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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 "itkStatisticsImageFilter.h"
#include "itkBinaryThresholdImageFilter.h"
#include "itkTestingMacros.h"
int
itkBinaryThresholdImageFilterTest2(int argc, char * argv[])
{
if (argc != 4)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage: " << std::endl;
std::cerr << itkNameOfTestExecutableMacro(argv) << " inputImage1"
<< " inputImage2"
<< " outputImage" << std::endl;
return EXIT_FAILURE;
}
// Threshold one image based on the statistics of another image
//
// Define the dimension of the images
constexpr unsigned int Dimension = 2;
// Declare the types of the images
using InputPixelType = double;
using OutputPixelType = unsigned char;
using InputImageType = itk::Image<InputPixelType, 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());
auto reader2 = ReaderType::New();
reader2->SetFileName(argv[2]);
ITK_TRY_EXPECT_NO_EXCEPTION(reader2->Update());
// Declare the filter types
using StatisticsType = itk::StatisticsImageFilter<InputImageType>;
using ThresholdType = itk::BinaryThresholdImageFilter<InputImageType, OutputImageType>;
// Create the filters
auto statistics = StatisticsType::New();
auto threshold = ThresholdType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(threshold, BinaryThresholdImageFilter, UnaryFunctorImageFilter);
// Set up the standard pipeline connections
statistics->SetInput(reader2->GetOutput());
threshold->SetInput(reader->GetOutput());
threshold->SetUpperThresholdInput(statistics->GetMeanOutput());
ITK_TEST_SET_GET_VALUE(statistics->GetMeanOutput(), threshold->GetUpperThresholdInput());
threshold->SetLowerThresholdInput(statistics->GetMinimumOutput());
ITK_TEST_SET_GET_VALUE(statistics->GetMinimumOutput(), threshold->GetLowerThresholdInput());
// Write the output
using WriterType = itk::ImageFileWriter<OutputImageType>;
auto writer = WriterType::New();
writer->SetFileName(argv[3]);
writer->SetInput(threshold->GetOutput());
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
std::cout << "Test finished" << std::endl;
return EXIT_SUCCESS;
}
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