImage, TOuputImage>::InputImageType * 
-Segmenter<TInputImage, TOuputImage>
+template <class TInputImage,class TOutputImage>
+typename Segmenter<TInputImage, TOutputImage>::InputImageType * 
+Segmenter<TInputImage, TOutputImage>
 ::GetOriginalImage(void)
 {
   return const_cast<InputImageType *>(this->GetInput(1));
@@ -98,9 +98,9 @@ Segmenter<TInputImage, TOuputImage>
 /**
  * Configure the input datas.
  */
-template <class TInputImage,class TOuputImage>
+template <class TInputImage,class TOutputImage>
 void
-Segmenter<TInputImage, TOuputImage>
+Segmenter<TInputImage, TOutputImage>
 ::GenerateInputRequestedRegion()
 {
   // call the superclass' implementation of this method
@@ -126,9 +126,9 @@ Segmenter<TInputImage, TOuputImage>
 /**
  * Configure the output data
  */
-template <class TInputImage,class TOuputImage>
+template <class TInputImage,class TOutputImage>
 void
-Segmenter<TInputImage, TOuputImage>
+Segmenter<TInputImage, TOutputImage>
 ::EnlargeOutputRequestedRegion(void)
 {
   this->GetOutput()
@@ -138,9 +138,9 @@ Segmenter<TInputImage, TOuputImage>
 /**
  * Main computation method
  */
-template <class TInputImage,class TOuputImage>
+template <class TInputImage,class TOutputImage>
 void
-Segmenter<TInputImage, TOuputImage>
+Segmenter<TInputImage, TOutputImage>
 ::GenerateData()
 {
   // Input images pointers
@@ -305,9 +305,9 @@ Segmenter<TInputImage, TOuputImage>
 /**
  * PrintSelf method
  */
-template <class TInputImage,class TOuputImage>
+template <class TInputImage,class TOutputImage>
 void
-Segmenter<TInputImage, TOuputImage>
+Segmenter<TInputImage, TOutputImage>
 ::PrintSelf(std::ostream& os, itk::Indent indent) const
 {
   Superclass::PrintSelf(os,indent);

Examples/Learning/SEMModelEstimatorExample.cxx

@@ -82,7 +82,7 @@ int main ( int argc, char * argv[] )
 
 // Software Guide : BeginLatex
 //
-// Input/Ouput images type are define in a classical way. 
+// Input/Output images type are define in a classical way. 
 // In fact, a \doxygen{itk}{VariableLengthVector} is to be 
 // considered for the templated \code{MeasurementVectorType}, which 
 // will be used in the \code{ListSample} interface.

Examples/Learning/SVMImageClassificationExample.cxx

@@ -206,7 +206,7 @@ int main(int argc, char* argv[] )
 //
 // We have now all the elements to create a classifier. The classifier
 // is templated over the sample type (the type of the data to be
-// classified) and the label type (the type of the ouput of the classifier).
+// classified) and the label type (the type of the output of the classifier).
 //
 // Software Guide : EndLatex
     

Examples/Learning/SVMImageEstimatorClassificationMultiExample.cxx

@@ -269,7 +269,7 @@ int main( int argc, char *argv[])
 //
 // We have now all the elements to create a classifier. The classifier
 // is templated over the sample type (the type of the data to be
-// classified) and the label type (the type of the ouput of the classifier).
+// classified) and the label type (the type of the output of the classifier).
 //
 // Software Guide : EndLatex
     

Examples/Learning/SVMPointSetClassificationExample.cxx

@@ -260,7 +260,7 @@ int main( int argc, char* argv[] )
 //
 // We have now all the elements to create a classifier. The classifier
 // is templated over the sample type (the type of the data to be
-// classified) and the label type (the type of the ouput of the classifier).
+// classified) and the label type (the type of the output of the classifier).
 //
 // Software Guide : EndLatex
     

Examples/MultiScale/MorphologicalPyramidSegmentationExample.cxx

@@ -169,7 +169,7 @@ int main(int argc, char * argv[])
 // parameters. As one can see, the \code{SetReferenceImage()} is used to
 // pass the original image in order to obtain sharp region
 // boundaries. Using the \code{SetBrighterDetails()} and
-// \code{SetDarkerDetails()} the ouput of the analysis is passed to the
+// \code{SetDarkerDetails()} the output of the analysis is passed to the
 // filter. Finally, the parameters for the segmentation are set by
 // using the \code{SetSeedsQuantile()},
 // \code{SetConnectedThresholdQuantile()} and