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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 "itkSimpleFilterWatcher.h"
#include "itkSaltAndPepperNoiseImageFilter.h"
#include "itkTestingMacros.h"
int
itkSaltAndPepperNoiseImageFilterTest(int argc, char * argv[])
{
if (argc < 3)
{
std::cerr << "Missing Parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv) << " inputImage outputImage Probability" << 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]);
using SaltAndPepperNoiseImageFilterType = itk::SaltAndPepperNoiseImageFilter<ImageType, ImageType>;
auto saltAndPepperNoiseImageFilter = SaltAndPepperNoiseImageFilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(saltAndPepperNoiseImageFilter, SaltAndPepperNoiseImageFilter, NoiseBaseImageFilter);
double probability = 0.01;
if (argc >= 4)
{
probability = std::stod(argv[3]);
}
saltAndPepperNoiseImageFilter->SetProbability(probability);
ITK_TEST_SET_GET_VALUE(probability, saltAndPepperNoiseImageFilter->GetProbability());
// change the default values and then set back to defaults so that
// the original test image is still valid.
PixelType saltValue = 245;
saltAndPepperNoiseImageFilter->SetSaltValue(saltValue);
ITK_TEST_SET_GET_VALUE(saltValue, saltAndPepperNoiseImageFilter->GetSaltValue());
PixelType pepperValue = 10;
saltAndPepperNoiseImageFilter->SetPepperValue(pepperValue);
ITK_TEST_SET_GET_VALUE(pepperValue, saltAndPepperNoiseImageFilter->GetPepperValue());
saltAndPepperNoiseImageFilter->SetSaltValue(itk::NumericTraits<PixelType>::max());
saltAndPepperNoiseImageFilter->SetPepperValue(itk::NumericTraits<PixelType>::NonpositiveMin());
saltAndPepperNoiseImageFilter->SetInput(reader->GetOutput());
itk::SimpleFilterWatcher watcher(saltAndPepperNoiseImageFilter, "SaltAndPepperNoiseImageFilter");
using WriterType = itk::ImageFileWriter<ImageType>;
auto writer = WriterType::New();
writer->SetInput(saltAndPepperNoiseImageFilter->GetOutput());
writer->SetFileName(argv[2]);
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
std::cout << "Test finished" << std::endl;
return EXIT_SUCCESS;
}
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