int main()
{
  FloatVectorImageType::Pointer image = FloatVectorImageType::New();
  Testing::GetBlankImage(image.GetPointer(), 4);

  Mask::Pointer mask = Mask::New();
  Testing::GetFullyValidMask(mask.GetPointer());

  UnsignedCharScalarImageType::Pointer manualPriorityImage = UnsignedCharScalarImageType::New();
  Testing::GetBlankImage(manualPriorityImage.GetPointer());

  unsigned int patchRadius = 5;
  typedef PriorityConfidence ConfidencePriorityType;
  ConfidencePriorityType priorityConfidence(mask, patchRadius);
  
  PriorityManual<itk::Index<2>, UnsignedCharScalarImageType, ConfidencePriorityType>
      priority(manualPriorityImage, &priorityConfidence);

  itk::Index<2> filledPixel = {{0,0}};
  priority.Update(filledPixel);
  priority.SetManualPriorityImage(manualPriorityImage);

  itk::Index<2> queryPixel = {{0,0}};
  priority.ComputePriority(queryPixel);

  return EXIT_SUCCESS;
}
int main(int argc, char *argv[])
{
  if(argc != 4)
    {
    std::cerr << "Required arguments: image mask output" << std::endl;
    return EXIT_FAILURE;
    }
  std::string imageFilename = argv[1];
  std::string maskFilename = argv[2];
  std::string outputFilename = argv[3];

  Mask::Pointer mask = Mask::New();
  mask->Read(maskFilename);

  typedef itk::Image<unsigned char, 2> ImageType;
  ImageType::Pointer image = ImageType::New();
  ITKHelpers::ReadImage(imageFilename, image.GetPointer());

  FastDigitalInpainting fastDigitalInpainting;
  fastDigitalInpainting.SetImage(image);
  fastDigitalInpainting.SetMask(mask);
  fastDigitalInpainting.SetNumberOfIterations(100);
  fastDigitalInpainting.Inpaint();

  ITKHelpers::WriteImage(fastDigitalInpainting.GetOutput(), outputFilename);
  return EXIT_SUCCESS;
}
void CriminisiInpainting::InitializeConfidence()
{

  // Clone the mask - we need to invert the mask to actually perform the masking, but we don't want to disturb the original mask
  Mask::Pointer maskClone = Mask::New();
  //Helpers::DeepCopy<Mask>(this->CurrentMask, maskClone);
  maskClone->DeepCopyFrom(this->CurrentMask);
  
  // Invert the mask
  typedef itk::InvertIntensityImageFilter <Mask> InvertIntensityImageFilterType;

  InvertIntensityImageFilterType::Pointer invertIntensityFilter = InvertIntensityImageFilterType::New();
  invertIntensityFilter->SetInput(maskClone);
  //invertIntensityFilter->InPlaceOn();
  invertIntensityFilter->Update();

  // Convert the inverted mask to floats and scale them to between 0 and 1
  // to serve as the initial confidence image
  typedef itk::RescaleIntensityImageFilter< Mask, FloatScalarImageType > RescaleFilterType;
  RescaleFilterType::Pointer rescaleFilter = RescaleFilterType::New();
  rescaleFilter->SetInput(invertIntensityFilter->GetOutput());
  rescaleFilter->SetOutputMinimum(0);
  rescaleFilter->SetOutputMaximum(1);
  rescaleFilter->Update();

  Helpers::DeepCopy<FloatScalarImageType>(rescaleFilter->GetOutput(), this->ConfidenceImage);
  //WriteImage<FloatImageType>(this->ConfidenceImage, "InitialConfidence.mhd");
}
void CriminisiInpainting::UpdateMask(const itk::Index<2> inputPixel)
{
  try
  {
    // Create a black patch
    Mask::Pointer blackPatch = Mask::New();
    //Helpers::CreateBlankPatch<UnsignedCharScalarImageType>(blackPatch, this->PatchRadius[0]);
    Helpers::CreateConstantPatch<Mask>(blackPatch, this->CurrentMask->GetValidValue(), this->PatchRadius[0]);
    itk::Index<2> pixel;
    pixel[0] = inputPixel[0] - blackPatch->GetLargestPossibleRegion().GetSize()[0]/2;
    pixel[1] = inputPixel[1] - blackPatch->GetLargestPossibleRegion().GetSize()[1]/2;

    // Paste it into the mask
    typedef itk::PasteImageFilter <Mask, Mask> PasteImageFilterType;
    PasteImageFilterType::Pointer pasteFilter = PasteImageFilterType::New();
    //pasteFilter->SetInput(0, this->CurrentMask);
    //pasteFilter->SetInput(1, blackPatch);
    pasteFilter->SetSourceImage(blackPatch);
    pasteFilter->SetDestinationImage(this->CurrentMask);
    pasteFilter->SetSourceRegion(blackPatch->GetLargestPossibleRegion());
    pasteFilter->SetDestinationIndex(pixel);
    pasteFilter->Update();

    // Not sure how Mask::DeepCopyFrom would work on the output of a filter, so do this manually.
    Helpers::DeepCopy<Mask>(pasteFilter->GetOutput(), this->CurrentMask);
    this->CurrentMask->SetHoleValue(this->OriginalMask->GetHoleValue());
    this->CurrentMask->SetValidValue(this->OriginalMask->GetValidValue());
  }
  catch( itk::ExceptionObject & err )
  {
    std::cerr << "ExceptionObject caught in UpdateMask!" << std::endl;
    std::cerr << err << std::endl;
    exit(-1);
  }
}
Exemplo n.º 5
0
int main(int argc, char*argv[])
{
  if(argc != 3)
    {
    std::cerr << "Required arguments: mask output" << std::endl;
    return EXIT_FAILURE;
    }

  std::string maskFilename = argv[1];
  std::string outputFilename = argv[2];

  std::cout << "Reading mask: " << maskFilename << std::endl;
  std::cout << "Output: " << outputFilename << std::endl;

  Mask::Pointer mask = Mask::New();
  mask->Read(maskFilename.c_str());

  Mask::BoundaryImageType::Pointer boundaryImage = Mask::BoundaryImageType::New();
  boundaryImage->SetRegions(mask->GetLargestPossibleRegion());
  boundaryImage->Allocate();
  
//  mask->CreateBoundaryImage(boundaryImage.GetPointer(), mask->GetValidValue());
  mask->CreateBoundaryImage(boundaryImage.GetPointer(), Mask::VALID);
  
  ITKHelpers::WriteImage(boundaryImage.GetPointer(), outputFilename);

  return EXIT_SUCCESS;
}
int main()
{
  typedef itk::Image<itk::CovariantVector<float, 3>, 2> ImageType;
//  typedef FloatVectorImageType ImageType;
  ImageType::Pointer image = ImageType::New();
  Testing::GetBlankImage(image.GetPointer(), 4);

  Mask::Pointer mask = Mask::New();
  Testing::GetFullyValidMask(mask.GetPointer());

  unsigned int patchRadius = 5;
  PriorityCriminisi<ImageType> priority(image.GetPointer(), mask.GetPointer(),
                                                   patchRadius);

  itk::Index<2> sourcePixel;
  sourcePixel.Fill(0);

  itk::Index<2> targetPixel;
  targetPixel.Fill(1);

  priority.Update(sourcePixel, targetPixel);

  itk::Index<2> queryPixel = {{0,0}};
  priority.ComputePriority(queryPixel);

  return EXIT_SUCCESS;
}
// Run with: image.png image.mask 15 filled.png
int main(int argc, char *argv[])
{
  // Verify arguments
  if(argc != 5)
  {
    std::cerr << "Required arguments: image.png image.mask patchHalfWidth output.png" << std::endl;
    std::cerr << "Input arguments: ";
    for(int i = 1; i < argc; ++i)
    {
      std::cerr << argv[i] << " ";
    }
    return EXIT_FAILURE;
  }

  // Parse arguments
  std::string imageFilename = argv[1];
  std::string maskFilename = argv[2];

  std::stringstream ssPatchRadius;
  ssPatchRadius << argv[3];
  unsigned int patchHalfWidth = 0;
  ssPatchRadius >> patchHalfWidth;

  std::string outputFilename = argv[4];

  // Output arguments
  std::cout << "Reading image: " << imageFilename << std::endl;
  std::cout << "Reading mask: " << maskFilename << std::endl;
  std::cout << "Patch half width: " << patchHalfWidth << std::endl;
  std::cout << "Output: " << outputFilename << std::endl;

  typedef itk::Image<itk::CovariantVector<float, 3>, 2> ImageType;

  typedef  itk::ImageFileReader<ImageType> ImageReaderType;
  ImageReaderType::Pointer imageReader = ImageReaderType::New();
  imageReader->SetFileName(imageFilename);
  imageReader->Update();

  ImageType::Pointer image = ImageType::New();
  ITKHelpers::DeepCopy(imageReader->GetOutput(), image.GetPointer());

  Mask::Pointer mask = Mask::New();
  mask->Read(maskFilename);

  std::cout << "Mask size: " << mask->GetLargestPossibleRegion().GetSize() << std::endl;
  std::cout << "hole pixels: " << mask->CountHolePixels() << std::endl;
  std::cout << "valid pixels: " << mask->CountValidPixels() << std::endl;

  // Setup the GUI system
  QApplication app( argc, argv );
  // Without this, after we close the first dialog
  // (after the first iteration that is not accepted automatically), the event loop quits.
  app.setQuitOnLastWindowClosed(false);

  DummyPatchesDriver(image, mask, patchHalfWidth);

  return app.exec();
}
Exemplo n.º 8
0
void Mask::CreateBoundaryImageInRegion(const itk::ImageRegion<2>& region, BoundaryImageType* const boundaryImage,
                                       const HoleMaskPixelTypeEnum& whichSideOfBoundary) const
{
  // Create a binary image of the mask
  unsigned char holeColor = 255;
  unsigned char validColor = 0;
  UnsignedCharImageType::Pointer fullBinaryImage = UnsignedCharImageType::New();
  CreateBinaryImageInRegion(region, fullBinaryImage, holeColor, validColor);

  // Extract the relevant region from the binary image
  UnsignedCharImageType::Pointer binaryImage = UnsignedCharImageType::New();
  binaryImage->SetRegions(region);
  binaryImage->Allocate();
  CopyRegion(fullBinaryImage.GetPointer(), binaryImage.GetPointer(), region, region);

  // Extract the relevant region from the mask
  Mask::Pointer extractedRegionMask = Mask::New();
  extractedRegionMask->SetRegions(region);
  extractedRegionMask->Allocate();
  CopyRegion(this, extractedRegionMask.GetPointer(), region, region);

  // Since the hole is white (we have specified this at the beginning of this function),
  // we want the foreground value of the contour filter to be black.
  // This means that the boundary will be detected in the black pixel region,
  // which is on the outside edge of the hole like we want. However,
  // The BinaryContourImageFilter will change all non-boundary pixels to the background color,
  // so the resulting output will be inverted - the boundary pixels will be black and the
  // non-boundary pixels will be white.

