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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 "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkRescaleIntensityImageFilter.h"
#include "itkDiscreteGaussianDerivativeImageFilter.h"
#include "itkSimpleFilterWatcher.h"
#include "itkTestingMacros.h"
/** Calculate the Gaussian derivatives at non-zero points of a Gaussian
* input image. For derivative calculation the class
* itkDiscreteGaussianDerivativeImageFilter is used.
* This example operates on 2D images.
*/
int
itkDiscreteGaussianDerivativeImageFilterTest(int argc, char * argv[])
{
if (argc < 6)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv)
<< "inputFileName"
" outputFileName"
" orderX"
" orderY"
" sigma"
" [maximumError]"
" [maximumKernelWidth]"
<< std::endl;
return EXIT_FAILURE;
}
constexpr unsigned int Dimension = 2;
using PixelType = float;
using OutputPixelType = unsigned short;
using ImageType = itk::Image<PixelType, Dimension>;
using OutputImageType = itk::Image<OutputPixelType, Dimension>;
using ReaderType = itk::ImageFileReader<ImageType>;
auto reader = ReaderType::New();
reader->SetFileName(argv[1]);
ITK_TRY_EXPECT_NO_EXCEPTION(reader->Update());
using DerivativeFilterType = itk::DiscreteGaussianDerivativeImageFilter<ImageType, ImageType>;
auto derivativeFilter = DerivativeFilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(derivativeFilter, DiscreteGaussianDerivativeImageFilter, ImageToImageFilter);
itk::SimpleFilterWatcher watcher(derivativeFilter, "DiscreteGaussianDerivativeImageFilter");
derivativeFilter->SetInput(reader->GetOutput());
// Now proceed to apply the Gaussian derivative filter in both directions
DerivativeFilterType::OrderArrayType order;
order[0] = std::stoi(argv[3]);
order[1] = std::stoi(argv[4]);
derivativeFilter->SetOrder(order);
ITK_TEST_SET_GET_VALUE(order, derivativeFilter->GetOrder());
double sigma = std::stod(argv[5]);
DerivativeFilterType::ArrayType::ValueType maxErrorVal = 0.001;
int maxKernelWidth = 100;
if (argc > 7)
{
maxErrorVal = static_cast<DerivativeFilterType::ArrayType::ValueType>(std::stod(argv[6]));
}
else if (argc > 8)
{
maxKernelWidth = std::stoi(argv[7]);
}
DerivativeFilterType::ArrayType variance;
variance.Fill(sigma * sigma);
derivativeFilter->SetVariance(variance);
ITK_TEST_SET_GET_VALUE(variance, derivativeFilter->GetVariance());
DerivativeFilterType::ArrayType maxError;
maxError.Fill(maxErrorVal);
derivativeFilter->SetMaximumError(maxErrorVal);
ITK_TEST_SET_GET_VALUE(maxError, derivativeFilter->GetMaximumError());
derivativeFilter->SetMaximumKernelWidth(maxKernelWidth);
ITK_TEST_SET_GET_VALUE(maxKernelWidth, derivativeFilter->GetMaximumKernelWidth());
bool useImageSpacing = true;
ITK_TEST_SET_GET_BOOLEAN(derivativeFilter, UseImageSpacing, useImageSpacing);
bool normalizeAcrossScale = false;
ITK_TEST_SET_GET_BOOLEAN(derivativeFilter, NormalizeAcrossScale, normalizeAcrossScale);
unsigned int internalNumberOfStreamDivisions = DerivativeFilterType::InputImageType::GetImageDimension() *
DerivativeFilterType::InputImageType::GetImageDimension();
derivativeFilter->SetInternalNumberOfStreamDivisions(internalNumberOfStreamDivisions);
ITK_TEST_SET_GET_VALUE(internalNumberOfStreamDivisions, derivativeFilter->GetInternalNumberOfStreamDivisions());
using RescaleFilterType = itk::RescaleIntensityImageFilter<ImageType, OutputImageType>;
auto rescaler = RescaleFilterType::New();
rescaler->SetOutputMinimum(itk::NumericTraits<OutputPixelType>::min());
rescaler->SetOutputMaximum(itk::NumericTraits<OutputPixelType>::max());
rescaler->SetInput(derivativeFilter->GetOutput());
// Write the output image
using WriterType = itk::ImageFileWriter<OutputImageType>;
auto writer = WriterType::New();
writer->SetFileName(argv[2]);
writer->SetInput(rescaler->GetOutput());
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
std::cout << "Test finished." << std::endl;
return EXIT_SUCCESS;
}
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