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/*=========================================================================
*
* Copyright NumFOCUS
*
* 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
*
* https://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 "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkChangeInformationImageFilter.h"
#include "itkResampleImageFilter.h"
#include "itkTestingMacros.h"
/* Further testing of itkResampleImageFilter
* Test that ResampleImageFilter can handle a ReferenceImage with
* meta information that differs from the input imake.
* Output is compared with baseline image using the cmake itk_add_test
* '--compare' option.
*/
int
itkResampleImageTest3(int argc, char * argv[])
{
if (argc < 3)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv);
std::cerr << " inputImage resampledImage" << std::endl;
return EXIT_FAILURE;
}
constexpr unsigned int VDimension = 2;
using PixelType = unsigned char;
using ImageType = itk::Image<PixelType, VDimension>;
using CoordRepType = double;
using TransformType = itk::IdentityTransform<CoordRepType, VDimension>;
using InterpolatorType = itk::LinearInterpolateImageFunction<ImageType, CoordRepType>;
using ReaderType = itk::ImageFileReader<ImageType>;
using WriterType = itk::ImageFileWriter<ImageType>;
using ChangeInfoType = itk::ChangeInformationImageFilter<ImageType>;
using ResampleFilterType = itk::ResampleImageFilter<ImageType, ImageType>;
auto reader1 = ReaderType::New();
reader1->SetFileName(argv[1]);
reader1->Update();
// Create an identity transformation
auto identityTransform = TransformType::New();
// Create a linear interpolation image function
auto interpolator = InterpolatorType::New();
// Create an image with flipped directions
ImageType::DirectionType direction;
direction[0][0] = -1.0;
direction[0][1] = 0.0;
direction[1][0] = 0.0;
direction[1][1] = -1.0;
ImageType::RegionType inputRegion = reader1->GetOutput()->GetLargestPossibleRegion();
ImageType::PointType origin;
origin[0] = inputRegion.GetSize()[0];
origin[1] = inputRegion.GetSize()[1];
auto changeInfo = ChangeInfoType::New();
changeInfo->ChangeDirectionOn();
changeInfo->SetOutputDirection(direction);
changeInfo->ChangeOriginOn();
changeInfo->SetOutputOrigin(origin);
changeInfo->SetInput(reader1->GetOutput());
// Create and configure a resampling filter
auto resample = ResampleFilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(resample, ResampleImageFilter, ImageToImageFilter);
resample->SetInput(reader1->GetOutput());
ITK_TEST_SET_GET_VALUE(reader1->GetOutput(), resample->GetInput());
resample->SetReferenceImage(changeInfo->GetOutput());
ITK_TEST_SET_GET_VALUE(changeInfo->GetOutput(), resample->GetReferenceImage());
resample->UseReferenceImageOn();
ITK_TEST_EXPECT_TRUE(resample->GetUseReferenceImage());
resample->SetTransform(identityTransform);
ITK_TEST_SET_GET_VALUE(identityTransform, resample->GetTransform());
resample->SetInterpolator(interpolator);
ITK_TEST_SET_GET_VALUE(interpolator, resample->GetInterpolator());
auto writer1 = WriterType::New();
writer1->SetFileName(argv[2]);
writer1->SetInput(resample->GetOutput());
ITK_TRY_EXPECT_NO_EXCEPTION(writer1->Update());
std::cout << "Test passed." << std::endl;
return EXIT_SUCCESS;
}
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