  // Find the boundary
  typedef itk::BinaryContourImageFilter<UnsignedCharImageType, UnsignedCharImageType> binaryContourImageFilterType;
  binaryContourImageFilterType::Pointer binaryContourFilter = binaryContourImageFilterType::New();
  binaryContourFilter->SetInput(binaryImage);
  binaryContourFilter->SetFullyConnected(true);

  if(whichSideOfBoundary == HoleMaskPixelTypeEnum::VALID)
  {
    // we want the boundary pixels to be in the valid region.
      binaryContourFilter->SetForegroundValue(validColor);
      binaryContourFilter->SetBackgroundValue(holeColor);
  }
  else if(whichSideOfBoundary == HoleMaskPixelTypeEnum::HOLE)
  {
    // we want the boundary pixels to be in the hole region.
      binaryContourFilter->SetForegroundValue(holeColor);
      binaryContourFilter->SetBackgroundValue(validColor);
  }
  else
  {
    throw std::runtime_error("An invalid side of the boundary was requested.");
  }

  binaryContourFilter->Update();

  DeepCopy(binaryContourFilter->GetOutput(), boundaryImage);
}
void Vector()
{
  typedef itk::Image<unsigned char, 2 >  ChannelType;
  const unsigned int NumberOfChannels = 3;
  typedef itk::Image<itk::CovariantVector<unsigned char, NumberOfChannels>, 2 >  ImageType;

  ImageType::Pointer image = ImageType::New();
  itk::Index<2> corner = {{0,0}};
  itk::Size<2> imageSize = {{500,500}};
  itk::ImageRegion<2> fullRegion(corner, imageSize);
  image->SetRegions(fullRegion);
  image->Allocate();

  for(unsigned int i = 0; i < NumberOfChannels; ++i)
  {
    itk::RandomImageSource<ChannelType>::Pointer randomImageSource =
      itk::RandomImageSource<ChannelType>::New();
    randomImageSource->SetNumberOfThreads(1); // to produce non-random results
    randomImageSource->SetSize(imageSize);
    randomImageSource->Update();

    ITKHelpers::SetChannel(image.GetPointer(), i, randomImageSource->GetOutput());
  }

  itk::Size<2> patchSize = {{21,21}};

  // There is nothing magic about these particular patches
  itk::Index<2> targetCorner = {{319, 302}};
  itk::ImageRegion<2> targetRegion(targetCorner, patchSize);

  itk::Index<2> sourceCorner = {{341, 300}};
  itk::ImageRegion<2> sourceRegion(sourceCorner, patchSize);

  Mask::Pointer mask = Mask::New();
  mask->SetRegions(fullRegion);
  mask->Allocate();
  ITKHelpers::SetImageToConstant(mask.GetPointer(), mask->GetValidValue());

  typedef SumSquaredPixelDifference<ImageType::PixelType> PixelDifferenceType;

  typedef ImagePatchPixelDescriptor<ImageType> PatchType;

  ImagePatchDifference<PatchType, PixelDifferenceType> imagePatchDifference;

  PatchType targetPatch(image, mask, targetRegion);
  PatchType sourcePatch(image, mask, sourceRegion);

  float difference = imagePatchDifference(targetPatch, sourcePatch);

  std::cout << "GMHDifference: " << difference << std::endl;

}
int main(int argc, char*argv[])
{
  if(argc != 4)
    {
    std::cerr << "Required arguments: image mask output" << std::endl;
    return EXIT_FAILURE;
    }

  std::string imageFilename = argv[1];
  std::string maskFilename = argv[2];
  std::string outputFilename = argv[3];

  std::cout << "Reading image: " << imageFilename << std::endl;
  std::cout << "Reading mask: " << maskFilename << std::endl;
  std::cout << "Output: " << outputFilename << std::endl;

  //typedef itk::Image<float, 2> ImageType;

  //typedef itk::Image<itk::CovariantVector<unsigned char, 3>, 2> ImageType;
//   ImageType::PixelType color;
//   color[0] = 0;
//   color[1] = 255;
//   color[2] = 0;

  typedef itk::VectorImage<float, 2> ImageType;
  
//   ImageType::PixelType color;
//   color.SetRed(0);
//   color.SetGreen(255);
//   color.SetBlue(0);


  typedef itk::ImageFileReader<ImageType> ImageReaderType;
  ImageReaderType::Pointer imageReader = ImageReaderType::New();
  imageReader->SetFileName(imageFilename.c_str());
  imageReader->Update();

  ImageType::PixelType value(imageReader->GetOutput()->GetNumberOfComponentsPerPixel());
  value.Fill(0);
  
  Mask::Pointer mask = Mask::New();
  mask->Read(maskFilename.c_str());

  mask->ApplyToImage(imageReader->GetOutput(), value);

  OutputHelpers::WriteImage(imageReader->GetOutput(), outputFilename);

  return EXIT_SUCCESS;
}
Exemplo n.º 11
0
void Mask::FindBoundary(UnsignedCharScalarImageType* boundaryImage) const
{
  // Compute the "outer" boundary of the region to fill. That is, we want the boundary pixels to be in the source region.

  //HelpersOutput::WriteImageConditional<Mask>(this->CurrentMask, "Debug/FindBoundary.CurrentMask.mha", this->DebugImages);
  //HelpersOutput::WriteImageConditional<Mask>(this->CurrentMask, "Debug/FindBoundary.CurrentMask.png", this->DebugImages);

  // Create a binary image (throw away the "dont use" pixels)
  Mask::Pointer holeOnly = Mask::New();
  holeOnly->DeepCopyFrom(this);

  itk::ImageRegionIterator<Mask> maskIterator(holeOnly, holeOnly->GetLargestPossibleRegion());
  // This should result in a white hole on a black background
  while(!maskIterator.IsAtEnd())
    {
    itk::Index<2> currentPixel = maskIterator.GetIndex();
    if(!holeOnly->IsHole(currentPixel))
      {
      holeOnly->SetPixel(currentPixel, holeOnly->GetValidValue());
      }
    ++maskIterator;
    }

  //HelpersOutput::WriteImageConditional<Mask>(holeOnly, "Debug/FindBoundary.HoleOnly.mha", this->DebugImages);
  //HelpersOutput::WriteImageConditional<Mask>(holeOnly, "Debug/FindBoundary.HoleOnly.png", this->DebugImages);

  // Since the hole is white, we want the foreground value of the contour filter to be black. This means that the boundary will
  // be detected in the black pixel region, which is on the outside edge of the hole like we want. However,
  // The BinaryContourImageFilter will change all non-boundary pixels to the background color, so the resulting output will be inverted -
  // the boundary pixels will be black and the non-boundary pixels will be white.

  // Find the boundary
  typedef itk::BinaryContourImageFilter <Mask, Mask> binaryContourImageFilterType;
  binaryContourImageFilterType::Pointer binaryContourFilter = binaryContourImageFilterType::New();
  binaryContourFilter->SetInput(holeOnly);
  binaryContourFilter->SetFullyConnected(true);
  binaryContourFilter->SetForegroundValue(holeOnly->GetValidValue());
  binaryContourFilter->SetBackgroundValue(holeOnly->GetHoleValue());
  binaryContourFilter->Update();

  //HelpersOutput::WriteImageConditional<Mask>(binaryContourFilter->GetOutput(), "Debug/FindBoundary.Boundary.mha", this->DebugImages);
  //HelpersOutput::WriteImageConditional<Mask>(binaryContourFilter->GetOutput(), "Debug/FindBoundary.Boundary.png", this->DebugImages);

  // Since we want to interpret non-zero pixels as boundary pixels, we must invert the image.
  typedef itk::InvertIntensityImageFilter <Mask> InvertIntensityImageFilterType;
  InvertIntensityImageFilterType::Pointer invertIntensityFilter = InvertIntensityImageFilterType::New();
  invertIntensityFilter->SetInput(binaryContourFilter->GetOutput());
  invertIntensityFilter->SetMaximum(255);
  invertIntensityFilter->Update();

  //this->BoundaryImage = binaryContourFilter->GetOutput();
  //this->BoundaryImage->Graft(binaryContourFilter->GetOutput());
  ITKHelpers::DeepCopy<UnsignedCharScalarImageType>(invertIntensityFilter->GetOutput(), boundaryImage);

  //HelpersOutput::WriteImageConditional<UnsignedCharScalarImageType>(this->BoundaryImage, "Debug/FindBoundary.BoundaryImage.mha", this->DebugImages);

}
Exemplo n.º 12
0
static void CreateMask(Mask::Pointer mask)
{
  itk::Size<2> size;
  size.Fill(20);

  itk::Index<2> start;
  start.Fill(0);

  itk::ImageRegion<2> region(start,size);

  mask->SetRegions(region);
  mask->Allocate();
  mask->FillBuffer(mask->GetValidValue());

  itk::ImageRegionIterator<Mask> iterator(mask, mask->GetLargestPossibleRegion());

  while(!iterator.IsAtEnd())
    {
    if(iterator.GetIndex()[0] > 5 && iterator.GetIndex()[0] < 15 &&
       iterator.GetIndex()[1] > 5 && iterator.GetIndex()[1] < 15)
      {
      mask->SetPixel(iterator.GetIndex(), mask->GetHoleValue());
      }

    ++iterator;
    }
}
int main(int argc, char*argv[])
{
  Mask::Pointer mask = Mask::New();
  CreateMask(mask);

