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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#include <iostream>
#include "itkAffineTransform.h"
#include "itkResampleImageFilter.h"
#include "itkImageFileWriter.h"
#include "itkMath.h"
#include "itkTestingMacros.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 =
itk::ResampleImageFilter< ImageType, ImageType >::New();
EXERCISE_BASIC_OBJECT_METHODS( resample, ResampleImageFilter, ImageToImageFilter );
resample->SetInput(image);
TEST_SET_GET_VALUE( image, resample->GetInput() );
resample->SetSize(size);
TEST_SET_GET_VALUE( size, resample->GetSize() );
resample->SetTransform(aff);
TEST_SET_GET_VALUE( aff, resample->GetTransform() );
resample->SetInterpolator(interp);
TEST_SET_GET_VALUE( interp, resample->GetInterpolator() );
index.Fill( 0 );
resample->SetOutputStartIndex( index );
TEST_SET_GET_VALUE( index, resample->GetOutputStartIndex() );
ImageType::PointType origin;
origin.Fill( 0.0 );
resample->SetOutputOrigin( origin );
TEST_SET_GET_VALUE( origin, resample->GetOutputOrigin() );
ImageType::SpacingType spacing;
spacing.Fill( 1.0 );
resample->SetOutputSpacing( spacing );
TEST_SET_GET_VALUE( spacing, resample->GetOutputSpacing() );
// 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 ( !itk::Math::FloatAlmostEqual( expectedValue, pixval, 10, 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 error handling
try
{
std::cout << "Setting interpolator to ITK_NULLPTR" << std::endl;
passed = false;
resample->SetInterpolator( ITK_NULLPTR );
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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