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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkImageToHistogramFilterTest2.cxx
Language: C++
Date: $Date$
Version: $Revision$
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 "itkImageToHistogramFilter.h"
#include "itkImage.h"
#include "itkRGBPixel.h"
#include "itkImageFileReader.h"
int itkImageToHistogramFilterTest2( int argc, char * argv [] )
{
if( argc < 3 )
{
std::cerr << "Missing command line arguments" << std::endl;
std::cerr << "Usage : " << argv[0] << " inputRGBImageFileName outputHistogramFile.txt" << std::endl;
return EXIT_FAILURE;
}
typedef unsigned char PixelComponentType;
typedef itk::RGBPixel< PixelComponentType > RGBPixelType;
const unsigned int Dimension = 2;
typedef itk::Image< RGBPixelType, Dimension > RGBImageType;
const unsigned int MeasurementVectorSize = 3; // RGB
typedef itk::ImageFileReader< RGBImageType > 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::Statistics::ImageToHistogramFilter< RGBImageType > HistogramFilterType;
HistogramFilterType::Pointer histogramFilter = HistogramFilterType::New();
typedef HistogramFilterType::HistogramMeasurementVectorType HistogramMeasurementVectorType;
// Setting bin mins and max
HistogramMeasurementVectorType histogramBinMinimum( MeasurementVectorSize );
histogramBinMinimum[0] = -0.5;
histogramBinMinimum[1] = -0.5;
histogramBinMinimum[2] = -0.5;
HistogramMeasurementVectorType histogramBinMaximum( MeasurementVectorSize );
histogramBinMaximum[0] = 255.5;
histogramBinMaximum[1] = 255.5;
histogramBinMaximum[2] = 255.5;
histogramFilter->SetHistogramBinMinimum( histogramBinMinimum );
histogramFilter->SetHistogramBinMaximum( histogramBinMaximum );
typedef HistogramFilterType::HistogramSizeType SizeType;
SizeType size( MeasurementVectorSize );
size[0] = 255; // number of bins for the Red channel
size[1] = 1; // number of bins for the Green channel
size[2] = 1; // number of bins for the Blue channel
histogramFilter->SetHistogramSize( size );
histogramFilter->SetMarginalScale( 10.0 );
histogramFilter->SetInput( reader->GetOutput() );
try
{
histogramFilter->Update();
}
catch( itk::ExceptionObject & excp )
{
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
typedef HistogramFilterType::HistogramType HistogramType;
const HistogramType * histogram = histogramFilter->GetOutput();
std::ofstream outputFile;
outputFile.open( argv[2] );
const unsigned int histogramSize = histogram->Size();
outputFile << "Histogram size " << histogramSize << std::endl;
unsigned int channel = 0; // red channel
outputFile << "Histogram of the red component" << std::endl;
for( unsigned int bin=0; bin < histogramSize; bin++ )
{
outputFile << "bin = " << bin << " frequency = ";
outputFile << histogram->GetFrequency( bin, channel ) << std::endl;
}
size[0] = 1; // number of bins for the Red channel
size[1] = 255; // number of bins for the Green channel
size[2] = 1; // number of bins for the Blue channel
histogramFilter->SetHistogramSize( size );
try
{
histogramFilter->Update();
}
catch( itk::ExceptionObject & excp )
{
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
channel = 1; // green channel
outputFile << "Histogram of the green component" << std::endl;
for( unsigned int bin=0; bin < histogramSize; bin++ )
{
outputFile << "bin = " << bin << " frequency = ";
outputFile << histogram->GetFrequency( bin, channel ) << std::endl;
}
size[0] = 1; // number of bins for the Red channel
size[1] = 1; // number of bins for the Green channel
size[2] = 255; // number of bins for the Blue channel
histogramFilter->SetHistogramSize( size );
try
{
histogramFilter->Update();
}
catch( itk::ExceptionObject & excp )
{
std::cerr << excp << std::endl;
return EXIT_FAILURE;
}
channel = 2; // blue channel
outputFile << "Histogram of the blue component" << std::endl;
for( unsigned int bin=0; bin < histogramSize; bin++ )
{
outputFile << "bin = " << bin << " frequency = ";
outputFile << histogram->GetFrequency( bin, channel ) << std::endl;
}
outputFile.close();
return EXIT_SUCCESS;
}
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