  OutputHelpers::WriteImage(mask.GetPointer(), "mask.png");
  
  UnsignedCharScalarImageType::Pointer image = UnsignedCharScalarImageType::New();
  CreateImage(image);
  OutputHelpers::WriteImage(image.GetPointer(), "image.png");
  
  FloatScalarImageType::Pointer output = FloatScalarImageType::New();
  MaskOperations::MaskedLaplacian(image.GetPointer(), mask.GetPointer(), output.GetPointer());

  OutputHelpers::WriteImage(output.GetPointer(), "laplacian.mha");

  return EXIT_SUCCESS;
}
Exemplo n.º 14
0
int main()
{
  FloatVectorImageType::Pointer image = FloatVectorImageType::New();
  Testing::GetBlankImage(image.GetPointer(), 4);

  Mask::Pointer mask = Mask::New();
  Testing::GetFullyValidMask(mask.GetPointer());

  unsigned int patchRadius = 5;
  PriorityDepth<FloatVectorImageType> priority(image, mask, patchRadius);

  itk::Index<2> filledPixel = {{0,0}};
  priority.Update(filledPixel);

  itk::Index<2> queryPixel = {{0,0}};
  priority.ComputePriority(queryPixel);

  return EXIT_SUCCESS;
}
int main(int argc, char*argv[])
{
  if(argc != 2)
    {
    std::cerr << "Required arguments: mask" << std::endl;
    return EXIT_FAILURE;
    }

  std::string maskFilename = argv[1];

  std::cout << "Reading mask: " << maskFilename << std::endl;

  Mask::Pointer mask = Mask::New();
  mask->Read(maskFilename.c_str());

  std::cout << "There are " << mask->CountBoundaryPixels() << " boundary pixels." << std::endl;

  return EXIT_SUCCESS;
}
void Scalar()
{
  typedef itk::Image< unsigned char, 2 >  ImageType;

  itk::Size<2> imageSize = {{500,500}};

  itk::RandomImageSource<ImageType>::Pointer randomImageSource =
    itk::RandomImageSource<ImageType>::New();
  randomImageSource->SetNumberOfThreads(1); // to produce non-random results
  randomImageSource->SetSize(imageSize);
  randomImageSource->Update();

  ImageType* image = randomImageSource->GetOutput();

  itk::Size<2> patchSize = {{21,21}};

  // There is nothing magic about these particular patches
  itk::Index<2> targetCorner = {{319, 302}};
  itk::ImageRegion<2> targetRegion(targetCorner, patchSize);

  itk::Index<2> sourceCorner = {{341, 300}};
  itk::ImageRegion<2> sourceRegion(sourceCorner, patchSize);

  Mask::Pointer mask = Mask::New();
  mask->SetRegions(randomImageSource->GetOutput()->GetLargestPossibleRegion());
  mask->Allocate();
  ITKHelpers::SetImageToConstant(mask.GetPointer(), mask->GetValidValue());

  typedef SumSquaredPixelDifference<ImageType::PixelType> PixelDifferenceType;

  typedef ImagePatchPixelDescriptor<ImageType> PatchType;

  ImagePatchDifference<PatchType, PixelDifferenceType> imagePatchDifference;

  PatchType targetPatch(image, mask, targetRegion);
  PatchType sourcePatch(image, mask, sourceRegion);

  float difference = imagePatchDifference(targetPatch, sourcePatch);

  std::cout << "Difference: " << difference << std::endl;

}
Exemplo n.º 17
0
int main(int argc, char *argv[])
{
  Mask::Pointer mask = Mask::New();
  CreateMask(mask);

  itk::Index<2> queryPixel;
  queryPixel[0] = 5;
  queryPixel[1] = 5;

  FloatVector2Type direction;
  direction[0] = 1;
  direction[1] = 1;
  direction.Normalize();

  itk::Index<2> pixelAcross = mask->FindPixelAcrossHole(queryPixel, direction);

  std::cout << "Pixel across: " << pixelAcross << std::endl;

  //HelpersOutput::WriteImage<Mask>(blurredLuminance, "Test/TestIsophotes.blurred.mha");

  return EXIT_SUCCESS;
}
Exemplo n.º 18
0
int main(int argc, char*argv[])
{
  if(argc < 4)
  {
    std::cerr << "Required arguments: image mask output" << std::endl;
    return EXIT_FAILURE;
  }

  std::string imageFilename = argv[1];
  std::string maskFilename = argv[2];
  std::string outputFilename = argv[3];

  std::cout << "imageFilename: " << imageFilename << std::endl;
  std::cout << "maskFilename: " << maskFilename << std::endl;
  std::cout << "outputFilename: " << outputFilename << std::endl;

  typedef itk::ImageFileReader<ImageType> ImageReaderType;
  ImageReaderType::Pointer imageReader = ImageReaderType::New();
  imageReader->SetFileName(imageFilename);
  imageReader->Update();

  Mask::Pointer sourceMask = Mask::New();
  sourceMask->Read(maskFilename);

  Mask::Pointer targetMask = Mask::New();
  targetMask->SetRegions(sourceMask->GetLargestPossibleRegion());
  targetMask->Allocate();
  ITKHelpers::SetImageToConstant(targetMask.GetPointer(), HoleMaskPixelTypeEnum::VALID);

  typedef SSD<ImageType> DistanceFunctorType;
  DistanceFunctorType* patchDistanceFunctor = new DistanceFunctorType;
  patchDistanceFunctor->SetImage(imageReader->GetOutput());

  typedef Propagator<DistanceFunctorType> PropagatorType;
  PropagatorType* propagationFunctor = new PropagatorType;

  typedef RandomSearch<ImageType, DistanceFunctorType> RandomSearchType;
  RandomSearchType* randomSearchFunctor = new RandomSearchType;

  typedef PatchMatch<ImageType, PropagatorType, RandomSearchType> PatchMatchType;
  PatchMatchType patchMatch;
  patchMatch.SetImage(imageReader->GetOutput());
  patchMatch.SetPatchRadius(3);
  
  patchMatch.SetPropagationFunctor(propagationFunctor);
  patchMatch.SetRandomSearchFunctor(randomSearchFunctor);

  patchMatch.Compute();

  NNFieldType::Pointer output = patchMatch.GetNNField();
  PatchMatchHelpers::WriteNNField(output.GetPointer(), "nnfield.mha");

  return EXIT_SUCCESS;
}
int main(int argc, char*argv[])
{
  if(argc != 5)
    {
    std::cerr << "Required arguments: image mask kernelRadius output" << std::endl;
    return EXIT_FAILURE;
    }

  std::string imageFilename = argv[1];
  std::string maskFilename = argv[2];

  std::stringstream ssRadius;
  ssRadius << argv[3];
  unsigned int kernelRadius = 0;
  ssRadius >> kernelRadius;

  std::string outputFilename = argv[4];

  std::cout << "Reading image: " << imageFilename << std::endl;
  std::cout << "Reading mask: " << maskFilename << std::endl;
  std::cout << "Kernel radius: " << kernelRadius << std::endl;
  std::cout << "Output: " << outputFilename << std::endl;

  typedef itk::Image<float, 2> ImageType;

  typedef itk::ImageFileReader<ImageType> ImageReaderType;
  ImageReaderType::Pointer imageReader = ImageReaderType::New();
  imageReader->SetFileName(imageFilename.c_str());
  imageReader->Update();

  Mask::Pointer mask = Mask::New();
  mask->Read(maskFilename.c_str());

  MaskOperations::MedianFilterInHole(imageReader->GetOutput(), mask, kernelRadius);

  OutputHelpers::WriteImage(imageReader->GetOutput(), outputFilename);

  return EXIT_SUCCESS;
}
void LidarSegmentationWidget::on_btnErodeSources_clicked()
{
  Mask::Pointer sourcesImage = Mask::New();
  sourcesImage->SetRegions(this->ImageRegion);
  ITKHelpers::IndicesToBinaryImage(this->Sources, sourcesImage);

  typedef itk::BinaryBallStructuringElement<Mask::PixelType,2> StructuringElementType;
  StructuringElementType structuringElementBig;
  structuringElementBig.SetRadius(3);
  structuringElementBig.CreateStructuringElement();

  typedef itk::BinaryErodeImageFilter<Mask, Mask, StructuringElementType> BinaryErodeImageFilterType;

  BinaryErodeImageFilterType::Pointer erodeFilter = BinaryErodeImageFilterType::New();
  erodeFilter->SetInput(sourcesImage);
  erodeFilter->SetKernel(structuringElementBig);
  erodeFilter->Update();

  //this->Sources.clear();

  this->Sources = ITKHelpers::GetNonZeroPixels(erodeFilter->GetOutput());

  UpdateSelections();
}
int main()
{
  typedef itk::Image<itk::CovariantVector<float, 3>, 2> ImageType;

  ImageType::Pointer image = ImageType::New();
  Testing::GetBlankImage(image.GetPointer(), 4);

  Mask::Pointer mask = Mask::New();
  Testing::GetFullyValidMask(mask.GetPointer());

  vtkSmartPointer<vtkStructuredGrid> structuredGrid = vtkSmartPointer<vtkStructuredGrid>::New();

  unsigned int patchRadius = 5;
  PriorityCurvature<itk::Index<2> > priority(structuredGrid, patchRadius);

  itk::Index<2> filledPixel = {{0,0}};
  itk::Index<2> sourcePixel = {{0,0}};
  priority.Update(sourcePixel, filledPixel);

  itk::Index<2> queryPixel = {{0,0}};
  priority.ComputePriority(queryPixel);

  return EXIT_SUCCESS;
}
//BasicViewerWidget<TImage>::BasicViewerWidget(TImage* const image, Mask* const mask) :
BasicViewerWidget<TImage>::BasicViewerWidget(typename TImage::Pointer image, Mask::Pointer mask) :
  Image(image), MaskImage(mask)
{
  qRegisterMetaType<itk::ImageRegion<2> >("itkImageRegion");

  this->setupUi(this);

  int dims[3];
  this->ImageLayer.ImageData->GetDimensions(dims);

  typename TImage::Pointer tempImage = TImage::New();
  ITKHelpers::DeepCopy(image.GetPointer(), tempImage.GetPointer());

  typename TImage::PixelType zeroPixel(tempImage->GetNumberOfComponentsPerPixel());
  zeroPixel = itk::NumericTraits<typename TImage::PixelType>::ZeroValue(zeroPixel);
  mask->ApplyToImage(tempImage.GetPointer(), zeroPixel);
  ITKVTKHelpers::ITKVectorImageToVTKImageFromDimension(tempImage.GetPointer(), this->ImageLayer.ImageData);

