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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 "itkModulusImageFilter.h"
#include "itkDanielssonDistanceMapImageFilter.h"
#include "itkRescaleIntensityImageFilter.h"
#include "itkSimpleFilterWatcher.h"
#include "itkTestingMacros.h"
int
itkModulusImageFilterTest(int argc, char * argv[])
{
if (argc < 3)
{
std::cerr << "Missing Arguments" << std::endl;
std::cerr << "Usage: " << std::endl;
std::cerr << itkNameOfTestExecutableMacro(argv) << " inputImage outputImage " << std::endl;
return EXIT_FAILURE;
}
constexpr unsigned int Dimension = 2;
using PixelType = unsigned char;
using ImageType = itk::Image<PixelType, Dimension>;
using ReaderType = itk::ImageFileReader<ImageType>;
auto reader = ReaderType::New();
reader->SetFileName(argv[1]);
// get the distance map inside the spots
// spot are already black so there is no need to invert the image
using DistanceFilter = itk::DanielssonDistanceMapImageFilter<ImageType, ImageType>;
auto distance = DistanceFilter::New();
distance->SetInput(reader->GetOutput());
using FilterType = itk::ModulusImageFilter<ImageType, ImageType>;
auto filter = FilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, ModulusImageFilter, BinaryGeneratorImageFilter);
filter->SetInput(distance->GetOutput());
FilterType::InputPixelType dividend = 8;
filter->SetDividend(dividend);
ITK_TEST_SET_GET_VALUE(dividend, filter->GetDividend());
filter->InPlaceOn();
itk::SimpleFilterWatcher watcher(filter);
using ThresholdType = itk::RescaleIntensityImageFilter<ImageType, ImageType>;
auto rescale = ThresholdType::New();
rescale->SetInput(filter->GetOutput());
rescale->SetOutputMaximum(itk::NumericTraits<PixelType>::max());
rescale->SetOutputMinimum(itk::NumericTraits<PixelType>::NonpositiveMin());
using WriterType = itk::ImageFileWriter<ImageType>;
auto writer = WriterType::New();
writer->SetInput(rescale->GetOutput());
writer->SetFileName(argv[2]);
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
return EXIT_SUCCESS;
}
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