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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkScalarImageKmeansImageFilterTest.cxx,v $
Language: C++
Date: $Date: 2004-12-29 20:37:14 $
Version: $Revision: 1.5 $
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#if defined(_MSC_VER)
#pragma warning ( disable : 4786 )
#endif
#include "itkImage.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkScalarImageKmeansImageFilter.h"
#include "itkRelabelComponentImageFilter.h"
int itkScalarImageKmeansImageFilterTest(int argc, char* argv [] )
{
if( argc < 5 )
{
std::cerr << "Usage: " << std::endl;
std::cerr << argv[0];
std::cerr << " inputScalarImage outputLabeledImage numberOfClasses mean1 mean2... meanN " << std::endl;
return EXIT_FAILURE;
}
typedef unsigned char PixelType;
const unsigned int Dimension = 2;
typedef itk::Image<PixelType, Dimension > ImageType;
typedef itk::ImageFileReader< ImageType > ReaderType;
ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName( argv[1] );
try
{
reader->Update();
}
catch( itk::ExceptionObject & excp )
{
std::cerr << "Problem encoutered while reading image file : " << argv[1] << std::endl;
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
typedef itk::ScalarImageKmeansImageFilter< ImageType > KMeansFilterType;
KMeansFilterType::Pointer kmeansFilter = KMeansFilterType::New();
kmeansFilter->SetInput( reader->GetOutput() );
kmeansFilter->SetUseNonContiguousLabels( argv[3] );
const unsigned int numberOfInitialClasses = atoi( argv[4] );
const unsigned int numberOfArgumentsBeforeMeans = 5;
if( static_cast<unsigned int>(argc) < numberOfInitialClasses + numberOfArgumentsBeforeMeans )
{
std::cerr << "Error: " << std::endl;
std::cerr << numberOfInitialClasses << " classes has been specified ";
std::cerr << "but no enough means have been provided in the command ";
std::cerr << "line arguments " << std::endl;
return EXIT_FAILURE;
}
for(unsigned k=0; k<numberOfInitialClasses; k++)
{
kmeansFilter->AddClassWithInitialMean( atof( argv[k+numberOfArgumentsBeforeMeans] ) );
}
try
{
kmeansFilter->Update();
}
catch( itk::ExceptionObject & excp )
{
std::cerr << "Problem encoutered while classifying the image " << std::endl;
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
KMeansFilterType::ParametersType estimatedMeans = kmeansFilter->GetFinalMeans();
const unsigned int numberOfClasses = estimatedMeans.Size();
for ( unsigned int i = 0 ; i < numberOfClasses ; ++i )
{
std::cout << "cluster[" << i << "] ";
std::cout << " estimated mean : " << estimatedMeans[i] << std::endl;
}
typedef KMeansFilterType::OutputImageType OutputImageType;
typedef itk::RelabelComponentImageFilter<
OutputImageType,
OutputImageType > RelabelFilterType;
RelabelFilterType::Pointer relabeler = RelabelFilterType::New();
relabeler->SetInput( kmeansFilter->GetOutput() );
typedef itk::ImageFileWriter< OutputImageType > WriterType;
WriterType::Pointer writer = WriterType::New();
writer->SetInput( relabeler->GetOutput() );
writer->SetFileName( argv[2] );
try
{
writer->Update();
}
catch( itk::ExceptionObject & excp )
{
std::cerr << "Problem encoutered while writing image file : " << argv[2] << std::endl;
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
typedef std::vector< unsigned long > SizesType;
const SizesType & sizes = relabeler->GetSizeOfObjectsInPixels();
SizesType::const_iterator sizeItr = sizes.begin();
SizesType::const_iterator sizeEnd = sizes.end();
std::cout << "Number of pixels per class " << std::endl;
unsigned int kclass = 0;
while( sizeItr != sizeEnd )
{
std::cout << "Class " << kclass << " = " << *sizeItr << std::endl;
++kclass;
++sizeItr;
}
return EXIT_SUCCESS;
}
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