//   if(chkScaleImage->isChecked())
//   {
//     VTKHelpers::ScaleImage(this->ImageLayer.ImageData);
//   }

  this->ImageDimension[0] = dims[0];
  this->ImageDimension[1] = dims[1];
  this->ImageDimension[2] = dims[2];

  SetupScenes();

//  this->InteractorStyle = vtkSmartPointer<InteractorStyleImageWithDrag>::New();
  this->InteractorStyle = vtkSmartPointer<vtkInteractorStyleImage>::New();

  this->Renderer = vtkSmartPointer<vtkRenderer>::New();
  this->qvtkWidget->GetRenderWindow()->AddRenderer(this->Renderer);

  this->Renderer->AddViewProp(ImageLayer.ImageSlice);

  this->InteractorStyle->SetCurrentRenderer(this->Renderer);
  this->qvtkWidget->GetRenderWindow()->GetInteractor()->SetInteractorStyle(this->InteractorStyle);
//  this->InteractorStyle->Init();

//  this->Camera = new ImageCamera(this->Renderer);
  this->ItkVtkCamera = new ITKVTKCamera(this->InteractorStyle, this->Renderer,
                                        this->qvtkWidget->GetRenderWindow());
  this->ItkVtkCamera->SetCameraPositionPNG();
}
Exemplo n.º 23
0
int main(int argc, char* argv[])
{
  // Verify arguments
  if(argc < 5)
  {
    std::cout << "Usage: PatchImage repeatX repeatY outputImage" << std::endl;
    return EXIT_FAILURE;
  }

  // Parse arguments
  std::string patchImageFilename = argv[1];

  std::stringstream ssRepeatX;
  ssRepeatX << argv[2];
  unsigned int repeatX = 0;
  ssRepeatX >> repeatX;

  std::stringstream ssRepeatY;
  ssRepeatY << argv[3];
  unsigned int repeatY = 0;
  ssRepeatY >> repeatY;

  std::string outputFilename = argv[4];

  // Output arguments
  std::cout << "Patch image: " << patchImageFilename << std::endl
            << "Repeat X: " << repeatX << std::endl
            << "Repeat Y: " << repeatY << std::endl
            << "Output image: " << outputFilename << std::endl;

  //typedef itk::VectorImage<float, 2> ImageType;
  typedef itk::Image<itk::CovariantVector<float, 3>, 2> ImageType;

  // Read patch image
  typedef itk::ImageFileReader<ImageType> ImageReaderType;
  ImageReaderType::Pointer patchImageReader = ImageReaderType::New();
  patchImageReader->SetFileName(patchImageFilename);
  patchImageReader->Update();

  Mask::Pointer mask = Mask::New();
  itk::ImageRegion<2> patchRegion = patchImageReader->GetOutput()->GetLargestPossibleRegion();
  mask->SetRegions(patchRegion);
  mask->Allocate();

  itk::Index<2> holeCorner = {{1,1}};
  itk::Size<2> holeSize = patchRegion.GetSize();
  holeSize[0] -= 2; // Missing one row on the top, and one row on the bottom
  holeSize[1] -= 2; // Missing one column on the left, and one column on the right
  itk::ImageRegion<2> holeRegion(holeCorner, holeSize);
  mask->SetValid(patchRegion);
  mask->SetHole(holeRegion);


  ImageType::Pointer seamlessPatch = ImageType::New();
  ITKHelpers::DeepCopy(patchImageReader->GetOutput(), seamlessPatch.GetPointer());

  // Enforce periodic boundary conditions
  // Top and bottom
  for(int i = 0; i < static_cast<int>(patchRegion.GetSize()[1]); ++i)
  {
      itk::Index<2> topPixelIndex = {{0, i}};
      itk::Index<2> bottomPixelIndex = {{static_cast<int>(patchRegion.GetSize()[0])-1, i}};
      ImageType::PixelType topPixelValue = seamlessPatch->GetPixel(topPixelIndex);
      ImageType::PixelType bottomPixelValue = seamlessPatch->GetPixel(bottomPixelIndex);
      ImageType::PixelType averageValue = (topPixelValue + bottomPixelValue)/2.0f;
      seamlessPatch->SetPixel(topPixelIndex, averageValue);
      seamlessPatch->SetPixel(bottomPixelIndex, averageValue);
  }

  // Left and right
  for(int i = 0; i < static_cast<int>(patchRegion.GetSize()[0]); ++i)
  {
      itk::Index<2> leftPixelIndex = {{i, 0}};
      itk::Index<2> rightPixelIndex = {{i, static_cast<int>(patchRegion.GetSize()[1])-1}};
      ImageType::PixelType leftPixelValue = seamlessPatch->GetPixel(leftPixelIndex);
      ImageType::PixelType rightPixelValue = seamlessPatch->GetPixel(rightPixelIndex);
      ImageType::PixelType averageValue = (leftPixelValue + rightPixelValue)/2.0f;
      seamlessPatch->SetPixel(leftPixelIndex, averageValue);
      seamlessPatch->SetPixel(rightPixelIndex, averageValue);
  }

  typedef PoissonEditingParent::GuidanceFieldType GuidanceFieldType;

  std::vector<GuidanceFieldType::Pointer> guidanceFields = PoissonEditingParent::ComputeGuidanceField(patchImageReader->GetOutput());

  ImageType::Pointer output = ImageType::New();

  FillImage(seamlessPatch.GetPointer(), mask.GetPointer(),
            guidanceFields, output.GetPointer(),
            patchRegion, seamlessPatch.GetPointer());


  // Write output
  ITKHelpers::WriteRGBImage(output.GetPointer(), outputFilename);

  // Original tiled
  ImageType::Pointer originalTiled = ImageType::New();
  TilePatch(patchImageReader->GetOutput(), repeatX, repeatY, originalTiled.GetPointer());
  ITKHelpers::WriteRGBImage(originalTiled.GetPointer(), "original_tiled.png");

  // Seamless tiled
  ImageType::Pointer seamlessTiled = ImageType::New();
  TilePatch(output.GetPointer(), repeatX, repeatY, seamlessTiled.GetPointer());
  ITKHelpers::WriteRGBImage(seamlessTiled.GetPointer(), "seamless_tiled.png");

  return EXIT_SUCCESS;
}
int main(int argc, char *argv[])
{
  // Verify arguments
  if(argc != 5)
  {
    std::cerr << "Required arguments: image.png imageMask.mask patchHalfWidth targetPatch.png" << std::endl;
    std::cerr << "Input arguments: ";
    for(int i = 1; i < argc; ++i)
    {
      std::cerr << argv[i] << " ";
    }
    return EXIT_FAILURE;
  }

  // Parse arguments
  std::string imageFilename = argv[1];
  std::string maskFilename = argv[2];

  std::stringstream ssPatchHalfWidth;
  ssPatchHalfWidth << argv[3];
  unsigned int patchHalfWidth = 0;
  ssPatchHalfWidth >> patchHalfWidth;

  std::string targetPatchFileName = argv[4];

  // Output arguments
  std::cout << "Reading image: " << imageFilename << std::endl;
  std::cout << "Reading mask: " << maskFilename << std::endl;
  std::cout << "Patch half width: " << patchHalfWidth << std::endl;
  std::cout << "targetPatchFileName: " << targetPatchFileName << std::endl;

  typedef itk::Image<itk::CovariantVector<int, 3>, 2> OriginalImageType;

  typedef  itk::ImageFileReader<OriginalImageType> ImageReaderType;
  ImageReaderType::Pointer imageReader = ImageReaderType::New();
  imageReader->SetFileName(imageFilename);
  imageReader->Update();

  OriginalImageType* originalImage = imageReader->GetOutput();

  Mask::Pointer mask = Mask::New();
  mask->Read(maskFilename);

  itk::ImageRegion<2> fullRegion = originalImage->GetLargestPossibleRegion();

  // Blur the image
//  typedef TImage BlurredImageType; // Usually the blurred image is the same type as the original image.
//  typename BlurredImageType::Pointer blurredImage = BlurredImageType::New();
//  float blurVariance = 2.0f;
////  float blurVariance = 1.2f;
//  MaskOperations::MaskedBlur(originalImage.GetPointer(), mask, blurVariance, blurredImage.GetPointer());

//  ITKHelpers::WriteRGBImage(blurredImage.GetPointer(), "BlurredImage.png");

  typedef ImagePatchPixelDescriptor<OriginalImageType> ImagePatchPixelDescriptorType;

  // Create the graph
  typedef boost::grid_graph<2> VertexListGraphType;
  boost::array<std::size_t, 2> graphSideLengths = { { fullRegion.GetSize()[0],
                                                      fullRegion.GetSize()[1] } };
  std::shared_ptr<VertexListGraphType> graph(new VertexListGraphType(graphSideLengths));
  typedef boost::graph_traits<VertexListGraphType>::vertex_descriptor VertexDescriptorType;
  typedef boost::graph_traits<VertexListGraphType>::vertex_iterator VertexIteratorType;

  // Queue
  typedef IndirectPriorityQueue<VertexListGraphType> BoundaryNodeQueueType;
  std::shared_ptr<BoundaryNodeQueueType> boundaryNodeQueue(new BoundaryNodeQueueType(*graph));

  // Create the descriptor map. This is where the data for each pixel is stored.
  typedef boost::vector_property_map<ImagePatchPixelDescriptorType,
      BoundaryNodeQueueType::IndexMapType> ImagePatchDescriptorMapType;
  std::shared_ptr<ImagePatchDescriptorMapType> imagePatchDescriptorMap(new
      ImagePatchDescriptorMapType(num_vertices(*graph), *(boundaryNodeQueue->GetIndexMap())));

