SphinxExamples/src/Filtering/FastMarching/CreateDistanceMapFromSeeds/Code.cxx

/*=========================================================================
 *
 *  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 "itkFastMarchingImageToNodePairContainerAdaptor.h"
#include "itkFastMarchingImageFilterBase.h"
#include "itkFastMarchingThresholdStoppingCriterion.h"
#include "itkImageFileWriter.h"
 
int
main(int argc, char * argv[])
{
  if (argc != 2)
  {
    std::cerr << "Usage:" << std::endl;
    std::cerr << argv[0] << " <OutputFileName>" << std::endl;
 
    return EXIT_FAILURE;
  }
 
  // create a fastmarching object
  using PixelType = float;
  constexpr unsigned int Dimension = 2;
 
  using FloatImageType = itk::Image<PixelType, Dimension>;
 
  using CriterionType = itk::FastMarchingThresholdStoppingCriterion<FloatImageType, FloatImageType>;
 
  using FastMarchingType = itk::FastMarchingImageFilterBase<FloatImageType, FloatImageType>;
 
  auto criterion = CriterionType::New();
  criterion->SetThreshold(100.);
 
  auto marcher = FastMarchingType::New();
  marcher->SetStoppingCriterion(criterion);
 
  // specify the size of the output image
  FloatImageType::SizeType size = { { 64, 64 } };
  marcher->SetOutputSize(size);
 
  // setup a speed image of ones
  auto speedImage = FloatImageType::New();
 
  FloatImageType::RegionType region;
  region.SetSize(size);
 
  speedImage->SetLargestPossibleRegion(region);
  speedImage->SetBufferedRegion(region);
  speedImage->Allocate();
  speedImage->FillBuffer(1.0);
 
  // setup a 'alive image'
  auto AliveImage = FloatImageType::New();
  AliveImage->SetLargestPossibleRegion(region);
  AliveImage->SetBufferedRegion(region);
  AliveImage->Allocate();
  AliveImage->FillBuffer(0.0);
 
  FloatImageType::OffsetType offset0 = { { 28, 35 } };
 
  FloatImageType::IndexType index{};
  index += offset0;
 
  AliveImage->SetPixel(index, 1.0);
 
  // setup a 'trial image'
  auto TrialImage = FloatImageType::New();
  TrialImage->SetLargestPossibleRegion(region);
  TrialImage->SetBufferedRegion(region);
  TrialImage->Allocate();
  TrialImage->FillBuffer(0.0);
 
  index[0] += 1;
  TrialImage->SetPixel(index, 1.0);
 
  index[0] -= 1;
  index[1] += 1;
  TrialImage->SetPixel(index, 1.0);
 
  index[0] -= 1;
  index[1] -= 1;
  TrialImage->SetPixel(index, 1.0);
 
  index[0] += 1;
  index[1] -= 1;
  TrialImage->SetPixel(index, 1.0);
 
  marcher->SetInput(speedImage);
 
  using AdaptorType = itk::FastMarchingImageToNodePairContainerAdaptor<FloatImageType, FloatImageType, FloatImageType>;
 
  auto adaptor = AdaptorType::New();
 
  adaptor->SetAliveImage(AliveImage.GetPointer());
  adaptor->SetAliveValue(0.0);
 
  adaptor->SetTrialImage(TrialImage.GetPointer());
  adaptor->SetTrialValue(1.0);
  adaptor->Update();
 
  marcher->SetAlivePoints(adaptor->GetAlivePoints());
  marcher->SetTrialPoints(adaptor->GetTrialPoints());
 
  try
  {
    itk::WriteImage(marcher->GetOutput(), argv[1]);
  }
  catch (const itk::ExceptionObject & error)
  {
    std::cerr << "Error: " << error << std::endl;
    return EXIT_FAILURE;
  }
 
  return EXIT_SUCCESS;
}