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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 "itkVectorImage.h"
#include "itkGradientImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkTestingMacros.h"
namespace
{
template <typename TInputImage>
int
DoIt(const std::string & infname, const std::string & outfname)
{
using InputImageType = TInputImage;
const unsigned int ImageDimension = InputImageType::ImageDimension;
using InputPixelType = typename InputImageType::PixelType;
using ReaderType = itk::ImageFileReader<InputImageType>;
auto reader = ReaderType::New();
reader->SetFileName(infname);
using FilterType = itk::GradientImageFilter<InputImageType>;
auto filter = FilterType::New();
filter->SetInput(reader->GetOutput());
using OutputImageType = typename FilterType::OutputImageType;
using WriterType = itk::ImageFileWriter<OutputImageType>;
auto writer = WriterType::New();
writer->SetInput(filter->GetOutput());
writer->SetFileName(outfname);
writer->SetNumberOfStreamDivisions(5);
writer->Update();
std::cout << filter;
using VectorImageType = itk::VectorImage<InputPixelType, ImageDimension>;
using VectorFilterType = itk::GradientImageFilter<InputImageType, float, float, VectorImageType>;
auto vectorFilter = VectorFilterType::New();
vectorFilter->SetInput(reader->GetOutput());
vectorFilter->Update();
filter->UpdateLargestPossibleRegion();
itk::ImageRegionConstIterator<OutputImageType> iter(filter->GetOutput(), filter->GetOutput()->GetBufferedRegion());
itk::ImageRegionConstIterator<VectorImageType> viter(vectorFilter->GetOutput(),
vectorFilter->GetOutput()->GetBufferedRegion());
// Check the filter output
bool diff = false;
while (!iter.IsAtEnd())
{
for (unsigned int i = 0; i < ImageDimension; ++i)
{
if (!itk::Math::FloatAlmostEqual(iter.Get()[i], viter.Get()[i]))
{
diff = true;
}
}
++viter;
++iter;
}
if (diff)
{
std::cerr << "VectorImage output does not match covariant!" << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
} // namespace
int
itkGradientImageFilterTest2(int argc, char * argv[])
{
if (argc < 3)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv);
std::cerr << " Inputimage OutputImage" << std::endl;
return EXIT_FAILURE;
}
const std::string infname = argv[1];
const std::string outfname = argv[2];
itk::ImageIOBase::Pointer iobase =
itk::ImageIOFactory::CreateImageIO(infname.c_str(), itk::ImageIOFactory::IOFileModeEnum::ReadMode);
if (iobase.IsNull())
{
itkGenericExceptionMacro("Unable to determine ImageIO reader for \"" << infname << '"');
}
using TestImageType = itk::Image<short, 3>;
using FilterType = itk::GradientImageFilter<TestImageType>;
auto filter = FilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, GradientImageFilter, ImageToImageFilter);
const unsigned int dimension = iobase->GetNumberOfDimensions();
if (dimension == 2)
{
return DoIt<itk::Image<float, 2>>(infname, outfname);
}
else if (dimension == 3)
return DoIt<itk::Image<float, 3>>(infname, outfname);
return EXIT_FAILURE;
}
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