  // Create the descriptor visitor
  typedef ImagePatchDescriptorVisitor<VertexListGraphType, OriginalImageType, ImagePatchDescriptorMapType>
      ImagePatchDescriptorVisitorType;
  std::shared_ptr<ImagePatchDescriptorVisitorType> imagePatchDescriptorVisitor(new
      ImagePatchDescriptorVisitorType(originalImage, mask,
//        ImagePatchDescriptorVisitorType(blurredImage.GetPointer(), mask,
                                      imagePatchDescriptorMap, patchHalfWidth));

  // Create the inpainting visitor
//  typedef InpaintingVisitor<VertexListGraphType, BoundaryNodeQueueType,
//                            ImagePatchDescriptorVisitorType, AcceptanceVisitorType, PriorityType>
//                            InpaintingVisitorType;
//  std::shared_ptr<InpaintingVisitorType> inpaintingVisitor(new InpaintingVisitorType(mask, boundaryNodeQueue,
//                                          imagePatchDescriptorVisitor, acceptanceVisitor,
//                                          priorityFunction, patchHalfWidth, "InpaintingVisitor"));
//  inpaintingVisitor->SetAllowNewPatches(false);

//  // Initialize the boundary node queue from the user provided mask image.
//  InitializeFromMaskImage<InpaintingVisitorType, VertexDescriptorType>(mask, inpaintingVisitor.get());

//  // Create the nearest neighbor finder
//  typedef ImagePatchDifference<ImagePatchPixelDescriptorType,
//      SumSquaredPixelDifference<typename TImage::PixelType> > PatchDifferenceType;

//  // Write top patch grid at each iteration. To do this, we need a KNNSearcher
//  // to pass a list of valid patches to the FirstAndWrite class.
//  typedef LinearSearchKNNProperty<ImagePatchDescriptorMapType,
//                                  PatchDifferenceType > KNNSearchType;

//  unsigned int knn = 100;
//  std::shared_ptr<KNNSearchType> knnSearch(new KNNSearchType(imagePatchDescriptorMap, knn));

//  typedef LinearSearchBestFirstAndWrite<ImagePatchDescriptorMapType, TImage,
//                                   PatchDifferenceType> BestSearchType;
//  std::shared_ptr<BestSearchType> linearSearchBest(
//        new BestSearchType(*imagePatchDescriptorMap, originalImage, mask));

////  typedef KNNBestWrapper<KNNSearchType, BestSearchType> KNNWrapperType;
////  std::shared_ptr<KNNWrapperType> knnWrapper(new KNNWrapperType(knnSearch,
////                                                                linearSearchBest));


  return EXIT_SUCCESS;
}
// Run with: Data/trashcan.png Data/trashcan.mask 15 filled.png
int main(int argc, char *argv[])
{
  // Verify arguments
  if(argc != 5)
  {
    std::cerr << "Required arguments: image.png imageMask.mask patchHalfWidth output.png" << std::endl;
    std::cerr << "Input arguments: ";
    for(int i = 1; i < argc; ++i)
    {
      std::cerr << argv[i] << " ";
    }
    return EXIT_FAILURE;
  }

  // Parse arguments
  std::string imageFilename = argv[1];
  std::string maskFilename = argv[2];

  std::stringstream ssPatchHalfWidth;
  ssPatchHalfWidth << argv[3];
  unsigned int patchHalfWidth = 0;
  ssPatchHalfWidth >> patchHalfWidth;

  std::string outputFileName = argv[4];

  // Output arguments
  std::cout << "Reading image: " << imageFilename << std::endl;
  std::cout << "Reading mask: " << maskFilename << std::endl;
  std::cout << "Patch half width: " << patchHalfWidth << std::endl;
  std::cout << "Output: " << outputFileName << std::endl;

  typedef itk::Image<itk::CovariantVector<int, 3>, 2> OriginalImageType;

  typedef  itk::ImageFileReader<OriginalImageType> ImageReaderType;
  ImageReaderType::Pointer imageReader = ImageReaderType::New();
  imageReader->SetFileName(imageFilename);
  imageReader->Update();

//  OriginalImageType* originalImage = imageReader->GetOutput();

  OriginalImageType::Pointer originalImage = OriginalImageType::New();
  ITKHelpers::DeepCopy(imageReader->GetOutput(), originalImage.GetPointer());

  Mask::Pointer mask = Mask::New();
  mask->Read(maskFilename);

  ClassicalImageInpaintingDebug(originalImage, mask, patchHalfWidth);

  // If the output filename is a png file, then use the RGBImage writer so that it is first
  // casted to unsigned char. Otherwise, write the file directly.
  if(Helpers::GetFileExtension(outputFileName) == "png")
  {
    ITKHelpers::WriteRGBImage(originalImage.GetPointer(), outputFileName);
  }
  else
  {
    ITKHelpers::WriteImage(originalImage.GetPointer(), outputFileName);
  }

  return EXIT_SUCCESS;
}
// Run with: Data/trashcan.mha Data/trashcan_mask.mha 15 Data/trashcan.vtp Intensity filled.mha
int main(int argc, char *argv[])
{
  // Verify arguments
  if(argc != 6)
    {
    std::cerr << "Required arguments: image.mha imageMask.mha patch_half_width normals.vts output.mha" << std::endl;
    std::cerr << "Input arguments: ";
    for(int i = 1; i < argc; ++i)
      {
      std::cerr << argv[i] << " ";
      }
    return EXIT_FAILURE;
    }

  // Parse arguments
  std::string imageFilename = argv[1];
  std::string maskFilename = argv[2];

  std::stringstream ssPatchRadius;
  ssPatchRadius << argv[3];
  unsigned int patch_half_width = 0;
  ssPatchRadius >> patch_half_width;

  std::string normalsFileName = argv[4];

  std::string outputFilename = argv[5];

  // Output arguments
  std::cout << "Reading image: " << imageFilename << std::endl;
  std::cout << "Reading mask: " << maskFilename << std::endl;
  std::cout << "Patch half width: " << patch_half_width << std::endl;
  std::cout << "Reading normals: " << normalsFileName << std::endl;
  std::cout << "Output: " << outputFilename << std::endl;

  vtkSmartPointer<vtkXMLStructuredGridReader> structuredGridReader = vtkSmartPointer<vtkXMLStructuredGridReader>::New();
  structuredGridReader->SetFileName(normalsFileName.c_str());
  structuredGridReader->Update();
  
  typedef FloatVectorImageType ImageType;

  typedef  itk::ImageFileReader<ImageType> ImageReaderType;
  ImageReaderType::Pointer imageReader = ImageReaderType::New();
  imageReader->SetFileName(imageFilename);
  imageReader->Update();

  ImageType::Pointer image = ImageType::New();
  ITKHelpers::DeepCopy(imageReader->GetOutput(), image.GetPointer());

  Mask::Pointer mask = Mask::New();
  mask->Read(maskFilename);

  std::cout << "hole pixels: " << mask->CountHolePixels() << std::endl;
  std::cout << "valid pixels: " << mask->CountValidPixels() << std::endl;

  typedef ImagePatchPixelDescriptor<ImageType> ImagePatchPixelDescriptorType;
  typedef FeatureVectorPixelDescriptor FeatureVectorPixelDescriptorType;

  // Create the graph
  typedef boost::grid_graph<2> VertexListGraphType;
  boost::array<std::size_t, 2> graphSideLengths = { { imageReader->GetOutput()->GetLargestPossibleRegion().GetSize()[0],
                                                      imageReader->GetOutput()->GetLargestPossibleRegion().GetSize()[1] } };
  VertexListGraphType graph(graphSideLengths);
  typedef boost::graph_traits<VertexListGraphType>::vertex_descriptor VertexDescriptorType;

  // Get the index map
  typedef boost::property_map<VertexListGraphType, boost::vertex_index_t>::const_type IndexMapType;
  IndexMapType indexMap(get(boost::vertex_index, graph));

  // Create the priority map
  typedef boost::vector_property_map<float, IndexMapType> PriorityMapType;
  PriorityMapType priorityMap(num_vertices(graph), indexMap);

  // Create the node fill status map. Each pixel is either filled (true) or not filled (false).
  typedef boost::vector_property_map<bool, IndexMapType> FillStatusMapType;
  FillStatusMapType fillStatusMap(num_vertices(graph), indexMap);

  // Create the boundary status map. A node is on the current boundary if this property is true. 
  // This property helps the boundaryNodeQueue because we can mark here if a node has become no longer
  // part of the boundary, so when the queue is popped we can check this property to see if it should
  // actually be processed.
  typedef boost::vector_property_map<bool, IndexMapType> BoundaryStatusMapType;
  BoundaryStatusMapType boundaryStatusMap(num_vertices(graph), indexMap);

  // Create the descriptor map. This is where the data for each pixel is stored.
  typedef boost::vector_property_map<ImagePatchPixelDescriptorType, IndexMapType> ImagePatchDescriptorMapType;
  ImagePatchDescriptorMapType imagePatchDescriptorMap(num_vertices(graph), indexMap);

  // Create the descriptor map. This is where the data for each pixel is stored.
  typedef boost::vector_property_map<FeatureVectorPixelDescriptorType, IndexMapType> FeatureVectorDescriptorMapType;
  FeatureVectorDescriptorMapType featureVectorDescriptorMap(num_vertices(graph), indexMap);

  // Create the patch inpainter. The inpainter needs to know the status of each pixel to determine if they should be inpainted.
  typedef MaskedGridPatchInpainter<FillStatusMapType> InpainterType;
  InpainterType patchInpainter(patch_half_width, fillStatusMap);

  // Create the priority function
  typedef PriorityRandom PriorityType;
  PriorityType priorityFunction;

  // Create the boundary node queue. The priority of each node is used to order the queue.
  typedef boost::vector_property_map<std::size_t, IndexMapType> IndexInHeapMap;
  IndexInHeapMap index_in_heap(indexMap);

  // Create the priority compare functor
  typedef std::less<float> PriorityCompareType;
  PriorityCompareType lessThanFunctor;

  typedef boost::d_ary_heap_indirect<VertexDescriptorType, 4, IndexInHeapMap, PriorityMapType, PriorityCompareType> BoundaryNodeQueueType;
  BoundaryNodeQueueType boundaryNodeQueue(priorityMap, index_in_heap, lessThanFunctor);

