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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 "itkLabelImageToLabelMapFilter.h"
#include "itkBinaryReconstructionLabelMapFilter.h"
#include "itkAttributeSelectionLabelMapFilter.h"
#include "itkLabelMapToLabelImageFilter.h"
#include "itkTestingMacros.h"
#include <algorithm>
int
itkBinaryReconstructionLabelMapFilterTest(int argc, char * argv[])
{
if (argc != 5)
{
std::cerr << "Usage: " << itkNameOfTestExecutableMacro(argv);
std::cerr << " input marker output fg" << std::endl;
return EXIT_FAILURE;
}
constexpr unsigned int Dimension = 3;
using PixelType = unsigned char;
using AttributeValueType = bool;
using ImageType = itk::Image<PixelType, Dimension>;
using AttributeLabelObjectType = itk::AttributeLabelObject<PixelType, Dimension, AttributeValueType>;
using LabelMapType = itk::LabelMap<AttributeLabelObjectType>;
using ReaderType = itk::ImageFileReader<ImageType>;
auto reader = ReaderType::New();
reader->SetFileName(argv[1]);
using I2LType = itk::LabelImageToLabelMapFilter<ImageType, LabelMapType>;
auto i2l = I2LType::New();
i2l->SetInput(reader->GetOutput());
auto reader2 = ReaderType::New();
reader2->SetFileName(argv[2]);
using LabelReconstructionType = itk::BinaryReconstructionLabelMapFilter<LabelMapType, ImageType>;
auto reconstruction = LabelReconstructionType::New();
int fg = std::stoi(argv[4]);
reconstruction->SetForegroundValue(fg);
ITK_TEST_SET_GET_VALUE(fg, reconstruction->GetForegroundValue());
reconstruction->SetInput(i2l->GetOutput());
reconstruction->SetMarkerImage(reader2->GetOutput());
itk::SimpleFilterWatcher watcher(reconstruction, "filter");
reconstruction->Update();
reconstruction->GetOutput()->PrintLabelObjects();
using LabelOpeningType = itk::AttributeSelectionLabelMapFilter<LabelMapType>;
auto opening = LabelOpeningType::New();
ITK_EXERCISE_BASIC_OBJECT_METHODS(opening, AttributeSelectionLabelMapFilter, InPlaceLabelMapFilter);
auto exclude = false;
ITK_TEST_SET_GET_BOOLEAN(opening, Exclude, exclude);
auto attribute = true;
opening->SetAttribute(attribute);
std::set<AttributeValueType> attributeSet;
attributeSet.insert(attribute);
opening->SetAttributeSet(attributeSet);
auto obtainedAttributeSet = opening->GetAttributeSet();
std::vector<int> diff;
std::set_difference(attributeSet.begin(),
attributeSet.end(),
obtainedAttributeSet.begin(),
obtainedAttributeSet.end(),
std::inserter(diff, diff.begin()));
if (diff.size() != 0)
{
std::cerr << "Error" << std::endl;
std::cerr << " Obtained attribute set differs from expected atribute set" << std::endl;
for (auto it1 = attributeSet.cbegin(), it2 = obtainedAttributeSet.cbegin();
it1 != attributeSet.cend() || it2 != obtainedAttributeSet.cend();
++it1, ++it2)
{
std::cerr << "expected: " << *it1 << "; obtained: " << *it2 << std::endl;
}
return EXIT_FAILURE;
}
opening->SetInput(reconstruction->GetOutput());
using L2IType = itk::LabelMapToLabelImageFilter<LabelMapType, ImageType>;
auto l2i = L2IType::New();
l2i->SetInput(opening->GetOutput());
using WriterType = itk::ImageFileWriter<ImageType>;
auto writer = WriterType::New();
writer->SetInput(l2i->GetOutput());
writer->SetFileName(argv[3]);
writer->UseCompressionOn();
ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
return EXIT_SUCCESS;
}
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