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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 "itkKappaSigmaThresholdImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkSimpleFilterWatcher.h"
#include "itkTestingMacros.h"
int
itkKappaSigmaThresholdImageFilterTest(int argc, char * argv[])
{
if (argc != 7)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage:" << std::endl;
std::cerr << itkNameOfTestExecutableMacro(argv) << " inputImageFile"
<< " outputImageFile"
<< " maskValue"
<< " sigmaFactor"
<< " numberOfIterations"
<< " expectedThreshold" << std::endl;
return EXIT_FAILURE;
}
using InputPixelType = unsigned char;
using MaskPixelType = unsigned char;
using OutputPixelType = unsigned char;
constexpr unsigned int Dimension = 2;
using InputImageType = itk::Image<InputPixelType, Dimension>;
using MaskImageType = itk::Image<MaskPixelType, Dimension>;
using OutputImageType = itk::Image<OutputPixelType, Dimension>;
using ReaderType = itk::ImageFileReader<InputImageType>;
auto reader = ReaderType::New();
reader->SetFileName(argv[1]);
ITK_TRY_EXPECT_NO_EXCEPTION(reader->Update());
using FilterType = itk::KappaSigmaThresholdImageFilter<InputImageType, MaskImageType, OutputImageType>;
auto filter = FilterType::New();
itk::SimpleFilterWatcher watcher(filter);
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, KappaSigmaThresholdImageFilter, ImageToImageFilter);
auto insideValue = static_cast<FilterType::OutputPixelType>(255);
filter->SetInsideValue(insideValue);
ITK_TEST_SET_GET_VALUE(insideValue, filter->GetInsideValue());
auto outsideValue = static_cast<FilterType::OutputPixelType>(0);
filter->SetOutsideValue(outsideValue);
ITK_TEST_SET_GET_VALUE(outsideValue, filter->GetOutsideValue());
auto maskValue = static_cast<FilterType::MaskPixelType>(std::stod(argv[3]));
filter->SetMaskValue(maskValue);
ITK_TEST_SET_GET_VALUE(maskValue, filter->GetMaskValue());
double sigmaFactor = std::stod(argv[4]);
filter->SetSigmaFactor(sigmaFactor);
ITK_TEST_SET_GET_VALUE(sigmaFactor, filter->GetSigmaFactor());
auto numberOfIterations = static_cast<unsigned int>(std::stoi(argv[5]));
filter->SetNumberOfIterations(numberOfIterations);
ITK_TEST_SET_GET_VALUE(numberOfIterations, filter->GetNumberOfIterations());
filter->SetInput(reader->GetOutput());
ITK_TRY_EXPECT_NO_EXCEPTION(filter->Update());
// Regression test: compare computed threshold
FilterType::InputPixelType expectedThreshold = std::stod(argv[6]);
FilterType::InputPixelType resultThreshold = filter->GetThreshold();
if (itk::Math::NotAlmostEquals(expectedThreshold, resultThreshold))
{
std::cerr << "Test failed!" << std::endl;
std::cerr << "Error in GetThreshold()" << std::endl;
std::cerr << "Expected: " << itk::NumericTraits<FilterType::InputPixelType>::PrintType(expectedThreshold)
<< ", but got: " << itk::NumericTraits<FilterType::InputPixelType>::PrintType(resultThreshold)
<< std::endl;
return EXIT_FAILURE;
}
// Write output image
using WriterType = itk::ImageFileWriter<OutputImageType>;
auto writer = WriterType::New();
writer->SetInput(filter->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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