  // Create the descriptor visitors
  typedef FeatureVectorPrecomputedStructuredGridNormalsDescriptorVisitor<VertexListGraphType, FeatureVectorDescriptorMapType> FeatureVectorPrecomputedStructuredGridNormalsDescriptorVisitorType;
  FeatureVectorPrecomputedStructuredGridNormalsDescriptorVisitorType featureVectorPrecomputedStructuredGridNormalsDescriptorVisitor(featureVectorDescriptorMap, structuredGridReader->GetOutput());

  typedef ImagePatchDescriptorVisitor<VertexListGraphType, ImageType, ImagePatchDescriptorMapType> ImagePatchDescriptorVisitorType;
  ImagePatchDescriptorVisitorType imagePatchDescriptorVisitor(image, mask, imagePatchDescriptorMap, patch_half_width);

  typedef CompositeDescriptorVisitor<VertexListGraphType> CompositeDescriptorVisitorType;
  CompositeDescriptorVisitorType compositeDescriptorVisitor;
  compositeDescriptorVisitor.AddVisitor(&imagePatchDescriptorVisitor);
  compositeDescriptorVisitor.AddVisitor(&featureVectorPrecomputedStructuredGridNormalsDescriptorVisitor);

  // Create the inpainting visitor
  typedef InpaintingVisitor<VertexListGraphType, ImageType, BoundaryNodeQueueType, FillStatusMapType,
                            CompositeDescriptorVisitorType, PriorityType, PriorityMapType, BoundaryStatusMapType> InpaintingVisitorType;
  InpaintingVisitorType inpaintingVisitor(image, mask, boundaryNodeQueue, fillStatusMap,
                                          compositeDescriptorVisitor, priorityMap, &priorityFunction, patch_half_width, boundaryStatusMap);

  InitializePriority(mask, boundaryNodeQueue, priorityMap, &priorityFunction, boundaryStatusMap);

  // Initialize the boundary node queue from the user provided mask image.
  InitializeFromMaskImage(mask, &inpaintingVisitor, graph, fillStatusMap);
  std::cout << "PatchBasedInpaintingNonInteractive: There are " << boundaryNodeQueue.size()
            << " nodes in the boundaryNodeQueue" << std::endl;

  // Create the nearest neighbor finder
//   typedef LinearSearchKNNProperty<FeatureVectorDescriptorMapType, FeatureVectorAngleDifference> KNNSearchType;
//   KNNSearchType linearSearchKNN(featureVectorDescriptorMap);
  typedef LinearSearchCriteriaProperty<FeatureVectorDescriptorMapType, FeatureVectorAngleDifference> ThresholdSearchType;
  //float maximumAngle = 0.34906585; // ~ 20 degrees
  float maximumAngle = 0.15; // ~ 10 degrees
  //float maximumAngle = 0.08; // ~ 5 degrees (this seems to be too strict)
  ThresholdSearchType thresholdSearchType(featureVectorDescriptorMap, maximumAngle);

  typedef LinearSearchBestProperty<ImagePatchDescriptorMapType, ImagePatchDifference<ImagePatchPixelDescriptorType> > BestSearchType;
  BestSearchType linearSearchBest(imagePatchDescriptorMap);

  TwoStepNearestNeighbor<ThresholdSearchType, BestSearchType> twoStepNearestNeighbor(thresholdSearchType, linearSearchBest);

  // Perform the inpainting
  std::cout << "Performing inpainting...: " << std::endl;
  inpainting_loop(graph, inpaintingVisitor, boundaryStatusMap, boundaryNodeQueue, twoStepNearestNeighbor, patchInpainter);

  HelpersOutput::WriteImage<ImageType>(image, outputFilename);

  return EXIT_SUCCESS;
}
Exemplo n.º 27
0
int main(int argc, char *argv[])
{
  // Verify arguments
  if(argc != 5)
    {
    std::cerr << "Required arguments: image imageMask patchRadius outputPrefix" << std::endl;
    return EXIT_FAILURE;
    }

  // Parse arguments
  std::string imageFilename = argv[1];
  std::string maskFilename = argv[2];

  std::stringstream ssPatchRadius;
  ssPatchRadius << argv[3];
  int patchRadius = 0;
  ssPatchRadius >> patchRadius;

  std::string outputPrefix = argv[4];

  // Output arguments
  std::cout << "Reading image: " << imageFilename << std::endl;
  std::cout << "Reading mask: " << maskFilename << std::endl;
  std::cout << "Patch radius: " << patchRadius << std::endl;
  //std::cout << "Output: " << outputFilename << std::endl;

  typedef  itk::ImageFileReader< FloatVectorImageType > ImageReaderType;
  ImageReaderType::Pointer imageReader = ImageReaderType::New();
  imageReader->SetFileName(imageFilename.c_str());
  imageReader->Update();

  FloatVectorImageType::Pointer scaledImage = FloatVectorImageType::New();
  // Initialize
  Helpers::DeepCopy<FloatVectorImageType>(imageReader->GetOutput(), scaledImage);

  std::vector<float> maxValues = Helpers::MaxValuesVectorImage<float>(imageReader->GetOutput());

  // Scale all channels the same
//   for(unsigned int channel = 0; channel < imageReader->GetOutput()->GetNumberOfComponentsPerPixel(); ++channel)
//     {
//     Helpers::ScaleChannel<float>(imageReader->GetOutput(), channel, 1.0f, scaledImage);
//     }

  // Scale color channels
  for(unsigned int channel = 0; channel < 3; ++channel)
    {
    Helpers::ScaleChannel<float>(scaledImage, channel, 0.33f, scaledImage);
    }

  // Scale depth channel
  Helpers::ScaleChannel<float>(scaledImage, 3, 1.0f, scaledImage);

  Helpers::WriteImage<FloatVectorImageType>(scaledImage, "scaled.mha");

  typedef  itk::ImageFileReader< Mask > MaskReaderType;
  MaskReaderType::Pointer maskReader = MaskReaderType::New();
  maskReader->SetFileName(maskFilename.c_str());
  maskReader->Update();

  Mask::Pointer finalMask = Mask::New();
  ModifyMask(maskReader->GetOutput(), patchRadius, finalMask);

  cout.setf(ios::showpoint);

  std::vector<float> lambdas;
  for(unsigned int i = 0; i <= 10; ++i)
    {
    lambdas.push_back(0.1f * static_cast<float>(i));
    std::cout << "Using lambda " << lambdas[i] << std::endl;
    }

  std::shared_ptr<SelfPatchCompare> patchCompare(new SelfPatchCompare);
  patchCompare->SetNumberOfComponentsPerPixel(imageReader->GetOutput()->GetNumberOfComponentsPerPixel());
  //patchCompare->FunctionsToCompute.push_back(boost::bind(&SelfPatchCompare::SetPatchAverageAbsoluteSourceDifference,patchCompare,_1));
  patchCompare->FunctionsToCompute.push_back(boost::bind(&SelfPatchCompare::SetPatchColorDifference,patchCompare,_1));
  patchCompare->FunctionsToCompute.push_back(boost::bind(&SelfPatchCompare::SetPatchDepthDifference,patchCompare,_1));

  std::ofstream fout("scores.txt");

  fout.setf(ios::showpoint);
  for(unsigned int lambdaId = 0; lambdaId < lambdas.size(); ++lambdaId)
    {
    // Inpaint
    std::cout << "Inpainting with lambda = " << lambdas[lambdaId] << std::endl;

    PatchPair::DepthColorLambda = lambdas[lambdaId];

    CriminisiInpainting inpainting;
    //inpainting.SetDebugFunctionEnterLeave(true);
    inpainting.SetPatchRadius(patchRadius);
    inpainting.SetImage(scaledImage);
    inpainting.SetMask(finalMask);
    inpainting.SetMaxForwardLookPatches(3);
    inpainting.SetPatchCompare(patchCompare);

    inpainting.PatchSortFunction = &SortByDepthAndColor;
    //inpainting.PatchSortFunction = &SortByAverageAbsoluteDifference;

    //DepthAndColorDifference = ColorDifference * Lambda + (1.0 - Lambda) * DepthDifference;
    // When lambda = 0, only the depth is used
    // When lambda = 1, only the color is used

    inpainting.Initialize();
    inpainting.Inpaint();

    // Compute error
    itk::ImageRegionIterator<Mask> iterator(finalMask, finalMask->GetLargestPossibleRegion());
    float depthError = 0.0f;
    float colorError = 0.0f;

    while(!iterator.IsAtEnd())
      {
      if(finalMask->IsHole(iterator.GetIndex()))
	{
	colorError += ColorPixelDifference::Difference(scaledImage->GetPixel(iterator.GetIndex()), inpainting.GetCurrentOutputImage()->GetPixel(iterator.GetIndex()));
	depthError += DepthPixelDifference::Difference(scaledImage->GetPixel(iterator.GetIndex()), inpainting.GetCurrentOutputImage()->GetPixel(iterator.GetIndex()));
	}
      ++iterator;
      }
    std::cout << "colorError: " << colorError << std::endl;
    std::cout << "depthError: " << depthError << std::endl;

    fout << colorError << " " << depthError << std::endl;

    // Unscale all channels
    for(unsigned int channel = 0; channel < imageReader->GetOutput()->GetNumberOfComponentsPerPixel(); ++channel)
      {
      Helpers::ScaleChannel<float>(inpainting.GetCurrentOutputImage(), channel, maxValues[channel], inpainting.GetCurrentOutputImage());
      }

    std::stringstream ssFloat;
    ssFloat.setf(ios::showpoint);
    ssFloat << outputPrefix << "_float_lambda_" << lambdas[lambdaId] << ".mha";
    Helpers::WriteImage<FloatVectorImageType>(inpainting.GetCurrentOutputImage(), ssFloat.str());

    std::stringstream ssRGB;
    ssRGB.setf(ios::showpoint);
    ssRGB << outputPrefix << "_RGB_lambda_" << lambdas[lambdaId] << ".mha";
    Helpers::WriteVectorImageAsRGB(inpainting.GetCurrentOutputImage(), ssRGB.str());
    //Helpers::WriteVectorImageAsRGB(inpainting.GetCurrentOutputImage(), Helpers::ReplaceFileExtension(ss.str(), "png"));
    }

  fout.close();

  return EXIT_SUCCESS;
}
int main(int argc, char*argv[])
{
  // Parse the input
  if(argc < 6)
  {
    std::cerr << "Required arguments: image sourceMask.mask targetMask.mask patchRadius output" << std::endl;
    return EXIT_FAILURE;
  }

  std::stringstream ss;
  for(int i = 1; i < argc; ++i)
  {
    ss << argv[i] << " ";
  }

  std::string imageFilename;
  std::string sourceMaskFilename;
  std::string targetMaskFilename;
  unsigned int patchRadius;
  std::string outputFilename;

  ss >> imageFilename >> sourceMaskFilename >> targetMaskFilename >> patchRadius >> outputFilename;

