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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkScalarImageToHistogramGeneratorTest.cxx,v $
Language: C++
Date: $Date: 2009-08-08 20:20:56 $
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 "itkScalarImageToHistogramGenerator.h"
#include "itkImage.h"
#include "itkImageRegionIteratorWithIndex.h"
int itkScalarImageToHistogramGeneratorTest( int , char * [] )
{
{
typedef unsigned long PixelType;
const unsigned int imageSize=256;
const unsigned int Dimension = 2;
typedef itk::Image< PixelType, Dimension > ImageType;
ImageType::Pointer image = ImageType::New();
ImageType::RegionType region;
ImageType::SizeType size;
ImageType::IndexType start;
size[0] = imageSize;
size[1] = imageSize;
start[0] = 0;
start[1] = 0;
region.SetIndex( start );
region.SetSize( size );
image->SetRegions( region );
image->Allocate();
// Now fill up the image will all the combinations of
// values from 0-imageSize.
itk::ImageRegionIteratorWithIndex< ImageType > it( image, region );
it.GoToBegin();
while( !it.IsAtEnd() )
{
it.Set( it.GetIndex()[0] );
++it;
}
typedef itk::Statistics::ScalarImageToHistogramGenerator<
ImageType
> HistogramGeneratorType;
HistogramGeneratorType::Pointer histogramGenerator = HistogramGeneratorType::New();
histogramGenerator->SetInput( image );
histogramGenerator->SetNumberOfBins( imageSize );
histogramGenerator->SetMarginalScale( 10.0 );
histogramGenerator->Compute();
typedef HistogramGeneratorType::HistogramType HistogramType;
const HistogramType * histogram = histogramGenerator->GetOutput();
const unsigned int histogramSize = histogram->Size();
std::cout << "Histogram size " << histogramSize << std::endl;
const unsigned int channel = 0; // the only channel
for( unsigned int bin=0; bin < histogramSize; bin++ )
{
if( histogram->GetFrequency( bin, channel ) != imageSize )
{
std::cerr << "Error in bin= " << bin << " channel = " << channel << std::endl;
std::cerr << "Frequency was= " << histogram->GetFrequency( bin, channel ) << " Instead of the expected " << imageSize << std::endl;
return EXIT_FAILURE;
}
}
}
{
const unsigned int NumberOfBins = 4;
typedef unsigned long PixelType;
// NOTE : it is not uncommon to have a 3D image with more than 4096 * 4096
// voxels in the background (i.e. 0'th histogram bin), and this causes an
// overflow event
const unsigned int imageSize=4096+NumberOfBins;
// Note 4096^2 = 16777216, which is greater than the number that can be
// accurately incremented by a floating point number.
//const unsigned int imageSize=406+NumberOfBins; // Note 4096^2 =
//16777216, which is greater than the number that can be accurately
//incremented by a floating point number.
const unsigned int Dimension = 2;
typedef itk::Image< PixelType, Dimension > ImageType;
ImageType::Pointer image = ImageType::New();
ImageType::RegionType region;
ImageType::SizeType size;
ImageType::IndexType start;
size[0] = imageSize;
size[1] = imageSize;
start[0] = 0;
start[1] = 0;
region.SetIndex( start );
region.SetSize( size );
image->SetRegions( region );
image->Allocate();
// Now fill up the image will all the combinations of
// values from 0-imageSize.
itk::ImageRegionIteratorWithIndex< ImageType > it( image, region );
it.GoToBegin();
for(unsigned int temp=0;temp<NumberOfBins;temp++)
{
it.Set((temp+1)*1000); //Make it have a range
++it;
}
while( !it.IsAtEnd() )
{
it.Set( 0 );
++it;
}
typedef itk::Statistics::ScalarImageToHistogramGenerator<
ImageType
> HistogramGeneratorType;
HistogramGeneratorType::Pointer histogramGenerator = HistogramGeneratorType::New();
histogramGenerator->SetInput( image );
histogramGenerator->SetNumberOfBins( 4 );
histogramGenerator->SetMarginalScale( 10.0 );
try
{
histogramGenerator->Compute();
std::cout << "Failed to catch expected exception about saturation of counters" << std::endl;
}
catch( itk::ExceptionObject & excp )
{
std::cout << "Get Expected Exception" << std::endl;
std::cout << excp << std::endl;
}
typedef HistogramGeneratorType::HistogramType HistogramType;
const HistogramType * histogram = histogramGenerator->GetOutput();
const unsigned int histogramSize = histogram->Size();
std::cout << "Histogram size " << histogramSize << std::endl;
unsigned int channel = 0;
int status = EXIT_SUCCESS;
for( unsigned int bin=1; bin < histogramSize; bin++ )
{
if( histogram->GetFrequency( bin, channel ) != 1 )
{
std::cerr << "Error in bin= " << bin << " channel = " << channel << std::endl;
std::cerr << "Frequency was= " << (unsigned int)histogram->GetFrequency( bin, channel ) << " Instead of the expected " << 1 << std::endl;
status = EXIT_FAILURE;
}
}
return status;
}
return EXIT_SUCCESS;
}
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