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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 "itkLabelImageToStatisticsLabelMapFilter.h"
#include "itkStatisticsPositionLabelMapFilter.h"
#include "itkTestingMacros.h"
int
itkStatisticsPositionLabelMapFilterTest1(int argc, char * argv[])
{
if (argc != 5)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv);
std::cerr << " input feature output attribute" << std::endl;
return EXIT_FAILURE;
}
// declare the dimension used, and the type of the input image
constexpr int dim = 3;
using PType = unsigned char;
using IType = itk::Image<PType, dim>;
// We read the input image.
using ReaderType = itk::ImageFileReader<IType>;
auto reader = ReaderType::New();
reader->SetFileName(argv[1]);
auto reader2 = ReaderType::New();
reader2->SetFileName(argv[2]);
// And convert it to a LabelMap, with the shape attribute computed.
// We use the default label object type.
using I2LType = itk::LabelImageToStatisticsLabelMapFilter<IType, IType>;
auto i2l = I2LType::New();
i2l->SetInput(reader->GetOutput());
i2l->SetFeatureImage(reader2->GetOutput());
using OpeningType = itk::StatisticsPositionLabelMapFilter<I2LType::OutputImageType>;
auto opening = OpeningType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(opening, StatisticsPositionLabelMapFilter, ShapePositionLabelMapFilter);
opening->SetInput(i2l->GetOutput());
opening->SetAttribute(argv[4]);
itk::SimpleFilterWatcher watcher(opening, "filter");
// the label map is then converted back to an label image.
using L2IType = itk::LabelMapToLabelImageFilter<I2LType::OutputImageType, IType>;
auto l2i = L2IType::New();
l2i->SetInput(opening->GetOutput());
// write the result
using WriterType = itk::ImageFileWriter<IType>;
auto writer = WriterType::New();
writer->SetInput(l2i->GetOutput());
writer->SetFileName(argv[3]);
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
return EXIT_SUCCESS;
}
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