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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 "itkOtsuMultipleThresholdsImageFilter.h"
#include "itkRescaleIntensityImageFilter.h"
#include "itkImageFileWriter.h"
#include "itkSimpleFilterWatcher.h"
#include "itkTestingMacros.h"
int
itkOtsuMultipleThresholdsImageFilterTest(int argc, char * argv[])
{
if (argc < 6)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage:" << std::endl;
std::cerr << itkNameOfTestExecutableMacro(argv) << " inputImageFile"
<< " outputImageFile"
<< " numberOfHistogramBins"
<< " numberOfThresholds"
<< " labelOffset"
<< " [valleyEmphasis]"
<< " [returnBinMidpoint]" << std::endl;
return EXIT_FAILURE;
}
constexpr unsigned int Dimension = 2;
using InputPixelType = short;
using InternalPixelType = unsigned short;
using OutputPixelType = unsigned char;
using InputImageType = itk::Image<InputPixelType, Dimension>;
using InternalImageType = itk::Image<InternalPixelType, Dimension>;
using OutputImageType = itk::Image<OutputPixelType, Dimension>;
using ReaderType = itk::ImageFileReader<InputImageType>;
using FilterType = itk::OtsuMultipleThresholdsImageFilter<InputImageType, InternalImageType>;
using RescaleType = itk::RescaleIntensityImageFilter<InternalImageType, OutputImageType>;
// Set up the reader
using ReaderType = itk::ImageFileReader<InputImageType>;
auto reader = ReaderType::New();
reader->SetFileName(argv[1]);
ITK_TRY_EXPECT_NO_EXCEPTION(reader->Update());
using FilterType = itk::OtsuMultipleThresholdsImageFilter<InputImageType, InternalImageType>;
auto filter = FilterType::New();
itk::SimpleFilterWatcher watcher(filter);
ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, OtsuMultipleThresholdsImageFilter, ImageToImageFilter);
// Set up the filter parameters
#if defined(ITKV4_COMPATIBILITY)
ITK_TEST_EXPECT_TRUE(filter->GetReturnBinMidpoint());
#else
ITK_TEST_EXPECT_TRUE(!filter->GetReturnBinMidpoint());
#endif
filter->ReturnBinMidpointOff();
auto numberOfHistogramBins = static_cast<itk::SizeValueType>(std::stoi(argv[3]));
filter->SetNumberOfHistogramBins(numberOfHistogramBins);
ITK_TEST_SET_GET_VALUE(numberOfHistogramBins, filter->GetNumberOfHistogramBins());
auto numberOfThresholds = static_cast<itk::SizeValueType>(std::stoi(argv[4]));
filter->SetNumberOfThresholds(numberOfThresholds);
ITK_TEST_SET_GET_VALUE(numberOfThresholds, filter->GetNumberOfThresholds());
auto labelOffset = static_cast<FilterType::OutputPixelType>(std::stoi(argv[5]));
filter->SetLabelOffset(labelOffset);
ITK_TEST_SET_GET_VALUE(labelOffset, filter->GetLabelOffset());
if (argc > 6)
{
bool valleyEmphasis = static_cast<bool>(std::stoi(argv[6]));
ITK_TEST_SET_GET_BOOLEAN(filter, ValleyEmphasis, valleyEmphasis);
}
if (argc > 7)
{
bool returnBinMidpoint = static_cast<bool>(std::stoi(argv[7]));
ITK_TEST_SET_GET_BOOLEAN(filter, ReturnBinMidpoint, returnBinMidpoint);
}
FilterType::ThresholdVectorType thresholds = filter->GetThresholds();
std::cout << "filter->GetThresholds(): ";
for (unsigned int i = 0; i < thresholds.size(); ++i)
{
std::cout << itk::NumericTraits<FilterType::InputPixelType>::PrintType(thresholds[i]) << ' ';
}
std::cout << std::endl;
filter->SetInput(reader->GetOutput());
ITK_TRY_EXPECT_NO_EXCEPTION(filter->Update());
// Rescale the image so that it can be seen. The output of the
// filter contains labels that are numbered sequentially, so the
// image looks nearly uniform unless there are a large number of labels.
//
using RescaleType = itk::RescaleIntensityImageFilter<InternalImageType, OutputImageType>;
auto rescaler = RescaleType::New();
rescaler->SetInput(filter->GetOutput());
rescaler->SetOutputMinimum(0);
rescaler->SetOutputMaximum(255);
// Write out the test 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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