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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkDiscreteGradientMagnitudeGaussianImageFunctionTest.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 "itkImage.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkImageRegionIterator.h"
#include "itkDiscreteGradientMagnitudeGaussianImageFunction.h"
#include "itkRescaleIntensityImageFilter.h"
template < int VDimension >
int itkDiscreteGradientMagnitudeGaussianImageFunctionTestND( int argc, char* argv[] )
{
// Verify the number of parameters in the command line
if( argc < 4 )
{
std::cerr << "Usage: " << std::endl;
std::cerr << argv[0] << "inputFileName outputFileName sigma (maximum_error) (maximum_kernel_width)" << std::endl;
return EXIT_FAILURE;
}
// Define the dimension of the images
const unsigned int Dimension = VDimension;
typedef float PixelType;
typedef itk::Image<PixelType, Dimension> ImageType;
// Read input
typedef itk::ImageFileReader< ImageType > ReaderType;
typename ReaderType::Pointer reader = ReaderType::New();
reader->SetFileName( argv[1] );
try
{
reader->Update();
}
catch ( itk::ExceptionObject &err)
{
std::cout << "ExceptionObject caught !" << std::endl;
std::cout << err << std::endl;
return EXIT_FAILURE;
}
// Create image for storing result
typename ImageType::Pointer output = ImageType::New();
output->SetSpacing( reader->GetOutput()->GetSpacing() );
output->SetOrigin( reader->GetOutput()->GetOrigin() );
output->SetDirection( reader->GetOutput()->GetDirection() );
output->SetLargestPossibleRegion( reader->GetOutput()->GetLargestPossibleRegion() );
output->SetRequestedRegion( reader->GetOutput()->GetRequestedRegion() );
output->SetBufferedRegion( reader->GetOutput()->GetBufferedRegion() );
output->Allocate();
output->FillBuffer( itk::NumericTraits<PixelType>::Zero );
// Setup operator parameters
double variance = atof( argv[3] );
variance *= variance;
double maxError = 0.001;
unsigned int maxKernelWidth = 100;
if( argc == 5 )
{
maxError = atof( argv[4] );
}
else if( argc > 5 )
{
maxError = atof( argv[4] );
maxKernelWidth = atoi( argv[5] );
}
// Create function
typedef itk::DiscreteGradientMagnitudeGaussianImageFunction< ImageType, PixelType >
DiscreteGradientMagnitudeGaussianFunctionType;
typename DiscreteGradientMagnitudeGaussianFunctionType::Pointer function =
DiscreteGradientMagnitudeGaussianFunctionType::New();
function->SetInputImage( reader->GetOutput() );
function->SetMaximumError( maxError );
function->SetMaximumKernelWidth( maxKernelWidth );
function->SetVariance( variance );
function->SetNormalizeAcrossScale( true );
function->SetUseImageSpacing( true );
function->SetInterpolationMode( DiscreteGradientMagnitudeGaussianFunctionType::NearestNeighbourInterpolation );
function->Initialize();
// Step over input and output images
typedef itk::ImageRegionConstIterator< ImageType > ConstIteratorType;
typedef itk::ImageRegionIterator< ImageType > IteratorType;
ConstIteratorType it ( reader->GetOutput(), reader->GetOutput()->GetRequestedRegion() );
it.GoToBegin();
IteratorType out( output, output->GetRequestedRegion() );
out.GoToBegin();
typedef typename DiscreteGradientMagnitudeGaussianFunctionType::PointType PointType;
PointType point;
typedef typename DiscreteGradientMagnitudeGaussianFunctionType::ContinuousIndexType ContinuousIndexType;
ContinuousIndexType cindex;
const unsigned long nop = reader->GetOutput()->GetRequestedRegion().GetNumberOfPixels();
unsigned long pixelNumber = 0;
while( !it.IsAtEnd() )
{
// To test all available Evaluate functions, we split it in three parts.
