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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 "itkCastImageFilter.h"
#include "itkGradientAnisotropicDiffusionImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkChangeInformationImageFilter.h"
#include "itkTestingComparisonImageFilter.h"
#include "itkTestingMacros.h"
#include <fstream>
using PixelType = float;
using myFloatImage = itk::Image<PixelType, 2>;
using ImageType = itk::Image<PixelType, 2>;
using ImagePointer = ImageType::Pointer;
namespace
{
// compare two images with an intensity tolerance
bool
SameImage(ImagePointer testImage, ImagePointer baselineImage)
{
PixelType intensityTolerance = .001;
int radiusTolerance = 0;
unsigned long numberOfPixelTolerance = 0;
using DiffType = itk::Testing::ComparisonImageFilter<ImageType, ImageType>;
auto diff = DiffType::New();
diff->SetValidInput(baselineImage);
diff->SetTestInput(testImage);
diff->SetDifferenceThreshold(intensityTolerance);
diff->SetToleranceRadius(radiusTolerance);
diff->UpdateLargestPossibleRegion();
unsigned long status = diff->GetNumberOfPixelsWithDifferences();
if (status > numberOfPixelTolerance)
{
std::cout << "Number of Different Pixels: " << status << std::endl;
return false;
}
return true;
}
} // namespace
int
itkGradientAnisotropicDiffusionImageFilterTest2(int argc, char * argv[])
{
if (argc < 3)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv) << " InputImage OutputImage" << std::endl;
return EXIT_FAILURE;
}
itk::ImageFileReader<myFloatImage>::Pointer input = itk::ImageFileReader<myFloatImage>::New();
input->SetFileName(argv[1]);
// Create a filter
itk::GradientAnisotropicDiffusionImageFilter<myFloatImage, myFloatImage>::Pointer filter =
itk::GradientAnisotropicDiffusionImageFilter<myFloatImage, myFloatImage>::New();
filter->SetNumberOfIterations(10);
filter->SetConductanceParameter(1.0f);
filter->SetTimeStep(0.125f);
filter->SetInput(input->GetOutput());
using myUCharImage = itk::Image<unsigned char, 2>;
itk::CastImageFilter<myFloatImage, myUCharImage>::Pointer caster =
itk::CastImageFilter<myFloatImage, myUCharImage>::New();
caster->SetInput(filter->GetOutput());
ITK_TRY_EXPECT_NO_EXCEPTION(caster->Update());
// Generate test image
itk::ImageFileWriter<myUCharImage>::Pointer writer;
writer = itk::ImageFileWriter<myUCharImage>::New();
writer->SetInput(caster->GetOutput());
writer->SetFileName(argv[2]);
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
myFloatImage::Pointer normalImage = filter->GetOutput();
normalImage->DisconnectPipeline();
// We now set up testing when the image spacing is not trivial 1 and
// perform diffusion with spacing on
using ChangeInformationType = itk::ChangeInformationImageFilter<myFloatImage>;
auto changeInfo = ChangeInformationType::New();
changeInfo->SetInput(input->GetOutput());
myFloatImage::SpacingType spacing;
spacing[0] = input->GetOutput()->GetSpacing()[0] * 100.0;
spacing[1] = input->GetOutput()->GetSpacing()[1] * 100.0;
changeInfo->SetOutputSpacing(spacing);
changeInfo->ChangeSpacingOn();
filter->SetInput(changeInfo->GetOutput());
filter->UseImageSpacingOn();
// need to adjust the time step to the number of iterations equates
// to the same operation
filter->SetTimeStep(100.0 * filter->GetTimeStep());
ITK_TRY_EXPECT_NO_EXCEPTION(filter->Update());
// the results with spacing should be about the same as without
normalImage->CopyInformation(filter->GetOutput());
if (!SameImage(filter->GetOutput(), normalImage))
{
std::cout << "Results varied with spacing enabled!" << std::endl;
return EXIT_FAILURE;
}
std::cout << "Test finished." << std::endl;
return EXIT_SUCCESS;
}
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