]> Creatis software - cpPlugins.git/blobdiff - appli/examples/example_ImageGaussianModelEstimator.cxx
Project cleanup towards version 0.1.0
[cpPlugins.git] / appli / examples / example_ImageGaussianModelEstimator.cxx
diff --git a/appli/examples/example_ImageGaussianModelEstimator.cxx b/appli/examples/example_ImageGaussianModelEstimator.cxx
deleted file mode 100644 (file)
index 0187f2a..0000000
+++ /dev/null
@@ -1,85 +0,0 @@
-#include <cstdlib>
-#include <iostream>
-#include <string>
-
-#include <itkImage.h>
-#include <itkImageFileReader.h>
-#include <itkImageRegionConstIterator.h>
-#include <itkMatrix.h>
-#include <itkRGBPixel.h>
-#include <itkVector.h>
-
-#include <cpPlugins/Extensions/Algorithms/IterativeGaussianModelEstimator.h>
-
-// -------------------------------------------------------------------------
-const unsigned int Dim = 2;
-typedef double                    TScalar;
-typedef unsigned char             TChannel;
-typedef itk::RGBPixel< TChannel > TPixel;
-typedef itk::Image< TPixel, Dim > TImage;
-
-// -------------------------------------------------------------------------
-int main( int argc, char* argv[] )
-{
-  if( argc < 2 )
-  {
-    std::cerr
-      << "Usage: " << argv[ 0 ]
-      << " input_image" << std::endl;
-    return( 1 );
-
-  } // fi
-  std::string input_image_file = argv[ 1 ];
-
-  // Read image
-  itk::ImageFileReader< TImage >::Pointer reader =
-    itk::ImageFileReader< TImage >::New( );
-  reader->SetFileName( input_image_file );
-  try
-  {
-    reader->Update( );
-  }
-  catch( itk::ExceptionObject& err )
-  {
-    std::cerr << "Error caught: " << err << std::endl;
-    return( 1 );
-
-  } // yrt
-  TImage::ConstPointer input_image = reader->GetOutput( );
-
-  // Compute gaussian model
-  typedef cpPlugins::Extensions::Algorithms::IterativeGaussianModelEstimator< TScalar, 3 > TEstimator;
-
-  TEstimator::Pointer estimator = TEstimator::New( );
-  estimator->Clear( );
-
-  itk::ImageRegionConstIterator< TImage > it(
-    input_image,
-    input_image->GetRequestedRegion( )
-    );
-  for( it.GoToBegin( ); !it.IsAtEnd( ); ++it )
-  {
-    estimator->AddSample(
-      TScalar( it.Get( ).GetRed( ) ),
-      TScalar( it.Get( ).GetGreen( ) ),
-      TScalar( it.Get( ).GetBlue( ) )
-      );
-
-  } // rof
-
-  itk::Vector< TScalar, 3 > mean;
-  itk::Matrix< TScalar, 3, 3 > cova;
-
-  estimator->GetModel( mean, cova );
-  std::cout
-    << "Covariance = " << std::endl << cova << std::endl;
-  std::cout
-    << "Inverse covariance = "
-    << std::endl << cova.GetInverse( ) << std::endl;
-  std::cout
-    << "Mean = " << std::endl << mean << std::endl;
-
-  return( 0 );
-}
-
-// eof - $RCSfile$