if ( pixelNumber < nop / 3 )
{
out.Set( function->EvaluateAtIndex( it.GetIndex() ) );
}
else if ( pixelNumber < nop * 2 / 3 )
{
reader->GetOutput()->TransformIndexToPhysicalPoint( it.GetIndex(), point );
out.Set( function->Evaluate( point ) );
}
else
{
reader->GetOutput()->TransformIndexToPhysicalPoint( it.GetIndex(), point );
reader->GetOutput()->TransformPhysicalPointToContinuousIndex( point, cindex );
out.Set( function->EvaluateAtContinuousIndex( cindex ) );
}
++it;
++out;
++pixelNumber;
}
// Rescale output
typedef unsigned char OutputPixelType;
typedef itk::Image< OutputPixelType, Dimension > OutputImageType;
typedef itk::RescaleIntensityImageFilter< ImageType, OutputImageType > RescaleType;
typename RescaleType::Pointer rescaler = RescaleType::New();
rescaler->SetInput( output );
rescaler->SetOutputMinimum( itk::NumericTraits<OutputPixelType>::min() );
rescaler->SetOutputMaximum( itk::NumericTraits<OutputPixelType>::max() );
// Write output
typedef itk::ImageFileWriter< OutputImageType > WriterType;
typename WriterType::Pointer writer = WriterType::New();
writer->SetFileName( argv[2] );
writer->SetInput( rescaler->GetOutput() );
try
{
writer->Update();
}
catch ( itk::ExceptionObject &err )
{
std::cout << "ExceptionObject caught !" << std::endl;
std::cout << err << std::endl;
return EXIT_FAILURE;
}
// Test some functions
typedef typename DiscreteGradientMagnitudeGaussianFunctionType::VarianceArrayType VarianceArrayType;
VarianceArrayType varReturned = function->GetVariance();
for ( unsigned int i = 0; i < Dimension; ++i )
{
if ( varReturned[ i ] != variance )
{
std::cout << "GetVariance()[" << i << "] failed. Expected: "
<< variance
<< " but got: "
<< varReturned[ i ] << std::endl;
return EXIT_FAILURE;
}
}
if ( function->GetMaximumError() != maxError )
{
std::cout << "GetMaximumError failed. Expected: "
<< maxError
<< " but got: "
<< function->GetMaximumError() << std::endl;
return EXIT_FAILURE;
}
if ( function->GetNormalizeAcrossScale() != true )
{
std::cout << "GetNormalizeAcrossScale failed. Expected: "
<< true
<< " but got: "
<< function->GetNormalizeAcrossScale() << std::endl;
return EXIT_FAILURE;
}
if ( function->GetUseImageSpacing() != true )
{
std::cout << "GetUseImageSpacing failed. Expected: "
<< true
<< " but got: "
<< function->GetUseImageSpacing() << std::endl;
return EXIT_FAILURE;
}
if ( function->GetMaximumKernelWidth() != maxKernelWidth )
{
std::cout << "GetMaximumKernelWidth failed. Expected: "
<< maxKernelWidth
<< " but got: "
<< function->GetMaximumKernelWidth() << std::endl;
return EXIT_FAILURE;
}
if ( function->GetInterpolationMode() != DiscreteGradientMagnitudeGaussianFunctionType::NearestNeighbourInterpolation )
{
std::cout << "GetInterpolationMode failed. Expected: "
<< DiscreteGradientMagnitudeGaussianFunctionType::NearestNeighbourInterpolation
<< " but got: "
<< function->GetInterpolationMode() << std::endl;
return EXIT_FAILURE;
}
// Call PrintSelf.
function->Print( std::cout );
return EXIT_SUCCESS;
}
int itkDiscreteGradientMagnitudeGaussianImageFunctionTest(int argc, char* argv[] )
{
return itkDiscreteGradientMagnitudeGaussianImageFunctionTestND< 2 >( argc, argv );
}
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