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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkGradientAnisotropicDiffusionImageFilterTest2.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 <fstream>
#include "itkCastImageFilter.h"
#include "itkGradientAnisotropicDiffusionImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkChangeInformationImageFilter.h"
#include "itkDifferenceImageFilter.h"
typedef float PixelType;
typedef itk::Image<PixelType, 2> myFloatImage;
typedef itk::Image<PixelType, 2> ImageType;
typedef ImageType::Pointer ImagePointer;
namespace {
// compare two images with an intensity tolerance
bool SameImage(ImagePointer testImage, ImagePointer baselineImage)
{
PixelType intensityTolerance = .001;
int radiusTolerance = 0;
unsigned long numberOfPixelTolerance = 0;
typedef itk::DifferenceImageFilter<ImageType,ImageType> DiffType;
DiffType::Pointer diff = DiffType::New();
diff->SetValidInput(baselineImage);
diff->SetTestInput(testImage);
diff->SetDifferenceThreshold( intensityTolerance );
diff->SetToleranceRadius( radiusTolerance );
diff->UpdateLargestPossibleRegion();
unsigned long status = diff->GetNumberOfPixelsWithDifferences();
if (status > numberOfPixelTolerance)
{
std::cout << "Number of Different Pixels: " << status << std::endl;
return false;
}
return true;
}
}
int itkGradientAnisotropicDiffusionImageFilterTest2(int ac, char* av[] )
{
if(ac < 3)
{
std::cerr << "Usage: " << av[0] << " InputImage OutputImage\n";
return -1;
}
itk::ImageFileReader<myFloatImage>::Pointer input
= itk::ImageFileReader<myFloatImage>::New();
input->SetFileName(av[1]);
// Create a filter
itk::GradientAnisotropicDiffusionImageFilter<myFloatImage, myFloatImage>
::Pointer filter
= itk::GradientAnisotropicDiffusionImageFilter<myFloatImage, myFloatImage>
::New();
filter->SetNumberOfIterations(10);
filter->SetConductanceParameter(1.0f);
filter->SetTimeStep(0.125f);
filter->SetInput(input->GetOutput());
typedef itk::Image<unsigned char, 2> myUCharImage;
itk::CastImageFilter<myFloatImage, myUCharImage>::Pointer caster
= itk::CastImageFilter<myFloatImage, myUCharImage>::New();
caster->SetInput(filter->GetOutput());
try
{
caster->Update();
}
catch (itk::ExceptionObject& e)
{
std::cerr << "Exception detected: " << e.GetDescription();
return -1;
}
// Generate test image
itk::ImageFileWriter<myUCharImage>::Pointer writer;
writer = itk::ImageFileWriter<myUCharImage>::New();
writer->SetInput( caster->GetOutput() );
std::cout << "Writing " << av[2] << std::endl;
writer->SetFileName( av[2] );
writer->Update();
myFloatImage::Pointer normalImage = filter->GetOutput();
normalImage->DisconnectPipeline();
// We now set up testing when the image spacing is not trivial 1 and
// perform diffusion with spacing on
typedef itk::ChangeInformationImageFilter<myFloatImage> ChangeInformationType;
ChangeInformationType::Pointer changeInfo = ChangeInformationType::New();
changeInfo->SetInput( input->GetOutput() );
myFloatImage::SpacingType spacing;
spacing[0] = input->GetOutput()->GetSpacing()[0]*100.0;
spacing[1] = input->GetOutput()->GetSpacing()[1]*100.0;
changeInfo->SetOutputSpacing( spacing );
changeInfo->ChangeSpacingOn();
filter->SetInput( changeInfo->GetOutput() );
filter->UseImageSpacingOn();
// need to adjust the time step to the number of iterations equates
// to the same operation
filter->SetTimeStep( 100.0 * filter->GetTimeStep() );
try
{
filter->Update();
}
catch (itk::ExceptionObject& e)
{
std::cerr << "Exception detected: " << e.GetDescription();
return EXIT_FAILURE;
}
// the results with spacing should be about the same as without spacing
if ( !SameImage( filter->GetOutput(), normalImage ) )
{
std::cout << "Results varied with spacing enabled!" << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
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