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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 "itkScalarImageKmeansImageFilter.h"
#include "itkRelabelComponentImageFilter.h"
#include "itkTestingMacros.h"
int
itkScalarImageKmeansImageFilterTest(int argc, char * argv[])
{
if (argc < 5)
{
std::cerr << "Missing Parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv) << " inputScalarImage"
<< " outputLabeledImage"
<< " useNonContiguousLabels"
<< " numberOfClasses"
<< " mean1 mean2... meanN" << std::endl;
return EXIT_FAILURE;
}
using PixelType = unsigned char;
constexpr unsigned int Dimension = 2;
using ImageType = itk::Image<PixelType, Dimension>;
using ReaderType = itk::ImageFileReader<ImageType>;
auto reader = ReaderType::New();
reader->SetFileName(argv[1]);
ITK_TRY_EXPECT_NO_EXCEPTION(reader->Update());
using KMeansFilterType = itk::ScalarImageKmeansImageFilter<ImageType>;
auto kmeansFilter = KMeansFilterType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(kmeansFilter, ScalarImageKmeansImageFilter, ImageToImageFilter);
kmeansFilter->SetInput(reader->GetOutput());
auto useNonContiguousLabels = static_cast<bool>(std::stoi(argv[3]));
ITK_TEST_SET_GET_BOOLEAN(kmeansFilter, UseNonContiguousLabels, useNonContiguousLabels);
typename KMeansFilterType::ImageRegionType region;
typename KMeansFilterType::ImageRegionType::IndexType index = { { 50, 50 } };
typename KMeansFilterType::ImageRegionType::SizeType size = { { 80, 100 } };
region.SetIndex(index);
region.SetSize(size);
kmeansFilter->SetImageRegion(region);
ITK_TEST_SET_GET_VALUE(region, kmeansFilter->GetImageRegion());
const unsigned int numberOfInitialClasses = std::stoi(argv[4]);
constexpr unsigned int numberOfArgumentsBeforeMeans = 5;
if (static_cast<unsigned int>(argc) < numberOfInitialClasses + numberOfArgumentsBeforeMeans)
{
std::cerr << "Error: " << std::endl;
std::cerr << numberOfInitialClasses << " classes has been specified ";
std::cerr << "but no enough means have been provided in the command ";
std::cerr << "line arguments " << std::endl;
return EXIT_FAILURE;
}
// Before we add any mean check that an expection is thrown
ITK_TRY_EXPECT_EXCEPTION(kmeansFilter->Update());
for (unsigned int k = 0; k < numberOfInitialClasses; ++k)
{
kmeansFilter->AddClassWithInitialMean(std::stod(argv[k + numberOfArgumentsBeforeMeans]));
}
ITK_TRY_EXPECT_NO_EXCEPTION(kmeansFilter->Update());
KMeansFilterType::ParametersType estimatedMeans = kmeansFilter->GetFinalMeans();
const unsigned int numberOfClasses = estimatedMeans.Size();
for (unsigned int i = 0; i < numberOfClasses; ++i)
{
std::cout << "cluster[" << i << "] ";
std::cout << " estimated mean : " << estimatedMeans[i] << std::endl;
}
using OutputImageType = KMeansFilterType::OutputImageType;
using RelabelFilterType = itk::RelabelComponentImageFilter<OutputImageType, OutputImageType>;
auto relabeler = RelabelFilterType::New();
relabeler->SetInput(kmeansFilter->GetOutput());
using WriterType = itk::ImageFileWriter<OutputImageType>;
auto writer = WriterType::New();
writer->SetInput(relabeler->GetOutput());
writer->SetFileName(argv[2]);
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
using SizesType = RelabelFilterType::ObjectSizeInPixelsContainerType;
const SizesType & sizes = relabeler->GetSizeOfObjectsInPixels();
auto sizeItr = sizes.begin();
auto sizeEnd = sizes.end();
std::cout << "Number of pixels per class " << std::endl;
unsigned int kclass = 0;
while (sizeItr != sizeEnd)
{
std::cout << "Class " << kclass << " = " << *sizeItr << std::endl;
++kclass;
++sizeItr;
}
std::cout << "Test finished." << std::endl;
return EXIT_SUCCESS;
}
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