  // Output the parsed values
  std::cout << "imageFilename: " << imageFilename << std::endl
            << "sourceMaskFilename: " << sourceMaskFilename << std::endl
            << "targetMaskFilename: " << targetMaskFilename << std::endl
            << "patchRadius: " << patchRadius << std::endl
            << "outputFilename: " << outputFilename << std::endl;

  typedef itk::Image<itk::CovariantVector<unsigned char, 3>, 2> ImageType;

  // Read the image and the masks
  typedef itk::ImageFileReader<ImageType> ImageReaderType;
  ImageReaderType::Pointer imageReader = ImageReaderType::New();
  imageReader->SetFileName(imageFilename);
  imageReader->Update();

  ImageType* image = imageReader->GetOutput();

  Mask::Pointer sourceMask = Mask::New();
  sourceMask->Read(sourceMaskFilename);

  Mask::Pointer targetMask = Mask::New();
  targetMask->Read(targetMaskFilename);

  //std::cout << "target mask has " << targetMask->CountHolePixels() << " hole pixels." << std::endl;

  // Poisson fill the input image
  typedef PoissonEditing<typename TypeTraits<ImageType::PixelType>::ComponentType> PoissonEditingType;

  typename PoissonEditingType::GuidanceFieldType::Pointer zeroGuidanceField =
            PoissonEditingType::GuidanceFieldType::New();
  zeroGuidanceField->SetRegions(image->GetLargestPossibleRegion());
  zeroGuidanceField->Allocate();
  typename PoissonEditingType::GuidanceFieldType::PixelType zeroPixel;
  zeroPixel.Fill(0);
  ITKHelpers::SetImageToConstant(zeroGuidanceField.GetPointer(), zeroPixel);

  PoissonEditingType::FillImage(image, targetMask,
                                zeroGuidanceField.GetPointer(), image);

  ITKHelpers::WriteRGBImage(image, "PoissonFilled.png");

  // PatchMatch requires that the target region be specified by valid pixels
  targetMask->InvertData();

  // Setup the patch distance functor
  SSD<ImageType> ssdFunctor;
  ssdFunctor.SetImage(image);

  // Setup the PatchMatch functor
  //PatchMatch<ImageType> patchMatchFunctor;
  PatchMatchRings<ImageType> patchMatchFunctor;
  patchMatchFunctor.SetPatchRadius(patchRadius);
  patchMatchFunctor.SetPatchDistanceFunctor(&ssdFunctor);
  patchMatchFunctor.SetIterations(1);

  InitializerRandom<ImageType> initializer;
  initializer.SetImage(image);
  initializer.SetTargetMask(targetMask);
  initializer.SetSourceMask(sourceMask);
  initializer.SetPatchDistanceFunctor(&ssdFunctor);
  initializer.SetPatchRadius(patchRadius);
  patchMatchFunctor.SetInitializer(&initializer);

  // Test the result of PatchMatch here
   patchMatchFunctor.SetRandom(false);

  // Here, the source match and target match are the same, specifying the classicial
  // "use pixels outside the hole to fill the pixels inside the hole".
  // In an interactive algorith, the user could manually specify a source region,
  // improving the resulting inpainting.
  BDSInpaintingMultiRes<ImageType> bdsInpainting;
  bdsInpainting.SetPatchRadius(patchRadius);
  bdsInpainting.SetImage(image);
  bdsInpainting.SetSourceMask(sourceMask);
  bdsInpainting.SetTargetMask(targetMask);

  bdsInpainting.SetIterations(1);
  //bdsInpainting.SetIterations(4);

  Compositor<ImageType> compositor;
  compositor.SetCompositingMethod(Compositor<ImageType>::AVERAGE);
  bdsInpainting.SetCompositor(&compositor);

  bdsInpainting.SetPatchMatchFunctor(&patchMatchFunctor);
  bdsInpainting.Inpaint();

  ITKHelpers::WriteRGBImage(bdsInpainting.GetOutput(), outputFilename);

  return EXIT_SUCCESS;
}
Exemplo n.º 29
0
void TestComputeMaskedImage1DHistogram()
{
//  // Single channel
//  {
//  typedef itk::Image<unsigned char, 2> ImageType;
//  ImageType::Pointer image = ImageType::New();
//  ImageType::IndexType corner = {{0,0}};

//  ImageType::SizeType size = {{100,100}};

//  ImageType::RegionType region(corner, size);

//  image->SetRegions(region);
//  image->Allocate();

//  itk::ImageRegionIterator<ImageType> imageIterator(image,region);

//  while(!imageIterator.IsAtEnd())
//    {
//    if(imageIterator.GetIndex()[0] < 70)
//      {
//      imageIterator.Set(255);
//      }
//    else
//      {
//      imageIterator.Set(0);
//      }

//    ++imageIterator;
//    }

//  ImageType::PixelType rangeMin = 0;
//  ImageType::PixelType rangeMax = 255;

//  unsigned int numberOfBins = 10;
//  typedef int BinValueType;
//  typedef Histogram<BinValueType>::HistogramType HistogramType;

//  HistogramType histogram = Histogram<BinValueType>::ComputeImageHistogram1D(image.GetPointer(),
//                                                         image->GetLargestPossibleRegion(),
//                                                         numberOfBins, rangeMin, rangeMax);

//  Histogram<BinValueType>::OutputHistogram(histogram);
//  std::cout << std::endl;
//  }

   // Multi channel VectorImage
   {
   typedef itk::VectorImage<unsigned char, 2> ImageType;
   ImageType::Pointer image = ImageType::New();
   ImageType::IndexType corner = {{0,0}};

   ImageType::SizeType size = {{100,100}};

   ImageType::RegionType region(corner, size);

   image->SetRegions(region);
   image->SetNumberOfComponentsPerPixel(3);
   image->Allocate();

   Mask::Pointer mask = Mask::New();
   mask->SetRegions(region);
   mask->Allocate();

   itk::ImageRegionIterator<ImageType> imageIterator(image,region);

   while(!imageIterator.IsAtEnd())
   {
     ImageType::PixelType pixel(image->GetNumberOfComponentsPerPixel());
     if(imageIterator.GetIndex()[0] < 70)
     {
       for(unsigned int i = 0; i < pixel.GetSize(); ++i)
       {
         pixel[i] = 255;
       }
     }
     else
     {
       for(unsigned int i = 0; i < pixel.GetSize(); ++i)
       {
         pixel[i] = 0;
       }
     }
     imageIterator.Set(pixel);
     ++imageIterator;
   }

//   TypeTraits<ImageType::PixelType>::ComponentType rangeMin = 0;
//   TypeTraits<ImageType::PixelType>::ComponentType rangeMax = 255;

   ImageType::PixelType rangeMins;
   rangeMins.SetSize(image->GetNumberOfComponentsPerPixel());
   rangeMins.Fill(0);

   ImageType::PixelType rangeMaxs;
   rangeMaxs.SetSize(image->GetNumberOfComponentsPerPixel());
   rangeMaxs.Fill(255);

   unsigned int numberOfBinsPerComponent = 10;
   typedef int BinValueType;

   itk::ImageRegion<2> imageRegion = image->GetLargestPossibleRegion();
   itk::ImageRegion<2> maskRegion = image->GetLargestPossibleRegion();

   typedef MaskedHistogramGenerator<BinValueType> HistogramGeneratorType;
   typedef HistogramGeneratorType::HistogramType HistogramType;

   bool allowOutside = false;

   HistogramType histogram =
       HistogramGeneratorType::ComputeMaskedImage1DHistogram(image.GetPointer(), imageRegion,
                                                      mask.GetPointer(), maskRegion,
                                                      numberOfBinsPerComponent, rangeMins, rangeMaxs,
                                                      allowOutside, HoleMaskPixelTypeEnum::VALID);

   histogram.Print();
   std::cout << std::endl;
   }

//  // Multi channel Image<CovariantVector>
//  {
//  typedef itk::Image<itk::CovariantVector<unsigned char, 3>, 2> ImageType;
//  ImageType::Pointer image = ImageType::New();
//  ImageType::IndexType corner = {{0,0}};

//  ImageType::SizeType size = {{100,100}};

//  ImageType::RegionType region(corner, size);

//  image->SetRegions(region);
//  image->Allocate();

//  itk::ImageRegionIterator<ImageType> imageIterator(image,region);

//  while(!imageIterator.IsAtEnd())
//    {
//    ImageType::PixelType pixel(image->GetNumberOfComponentsPerPixel());
//    if(imageIterator.GetIndex()[0] < 70)
//      {
//      for(unsigned int i = 0; i < pixel.GetNumberOfComponents(); ++i)
//        {
//        pixel[i] = 255;
//        }
//      }
//    else
//      {
//      for(unsigned int i = 0; i < pixel.GetNumberOfComponents(); ++i)
//        {
//        pixel[i] = 0;
//        }
//      }
//    imageIterator.Set(pixel);
//    ++imageIterator;
//    }

//  TypeTraits<ImageType::PixelType>::ComponentType rangeMin = 0;
//  TypeTraits<ImageType::PixelType>::ComponentType rangeMax = 255;

//  unsigned int numberOfBinsPerComponent = 10;
//  typedef int BinValueType;
//  Histogram<BinValueType>::HistogramType histogram = Histogram<BinValueType>::ComputeImageHistogram1D(image.GetPointer(),
//                                                         image->GetLargestPossibleRegion(),
//                                                         numberOfBinsPerComponent, rangeMin, rangeMax);

