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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.
*
*=========================================================================*/
/** Example illustrating use of FFTWComplexToComplexFFTImageFilter
*
* \author Simon K. Warfield simon.warfield\@childrens.harvard.edu
*
* \note Attribution Notice. This research work was made possible by Grant
* Number R01 RR021885 (PI Simon K. Warfield, Ph.D.) from
* the National Center for Research Resources (NCRR), a component of the
* National Institutes of Health (NIH). Its contents are solely the
* responsibility of the authors and do not necessarily represent the
* official view of NCRR or NIH.
*
* Contributed to the Insight Journal paper:
* https://insight-journal.org/midas/handle.php?handle=1926/326
*
*/
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkForwardFFTImageFilter.h"
#include "itkInverseFFTImageFilter.h"
#include "itkObjectFactoryBase.h"
#include "itkFFTWComplexToComplexFFTImageFilter.h"
#include "itkFFTWForwardFFTImageFilter.h"
#include "itkFFTWInverseFFTImageFilter.h"
#include "itkTestingMacros.h"
template <typename TPixel, unsigned int VDimension>
int
transformImage(const char * inputImageFileName, const char * outputImageFileName)
{
using RealPixelType = TPixel;
using ComplexPixelType = std::complex<RealPixelType>;
const unsigned int Dimension = VDimension;
using RealImageType = itk::Image<RealPixelType, Dimension>;
using ComplexImageType = itk::Image<ComplexPixelType, Dimension>;
using ReaderType = itk::ImageFileReader<RealImageType>;
auto reader = ReaderType::New();
reader->SetFileName(inputImageFileName);
using ForwardFilterType = itk::FFTWForwardFFTImageFilter<RealImageType, ComplexImageType>;
auto forwardFilter = ForwardFilterType::New();
forwardFilter->SetInput(reader->GetOutput());
using ComplexFilterType = itk::FFTWComplexToComplexFFTImageFilter<ComplexImageType>;
auto inverseComplexFilter = ComplexFilterType::New();
inverseComplexFilter->SetInput(forwardFilter->GetOutput());
inverseComplexFilter->SetTransformDirection(ComplexFilterType::TransformDirectionEnum::INVERSE);
auto forwardComplexFilter = ComplexFilterType::New();
forwardComplexFilter->SetInput(inverseComplexFilter->GetOutput());
forwardComplexFilter->SetTransformDirection(ComplexFilterType::TransformDirectionEnum::FORWARD);
// This tests the CanUseDestructiveAlgorithm state with the FFTW version.
forwardComplexFilter->ReleaseDataFlagOn();
using InverseFilterType = itk::FFTWInverseFFTImageFilter<ComplexImageType, RealImageType>;
auto inverseFilter = InverseFilterType::New();
inverseFilter->SetInput(forwardComplexFilter->GetOutput());
using WriterType = itk::ImageFileWriter<RealImageType>;
auto writer = WriterType::New();
writer->SetFileName(outputImageFileName);
writer->SetInput(inverseFilter->GetOutput());
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
return EXIT_SUCCESS;
}
int
itkFFTWComplexToComplexFFTImageFilterTest(int argc, char * argv[])
{
if (argc < 4)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv);
std::cerr << " InputImage OutputImage <float|double>" << std::endl;
return EXIT_FAILURE;
}
const char * inputImageFileName = argv[1];
const char * outputImageFileName = argv[2];
const std::string pixelTypeString(argv[3]);
itk::ImageIOBase::Pointer imageIO =
itk::ImageIOFactory::CreateImageIO(inputImageFileName, itk::ImageIOFactory::IOFileModeEnum::ReadMode);
imageIO->SetFileName(inputImageFileName);
imageIO->ReadImageInformation();
const unsigned int dimension = imageIO->GetNumberOfDimensions();
if (pixelTypeString.compare("float") == 0)
{
switch (dimension)
{
#ifdef ITK_USE_FFTWF
case 2:
return transformImage<float, 2>(inputImageFileName, outputImageFileName);
case 3:
return transformImage<float, 3>(inputImageFileName, outputImageFileName);
#endif
default:
std::cerr << "Unknown image dimension." << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
else if (pixelTypeString.compare("double") == 0)
{
switch (dimension)
{
#ifdef ITK_USE_FFTWD
case 2:
return transformImage<double, 2>(inputImageFileName, outputImageFileName);
case 3:
return transformImage<double, 3>(inputImageFileName, outputImageFileName);
#endif
default:
std::cerr << "Unknown image dimension." << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
else
{
std::cerr << "Unknown pixel type string." << std::endl;
return EXIT_FAILURE;
}
std::cout << "Test finished." << std::endl;
return EXIT_FAILURE;
}
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