Skip to content
Snippets Groups Projects
Commit 3f03c5a6 authored by Jordi Inglada's avatar Jordi Inglada
Browse files

Cosmetique et indentation

parent 10b2ac46
No related branches found
No related tags found
No related merge requests found
......@@ -381,7 +381,7 @@ int main( int argc, char * argv [] )
// Software Guide : BeginLatex
//
// Finally, the classifier class is connected to the Markof Random Fields filter.
// Finally, the classifier class is connected to the Markov Random Fields filter.
//
// Software Guide : EndLatex
......
......@@ -407,7 +407,7 @@ int main (int argc, char* argv[])
//
// One must also specify the origin, size and spacing of the output deformation field.
//
// Software Guide : endLatex
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
......
......@@ -133,7 +133,7 @@ int main( int argc, char* argv[] )
// Software Guide : BeginLatex
//
// If your image is not in Toulouse (in region 31 to be exact), you need to
// Now we need to
// instanciate the map projection, set the {\em zone} and {\em hemisphere}
// parameters and pass this projection to the orthorectification filter.
//
......@@ -161,7 +161,7 @@ int main( int argc, char* argv[] )
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
......@@ -180,11 +180,10 @@ int main( int argc, char* argv[] )
// orthoRectifFilter->SetInput(changeInfo->GetOutput());
// Software Guide : BeginCodeSnippet
typedef otb::PerBandVectorImageFilter<VectorImageType, VectorImageType, OrthoRectifFilterType> PerBandFilterType;
PerBandFilterType::Pointer perBandFilter=PerBandFilterType::New();
perBandFilter->SetFilter(orthoRectifFilter);
// perBandFilter->SetInput(changeInfo->GetOutput());
perBandFilter->SetInput(reader->GetOutput());
// Software Guide : EndCodeSnippet
......@@ -233,7 +232,6 @@ int main( int argc, char* argv[] )
// Software Guide : BeginCodeSnippet
// writer->SetInput(orthoRectifFilter->GetOutput());
writer->SetInput(perBandFilter->GetOutput());
writer->SetTilingStreamDivisions();
......
......@@ -368,9 +368,7 @@ int main( int argc, char *argv[] )
// you find a good compromise on the time it takes to compute one evaluation
// of the Metric. Note that it is not useful to have very fast evaluations
// of the Metric if the noise in their values results in more iterations
// being required by the optimizer to converge. You must then study the
// behavior of the metric values as the iterations progress, just as
// illustrated in section~\ref{sec:MonitoringImageRegistration}.
// being required by the optimizer to converge.
//
// \index{itk::Mutual\-Information\-Image\-To\-Image\-Metric!SetNumberOfSpatialSamples()}
// \index{itk::Mutual\-Information\-Image\-To\-Image\-Metric!Trade-offs}
......
0% Loading or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment