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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 "itkFFTConvolutionImageFilter.h"
#include "itkFlipImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkTestingMacros.h"
#include "itkObjectFactoryBase.h"
#include "itkVnlRealToHalfHermitianForwardFFTImageFilter.h"
#include "itkVnlHalfHermitianToRealInverseFFTImageFilter.h"
#if defined(ITK_USE_FFTWD) || defined(ITK_USE_FFTWF)
# include "itkFFTWRealToHalfHermitianForwardFFTImageFilter.h"
# include "itkFFTWHalfHermitianToRealInverseFFTImageFilter.h"
#endif
int
itkFFTConvolutionImageFilterDeltaFunctionTest(int argc, char * argv[])
{
if (argc < 3)
{
std::cout << "Usage: " << itkNameOfTestExecutableMacro(argv) << " kernelImage outputImage sizeGreatestPrimeFactor"
<< std::endl;
return EXIT_FAILURE;
}
constexpr unsigned int ImageDimension = 2;
using PixelType = unsigned char;
using ImageType = itk::Image<PixelType, ImageDimension>;
using ReaderType = itk::ImageFileReader<ImageType>;
// Read kernel image
auto reader = ReaderType::New();
reader->SetFileName(argv[1]);
ITK_TRY_EXPECT_NO_EXCEPTION(reader->Update());
// Set up delta function image
ImageType::RegionType region = reader->GetOutput()->GetLargestPossibleRegion();
auto deltaFunctionImage = ImageType::New();
deltaFunctionImage->SetRegions(region);
deltaFunctionImage->AllocateInitialized();
// Set the middle pixel (rounded up) to 1
ImageType::IndexType middleIndex;
for (unsigned int i = 0; i < ImageDimension; ++i)
{
ImageType::SizeValueType sizeInDimension = region.GetSize()[i];
middleIndex[i] = itk::Math::Floor<ImageType::IndexValueType>(0.5 * sizeInDimension);
}
deltaFunctionImage->SetPixel(middleIndex, 1);
using ConvolutionFilterType = itk::FFTConvolutionImageFilter<ImageType>;
auto convolver = ConvolutionFilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(convolver, FFTConvolutionImageFilter, ConvolutionImageFilterBase);
convolver->SetInput(deltaFunctionImage);
convolver->SetKernelImage(reader->GetOutput());
ConvolutionFilterType::SizeValueType sizeGreatestPrimeFactor = std::stoi(argv[3]);
if (!itk::Math::IsPrime(sizeGreatestPrimeFactor))
{
std::cerr << "A prime number is expected for the greatest prime factor size!" << std::endl;
return EXIT_FAILURE;
}
convolver->SetSizeGreatestPrimeFactor(sizeGreatestPrimeFactor);
ITK_TEST_SET_GET_VALUE(sizeGreatestPrimeFactor, convolver->GetSizeGreatestPrimeFactor());
ITK_TRY_EXPECT_NO_EXCEPTION(convolver->Update());
using WriterType = itk::ImageFileWriter<ImageType>;
auto writer = WriterType::New();
writer->SetFileName(argv[2]);
writer->SetInput(convolver->GetOutput());
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
return EXIT_SUCCESS;
}
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