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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 "itkConstantBoundaryCondition.h"
#include "itkFFTDiscreteGaussianImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkTestingMacros.h"
#include "itkZeroFluxNeumannBoundaryCondition.h"
template <typename ImageType>
int
itkFFTDiscreteGaussianImageFilterTestProcedure(int argc, char ** argv)
{
float sigma = (argc > 4) ? std::stof(argv[4]) : 0.0;
float kernelError = (argc > 5) ? std::stof(argv[5]) : 0.01;
unsigned int kernelWidth = (argc > 6) ? std::stoi(argv[6]) : 32;
unsigned int filterDimensionality = (argc > 7) ? std::stoi(argv[7]) : ImageType::ImageDimension;
unsigned int kernelSource = (argc > 8) ? std::stoi(argv[8]) : 0;
typename ImageType::Pointer inputImage = itk::ReadImage<ImageType>(argv[2]);
using FilterType = itk::FFTDiscreteGaussianImageFilter<ImageType, ImageType>;
auto filter = FilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, FFTDiscreteGaussianImageFilter, DiscreteGaussianImageFilter);
// Test setting inputs
filter->SetInput(inputImage);
filter->SetSigma(sigma);
for (auto & param : filter->GetSigmaArray())
{
ITK_TEST_EXPECT_EQUAL(sigma, param);
}
for (auto & param : filter->GetVariance())
{
double tolerance = 1e-6;
ITK_TEST_EXPECT_TRUE(std::fabs((sigma * sigma) - param) < tolerance);
}
filter->SetMaximumError(kernelError);
for (size_t dim = 0; dim < ImageType::ImageDimension; ++dim)
{
ITK_TEST_SET_GET_VALUE(kernelError, filter->GetMaximumError()[dim]);
}
filter->SetMaximumKernelWidth(kernelWidth);
ITK_TEST_SET_GET_VALUE(kernelWidth, filter->GetMaximumKernelWidth());
filter->SetFilterDimensionality(filterDimensionality);
ITK_TEST_SET_GET_VALUE(filterDimensionality, filter->GetFilterDimensionality());
itk::ZeroFluxNeumannBoundaryCondition<ImageType> zfnBoundaryCondition;
filter->SetRealBoundaryCondition(&zfnBoundaryCondition);
ITK_TEST_SET_GET_VALUE(&zfnBoundaryCondition, filter->GetRealBoundaryCondition());
itk::FFTDiscreteGaussianImageFilterEnums::KernelSource source;
if (kernelSource == 0)
{
source = itk::FFTDiscreteGaussianImageFilterEnums::KernelSource::OPERATORS;
}
else
{
source = itk::FFTDiscreteGaussianImageFilterEnums::KernelSource::IMAGE_SOURCE;
}
filter->SetKernelSource(source);
ITK_TEST_SET_GET_VALUE(filter->GetKernelSource(), source);
// Test that attempting to set unused interface parameters throws warnings
// Ignore values from "Get" methods as these are unused
itk::ConstantBoundaryCondition<ImageType> constantBoundaryCondition;
filter->SetInputBoundaryCondition(&constantBoundaryCondition);
// Run convolution
ITK_TRY_EXPECT_NO_EXCEPTION(filter->Update());
itk::WriteImage(filter->GetOutput(), argv[3], true);
// Test streaming enumeration for FFTDiscreteGaussianImageFilterEnums::KernelSource elements
for (const auto val : { itk::FFTDiscreteGaussianImageFilterEnums::KernelSource::OPERATORS,
itk::FFTDiscreteGaussianImageFilterEnums::KernelSource::IMAGE_SOURCE })
{
std::cout << "STREAMED ENUM VALUE FFTDiscreteGaussianImageFilterEnums::KernelSource: " << val << std::endl;
}
return EXIT_SUCCESS;
}
int
itkFFTDiscreteGaussianImageFilterTest(int argc, char * argv[])
{
if (argc < 5)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage:" << std::endl;
std::cerr
<< itkNameOfTestExecutableMacro(argv)
<< " imageDimension inputFilename outputFilename sigma kernelError kernelWidth filterDimensionality kernelSource"
<< std::endl;
return EXIT_FAILURE;
}
const unsigned int ImageDimension = static_cast<unsigned int>(std::stoi(argv[1]));
if (ImageDimension == 2)
{
itkFFTDiscreteGaussianImageFilterTestProcedure<itk::Image<float, 2>>(argc, &argv[0]);
}
else if (ImageDimension == 3)
{
itkFFTDiscreteGaussianImageFilterTestProcedure<itk::Image<float, 3>>(argc, &argv[0]);
}
else
{
std::cout << "Did not recognize image dimension argument!" << std::endl;
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
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