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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 "itkBinaryImageToLevelSetImageAdaptor.h"
#include "itkTestingMacros.h"
int
itkBinaryImageToShiSparseLevelSetAdaptorTest(int argc, char * argv[])
{
if (argc < 3)
{
std::cerr << "Missing parameters." << std::endl;
std::cerr << "Usage:" << std::endl;
std::cerr << itkNameOfTestExecutableMacro(argv) << " inputFilename outputFilename" << std::endl;
return EXIT_FAILURE;
}
constexpr unsigned int Dimension = 2;
using InputPixelType = unsigned char;
using InputImageType = itk::Image<InputPixelType, Dimension>;
using InputReaderType = itk::ImageFileReader<InputImageType>;
auto reader = InputReaderType::New();
reader->SetFileName(argv[1]);
try
{
reader->Update();
}
catch (const itk::ExceptionObject & err)
{
std::cout << err << std::endl;
return EXIT_FAILURE;
}
InputImageType::Pointer input = reader->GetOutput();
std::cout << "Input image read" << std::endl;
using LevelSetType = itk::ShiSparseLevelSetImage<Dimension>;
using BinaryToSparseAdaptorType = itk::BinaryImageToLevelSetImageAdaptor<InputImageType, LevelSetType>;
auto adaptor = BinaryToSparseAdaptorType::New();
adaptor->SetInputImage(input);
adaptor->Initialize();
std::cout << "Finished converting to sparse format" << std::endl;
using LayerIdType = LevelSetType::LayerIdType;
LevelSetType::Pointer sparseLevelSet = adaptor->GetModifiableLevelSet();
using StatusImageType = itk::Image<char, Dimension>;
auto statusImage = StatusImageType::New();
statusImage->SetRegions(input->GetLargestPossibleRegion());
statusImage->CopyInformation(input);
statusImage->Allocate();
statusImage->FillBuffer(0);
using StatusIteratorType = itk::ImageRegionIteratorWithIndex<StatusImageType>;
StatusIteratorType sIt(statusImage, statusImage->GetLargestPossibleRegion());
sIt.GoToBegin();
StatusImageType::IndexType idx;
while (!sIt.IsAtEnd())
{
idx = sIt.GetIndex();
sIt.Set(sparseLevelSet->Evaluate(idx));
++sIt;
}
using StatusWriterType = itk::ImageFileWriter<StatusImageType>;
auto writer = StatusWriterType::New();
writer->SetFileName(argv[2]);
writer->SetInput(statusImage);
try
{
writer->Update();
}
catch (const itk::ExceptionObject & err)
{
std::cout << err << std::endl;
return EXIT_FAILURE;
}
for (LayerIdType lyr = sparseLevelSet->MinusOneLayer(); lyr <= sparseLevelSet->PlusOneLayer(); lyr += 2)
{
LevelSetType::LayerType layer = sparseLevelSet->GetLayer(lyr);
auto lIt = layer.begin();
std::cout << "*** " << static_cast<int>(lyr) << " ***" << std::endl;
while (lIt != layer.end())
{
std::cout << lIt->first << ' ' << static_cast<int>(lIt->second) << std::endl;
++lIt;
}
std::cout << std::endl;
}
using LabelObjectType = itk::LabelObject<unsigned long, 2>;
using LabelObjectPointer = LabelObjectType::Pointer;
LabelObjectPointer labelObject = LabelObjectType::New();
LabelObjectPointer labelObjectSrc = sparseLevelSet->GetAsLabelObject<unsigned long>();
labelObject->CopyAllFrom<LabelObjectType>(labelObjectSrc);
labelObject->SetLabel(sparseLevelSet->PlusOneLayer());
labelObject->Optimize();
std::cout << labelObject->Size() << std::endl;
return EXIT_SUCCESS;
}
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