//  Histogram<BinValueType>::OutputHistogram(histogram);
//  std::cout << std::endl;
//  }
}
// Run with: Data/trashcan.mha Data/trashcan_mask.mha 15 filled.mha
int main(int argc, char *argv[])
{
  // Verify arguments
  if(argc != 6)
    {
    std::cerr << "Required arguments: image.mha imageMask.mha patchHalfWidth neighborhoodRadius output.mha" << std::endl;
    std::cerr << "Input arguments: ";
    for(int i = 1; i < argc; ++i)
      {
      std::cerr << argv[i] << " ";
      }
    return EXIT_FAILURE;
    }

  // Parse arguments
  std::string imageFileName = argv[1];
  std::string maskFileName = argv[2];

  std::stringstream ssPatchRadius;
  ssPatchRadius << argv[3];
  unsigned int patchHalfWidth = 0;
  ssPatchRadius >> patchHalfWidth;

  // The percent of the image size to use as the neighborhood (0 - 1)
  std::stringstream ssNeighborhoodPercent;
  ssNeighborhoodPercent << argv[4];
  float neighborhoodPercent = 0;
  ssNeighborhoodPercent >> neighborhoodPercent;

  std::string outputFileName = argv[5];

  // Output arguments
  std::cout << "Reading image: " << imageFileName << std::endl;
  std::cout << "Reading mask: " << maskFileName << std::endl;
  std::cout << "Patch half width: " << patchHalfWidth << std::endl;
  std::cout << "Neighborhood percent: " << neighborhoodPercent << std::endl;
  std::cout << "Output: " << outputFileName << std::endl;

  typedef itk::Image<itk::CovariantVector<int, 3>, 2> ImageType;

  typedef  itk::ImageFileReader<ImageType> ImageReaderType;
  ImageReaderType::Pointer imageReader = ImageReaderType::New();
  imageReader->SetFileName(imageFileName);
  imageReader->Update();

  ImageType::Pointer image = ImageType::New();
  ITKHelpers::DeepCopy(imageReader->GetOutput(), image.GetPointer());

  Mask::Pointer mask = Mask::New();
  mask->Read(maskFileName);

  std::cout << "hole pixels: " << mask->CountHolePixels() << std::endl;
  std::cout << "valid pixels: " << mask->CountValidPixels() << std::endl;

  typedef ImagePatchPixelDescriptor<ImageType> ImagePatchPixelDescriptorType;

  // Create the graph
  typedef boost::grid_graph<2> VertexListGraphType;
  boost::array<std::size_t, 2> graphSideLengths = { { imageReader->GetOutput()->GetLargestPossibleRegion().GetSize()[0],
                                                      imageReader->GetOutput()->GetLargestPossibleRegion().GetSize()[1] } };
//  VertexListGraphType graph(graphSideLengths);
  std::shared_ptr<VertexListGraphType> graph(new VertexListGraphType(graphSideLengths));
  typedef boost::graph_traits<VertexListGraphType>::vertex_descriptor VertexDescriptorType;


  //ImagePatchDescriptorMapType smallImagePatchDescriptorMap(num_vertices(graph), indexMap);

  // Create the patch inpainter. The inpainter needs to know the status of each pixel to determine if they should be inpainted.

  typedef PatchInpainter<ImageType> ImageInpainterType;
  std::shared_ptr<ImageInpainterType> imagePatchInpainter(new
      ImageInpainterType(patchHalfWidth, image, mask));

  // Create the priority function
   typedef PriorityRandom PriorityType;
   std::shared_ptr<PriorityType> priorityFunction(new PriorityType);
//  typedef PriorityCriminisi<ImageType> PriorityType;
//  std::shared_ptr<PriorityType> priorityFunction(new PriorityType(image, mask, patchHalfWidth));

  typedef IndirectPriorityQueue<VertexListGraphType> BoundaryNodeQueueType;
  std::shared_ptr<BoundaryNodeQueueType> boundaryNodeQueue(new BoundaryNodeQueueType(*graph));

  // Create the descriptor map. This is where the data for each pixel is stored.
  typedef boost::vector_property_map<ImagePatchPixelDescriptorType, BoundaryNodeQueueType::IndexMapType> ImagePatchDescriptorMapType;
//  ImagePatchDescriptorMapType imagePatchDescriptorMap(num_vertices(graph), indexMap);
  std::shared_ptr<ImagePatchDescriptorMapType> imagePatchDescriptorMap(new
      ImagePatchDescriptorMapType(num_vertices(*graph), *(boundaryNodeQueue->GetIndexMap())));

  // Create the descriptor visitor
  typedef ImagePatchDescriptorVisitor<VertexListGraphType, ImageType, ImagePatchDescriptorMapType>
          ImagePatchDescriptorVisitorType;
//  ImagePatchDescriptorVisitorType imagePatchDescriptorVisitor(image, mask, imagePatchDescriptorMap, patchHalfWidth);
  std::shared_ptr<ImagePatchDescriptorVisitorType> imagePatchDescriptorVisitor(new
      ImagePatchDescriptorVisitorType(image.GetPointer(), mask,
                                      imagePatchDescriptorMap, patchHalfWidth));
/*   ImagePatchDescriptorVisitor(TImage* const in_image, Mask* const in_mask,
  std::shared_ptr<TDescriptorMap> in_descriptorMap,
  const unsigned int in_half_width) : */
  typedef ImagePatchDifference<ImagePatchPixelDescriptorType, SumAbsolutePixelDifference<ImageType::PixelType> >
            ImagePatchDifferenceType;

//  typedef CompositeDescriptorVisitor<VertexListGraphType> CompositeDescriptorVisitorType;
//  CompositeDescriptorVisitorType compositeDescriptorVisitor;
//  compositeDescriptorVisitor.AddVisitor(imagePatchDescriptorVisitor);

  // Create the descriptor visitor


//  typedef CompositeAcceptanceVisitor<VertexListGraphType> CompositeAcceptanceVisitorType;
//  CompositeAcceptanceVisitorType compositeAcceptanceVisitor;

  typedef DefaultAcceptanceVisitor<VertexListGraphType> AcceptanceVisitorType;
  std::shared_ptr<AcceptanceVisitorType> acceptanceVisitor(new AcceptanceVisitorType);

//  typedef AlwaysAccept<VertexListGraphType> AcceptanceVisitorType;
//  AcceptanceVisitorType acceptanceVisitor;



  // If the hole is less than 15% of the patch, always accept the initial best match
//  HoleSizeAcceptanceVisitor<VertexListGraphType> holeSizeAcceptanceVisitor(mask, patchHalfWidth, .15);
//  compositeAcceptanceVisitor.AddOverrideVisitor(&holeSizeAcceptanceVisitor);

//  AllQuadrantHistogramCompareAcceptanceVisitor<VertexListGraphType, ImageType>
//               allQuadrantHistogramCompareAcceptanceVisitor(image, mask, patchHalfWidth, 8.0f); // Crazy low
//  compositeAcceptanceVisitor.AddRequiredPassVisitor(&allQuadrantHistogramCompareAcceptanceVisitor);

//  template <typename TGraph, typename TBoundaryNodeQueue,
//            typename TDescriptorVisitor, typename TAcceptanceVisitor, typename TPriority>

  typedef InpaintingVisitor<VertexListGraphType, BoundaryNodeQueueType,
                            ImagePatchDescriptorVisitorType, AcceptanceVisitorType, PriorityType>
                            InpaintingVisitorType;
  std::shared_ptr<InpaintingVisitorType> inpaintingVisitor(new InpaintingVisitorType(mask, boundaryNodeQueue,
                                                                                     imagePatchDescriptorVisitor, acceptanceVisitor,
                                                                                     priorityFunction, patchHalfWidth, "InpaintingVisitor"));

//  typedef InpaintingVisitor<VertexListGraphType, BoundaryNodeQueueType,
//                            ImagePatchDescriptorVisitorType, AcceptanceVisitorType, PriorityType>
//                            InpaintingVisitorType;
//  std::shared_ptr<InpaintingVisitorType> inpaintingVisitor(new InpaintingVisitorType(mask, boundaryNodeQueue,
//                                          imagePatchDescriptorVisitor, acceptanceVisitor,
//                                          priorityFunction, patchHalfWidth, "InpaintingVisitor"));

//  typedef DebugVisitor<VertexListGraphType, ImageType, BoundaryStatusMapType, BoundaryNodeQueueType> DebugVisitorType;
//  DebugVisitorType debugVisitor(image, mask, patchHalfWidth, boundaryStatusMap, boundaryNodeQueue);

  LoggerVisitor<VertexListGraphType> loggerVisitor("log.txt");

  InitializePriority(mask, boundaryNodeQueue.get(), priorityFunction.get());
  // Initialize the boundary node queue from the user provided mask image.
  InitializeFromMaskImage<InpaintingVisitorType, VertexDescriptorType>(mask, inpaintingVisitor.get());

  // For debugging we use LinearSearchBestProperty instead of DefaultSearchBest because it can output the difference value.
  typedef LinearSearchBestProperty<ImagePatchDescriptorMapType,
                                   ImagePatchDifferenceType > BestSearchType;
  std::shared_ptr<BestSearchType> linearSearchBest(new BestSearchType(*imagePatchDescriptorMap));

  typedef NeighborhoodSearch<VertexDescriptorType, ImagePatchDescriptorMapType> NeighborhoodSearchType;
  NeighborhoodSearchType neighborhoodSearch(image->GetLargestPossibleRegion(), image->GetLargestPossibleRegion().GetSize()[0] * neighborhoodPercent, *imagePatchDescriptorMap);
  
  InpaintingAlgorithmWithLocalSearch<VertexListGraphType, InpaintingVisitorType,
                      BoundaryNodeQueueType, NeighborhoodSearchType,
                      ImageInpainterType, BestSearchType>(graph, inpaintingVisitor, boundaryNodeQueue,
                      linearSearchBest, imagePatchInpainter, neighborhoodSearch);

  // If the output filename is a png file, then use the RGBImage writer so that it is first
  // casted to unsigned char. Otherwise, write the file directly.
  if(Helpers::GetFileExtension(outputFileName) == "png")
  {
    ITKHelpers::WriteRGBImage(image.GetPointer(), outputFileName);
  }
  else
  {
    ITKHelpers::WriteImage(image.GetPointer(), outputFileName);
  }

  return EXIT_SUCCESS;
}