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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkResampleImageTest.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 <iostream>
#include "itkAffineTransform.h"
#include "itkImage.h"
#include "itkImageRegionIterator.h"
#include "itkResampleImageFilter.h"
#include "itkImageRegionIteratorWithIndex.h"
#include "itkLinearInterpolateImageFunction.h"
int itkResampleImageTest(int, char* [] )
{
const unsigned int NDimensions = 2;
typedef float PixelType;
typedef itk::Image<PixelType, NDimensions> ImageType;
typedef ImageType::IndexType ImageIndexType;
typedef ImageType::Pointer ImagePointerType;
typedef ImageType::RegionType ImageRegionType;
typedef ImageType::SizeType ImageSizeType;
typedef double CoordRepType;
typedef itk::AffineTransform<CoordRepType,NDimensions> AffineTransformType;
typedef itk::LinearInterpolateImageFunction<ImageType,CoordRepType> InterpolatorType;
// Create and configure an image
ImagePointerType image = ImageType::New();
ImageIndexType index = {{0, 0}};
ImageSizeType size = {{18, 12}};
ImageRegionType region;
region.SetSize ( size );
region.SetIndex( index );
image->SetLargestPossibleRegion( region );
image->SetBufferedRegion( region );
image->Allocate();
// Fill image with a ramp
itk::ImageRegionIteratorWithIndex<ImageType> iter(image, region);
PixelType value;
for (iter.GoToBegin(); !iter.IsAtEnd(); ++iter)
{
index = iter.GetIndex();
value = index[0] + index[1];
iter.Set(value);
}
// Create an affine transformation
AffineTransformType::Pointer aff = AffineTransformType::New();
aff->Scale(0.5);
// Create a linear interpolation image function
InterpolatorType::Pointer interp = InterpolatorType::New();
interp->SetInputImage(image);
// Create and configure a resampling filter
itk::ResampleImageFilter< ImageType, ImageType >::Pointer resample;
resample = itk::ResampleImageFilter< ImageType, ImageType >::New();
resample->SetInput(image);
resample->SetSize(size);
resample->SetTransform(aff);
resample->SetInterpolator(interp);
index.Fill( 0 );
resample->SetOutputStartIndex( index );
ImageType::PointType origin;
origin.Fill( 0.0 );
resample->SetOutputOrigin( origin );
ImageType::SpacingType spacing;
spacing.Fill( 1.0 );
resample->SetOutputSpacing( spacing );
// Run the resampling filter
resample->Update();
// Check if desired results were obtained
bool passed = true;
ImageType::RegionType region2;
region2 = resample->GetOutput()->GetRequestedRegion();
itk::ImageRegionIteratorWithIndex<ImageType>
iter2(resample->GetOutput(), region2);
PixelType pixval;
const double tolerance = 1e-30;
for (iter2.GoToBegin(); !iter2.IsAtEnd(); ++iter2)
{
index = iter2.GetIndex();
value = iter2.Get();
pixval = value;
PixelType expectedValue = static_cast<PixelType>( (index[0] + index[1]) / 2.0 );
if ( vcl_fabs( expectedValue - pixval ) > tolerance )
{
std::cout << "Error in resampled image: Pixel " << index
<< "value = " << value << " "
<< "pixval = " << pixval << " "
<< "expected = " << expectedValue << std::endl;
passed = false;
}
}
// Report success or failure
if (!passed)
{
std::cout << "Resampling test failed" << std::endl;
return EXIT_FAILURE;
}
// Exercise other member functions
resample->Print( std::cout );
std::cout << "Transform: " << resample->GetTransform() << std::endl;
std::cout << "Interpolator: " << resample->GetInterpolator() << std::endl;
std::cout << "Size: " << resample->GetSize() << std::endl;
std::cout << "DefaultPixelValue: " << resample->GetDefaultPixelValue() << std::endl;
std::cout << "OutputOrigin: " << resample->GetOutputOrigin() << std::endl;
std::cout << "OutputSpacing: " << resample->GetOutputSpacing() << std::endl;
std::cout << "OutputStartIndex: " << resample->GetOutputStartIndex() << std::endl;
// Exercise error handling
try
{
std::cout << "Setting interpolator to NULL" << std::endl;
passed = false;
resample->SetInterpolator( NULL );
resample->Update();
}
catch( itk::ExceptionObject& err )
{
std::cout << err << std::endl;
passed = true;
resample->ResetPipeline();
resample->SetInterpolator( interp );
}
if (!passed) {
std::cout << "Resampling test failed" << std::endl;
return EXIT_FAILURE;
}
std::cout << "Test passed." << std::endl;
return EXIT_SUCCESS;
}
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