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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit (ITK)
Module: $RCSfile: itkHistogramMatchingImageFilterTest.cxx,v $
Language: C++
Date: $Date: 2003-09-10 14:30:03 $
Version: $Revision: 1.7 $
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 "itkHistogramMatchingImageFilter.h"
#include "itkImage.h"
#include "itkImageRegionIterator.h"
#include "itkCommand.h"
/**
* This file tests the functionality of the HistogramMatchingImageFilter.
* This test uses artificial data, where we multiply different intensity
* classes by different factors and test whether we can recover the
* reference image.
*/
double refPattern( unsigned long offset )
{
if ( offset < 40 ) { return 5.0; }
if ( offset < 160 ) { return 10.0; }
if ( offset < 200 ) { return 15.0; }
if ( offset < 320 ) { return 20.0; }
return 0.0;
}
double srcPattern( unsigned long offset )
{
if ( offset < 40 ) { return 5.0 * 1.5; }
if ( offset < 160 ) { return 10.0 * 0.9; }
if ( offset < 200 ) { return 15.0 * 1.0; }
if ( offset < 320 ) { return 20.0 * 0.8; }
return 0.0;
}
namespace
{
// The following classe is used to support callbacks
// on the filter in the pipeline that follows later
class ShowProgressObject
{
public:
ShowProgressObject(itk::ProcessObject* o)
{m_Process = o;}
void ShowProgress()
{std::cout << "Progress " << m_Process->GetProgress() << std::endl;}
itk::ProcessObject::Pointer m_Process;
};
}
int itkHistogramMatchingImageFilterTest(int, char* [] )
{
typedef float PixelType;
enum {ImageDimension = 3};
typedef itk::Image<PixelType,ImageDimension> ImageType;
typedef itk::ImageRegionIterator<ImageType> Iterator;
ImageType::SizeType size;
size[0] = 30;
size[1] = 20;
size[2] = 2;
ImageType::RegionType region;
region.SetSize( size );
ImageType::Pointer reference = ImageType::New();
ImageType::Pointer source = ImageType::New();
reference->SetLargestPossibleRegion( region );
reference->SetBufferedRegion( region );
reference->Allocate();
source->SetLargestPossibleRegion( region );
source->SetBufferedRegion( region );
source->Allocate();
Iterator refIter( reference, region );
Iterator srcIter( source, region );
unsigned long counter = 0;
while ( !refIter.IsAtEnd() )
{
refIter.Set( static_cast<PixelType>( refPattern( counter ) ) );
srcIter.Set( static_cast<PixelType>( srcPattern( counter ) ) );
++refIter;
++srcIter;
++counter;
}
typedef itk::HistogramMatchingImageFilter<ImageType,ImageType> FilterType;
FilterType::Pointer filter = FilterType::New();
filter->SetReferenceImage( reference );
filter->SetSourceImage( source );
filter->SetNumberOfHistogramLevels( 50 );
filter->SetNumberOfMatchPoints( 8 );
filter->ThresholdAtMeanIntensityOn();
ShowProgressObject progressWatch(filter);
itk::SimpleMemberCommand<ShowProgressObject>::Pointer command;
command = itk::SimpleMemberCommand<ShowProgressObject>::New();
command->SetCallbackFunction(&progressWatch,
&ShowProgressObject::ShowProgress);
filter->AddObserver(itk::ProgressEvent(), command);
filter->Update();
filter->Print( std::cout );
// Walk the output and compare with reference
Iterator outIter( filter->GetOutput(), region );
refIter.GoToBegin();
bool passed = true;
while( !outIter.IsAtEnd() )
{
PixelType diff = refIter.Get() - outIter.Get();
if ( vnl_math_abs( diff ) > 1 )
{
passed = false;
std::cout << "Test failed at: " << outIter.GetIndex() << " ";
std::cout << "Output value: " << outIter.Get() << " ";
std::cout << "Ref value: " << refIter.Get() << std::endl;
}
++outIter;
++refIter;
}
// Exercise auxiliary functions
std::cout << "Exercise auxiliary functions" << std::endl;
std::cout << filter->GetNumberOfHistogramLevels() << std::endl;
std::cout << filter->GetNumberOfMatchPoints() << std::endl;
std::cout << "Source Histogram: " <<
filter->GetSourceHistogram() << std::endl;
std::cout << "Reference Histogram: " <<
filter->GetReferenceHistogram() << std::endl;
std::cout << "Output Histogram: " <<
filter->GetOutputHistogram() << std::endl;
std::cout << "Threshold At Mean Intensity? ";
std::cout << filter->GetThresholdAtMeanIntensity() << std::endl;
filter->ThresholdAtMeanIntensityOff();
filter->Update();
filter->Print( std::cout );
if ( !passed )
{
std::cout << "Test failed." << std::endl;
return EXIT_FAILURE;
}
std::cout << "Test passed." << std::endl;
return EXIT_SUCCESS;
}
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