SphinxExamples/src/Segmentation/LevelSetsv4Visualization/VisualizeStaticShi2DLevelSetLayers/Code.cxx

/*=========================================================================
 *
 *  Copyright Insight Software Consortium
 *
 *  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
 *
 *         http://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 "itkVTKVisualize2DSparseLevelSetLayers.h"

#include "itkBinaryImageToLevelSetImageAdaptor.h"
#include "itkImageFileReader.h"
#include "itkShiSparseLevelSetImage.h"

#include "itkOtsuMultipleThresholdsImageFilter.h"
#include "itkRescaleIntensityImageFilter.h"
#include "vtkRenderWindowInteractor.h"

int main( int argc, char* argv[] )
{
  if( argc != 3 )
    {
    std::cerr << "Missing Arguments" << std::endl;
    std::cerr << argv[0] << std::endl;
    std::cerr << "<Input Image> <Interactive (0 or 1)>" << std::endl;
    return EXIT_FAILURE;
    }

  // Image Dimension
  constexpr unsigned int Dimension = 2;

  using InputPixelType = unsigned char;
  using InputImageType = itk::Image< InputPixelType, Dimension >;

  // Read input image (to be processed).
  using ReaderType = itk::ImageFileReader< InputImageType >;
  ReaderType::Pointer reader = ReaderType::New();
  reader->SetFileName( argv[1] );
  reader->Update();

  InputImageType::Pointer input = reader->GetOutput();

  using LevelSetType = itk::ShiSparseLevelSetImage< Dimension >;

  // Generate a binary mask that will be used as initialization for the level
  // set evolution.
  using OtsuFilterType = itk::OtsuMultipleThresholdsImageFilter< InputImageType, InputImageType >;
  OtsuFilterType::Pointer otsu = OtsuFilterType::New();
  otsu->SetInput( input );
  otsu->SetNumberOfHistogramBins( 256 );
  otsu->SetNumberOfThresholds( 1 );

  using RescaleType = itk::RescaleIntensityImageFilter< InputImageType, InputImageType >;
  RescaleType::Pointer rescaler = RescaleType::New();
  rescaler->SetInput( otsu->GetOutput() );
  rescaler->SetOutputMinimum( 0 );
  rescaler->SetOutputMaximum( 1 );

  // convert a binary mask to a level-set function
  using BinaryImageToLevelSetType = itk::BinaryImageToLevelSetImageAdaptor< InputImageType,
    LevelSetType >;

  BinaryImageToLevelSetType::Pointer adaptor = BinaryImageToLevelSetType::New();
  adaptor->SetInputImage( rescaler->GetOutput() );
  adaptor->Initialize();

  LevelSetType::Pointer levelSet = adaptor->GetModifiableLevelSet();

  // Create the visualizer
  using VisualizationType = itk::VTKVisualize2DSparseLevelSetLayers< InputImageType, LevelSetType >;
  VisualizationType::Pointer visualizer = VisualizationType::New();
  visualizer->SetInputImage( input );
  visualizer->SetLevelSet( levelSet );
  visualizer->SetScreenCapture( true );

  vtkSmartPointer<vtkRenderWindowInteractor> renderWindowInteractor =
      vtkSmartPointer<vtkRenderWindowInteractor>::New();
  renderWindowInteractor->SetRenderWindow( visualizer->GetRenderWindow() );

  try
    {
    visualizer->Update();
    }
  catch( itk::ExceptionObject & error )
    {
    std::cerr << "Error: " << error << std::endl;
    return EXIT_FAILURE;
    }

  bool interactive = ( atoi( argv[2] ) != 0 );
  if( interactive )
    {
    renderWindowInteractor->Start();
    }

  return EXIT_SUCCESS;
}