C++ Pointer::SetRegions方法代码示例

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;
    }
}

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);
}

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;
}

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;

}

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;

}

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();
}

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;
//.........这里部分代码省略.........

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");

//.........这里部分代码省略.........

int main(int, char*[])
{
//  typedef itk::Image<itk::CovariantVector<int, 3>, 2> ImageType;
  typedef itk::Image<itk::CovariantVector<unsigned char, 3>, 2> ImageType;

  ImageType::PixelType red;
  red.Fill(0);
  red[0] = 255;

  ImageType::PixelType black;
  black.Fill(0);

  ImageType::PixelType white;
  white.Fill(255);

  ImageType::PixelType green; // Note this is not 255 because then the magnitude of red and green would be the same,
  // which makes debugging hard since the gradient of the magnitude image is used internally (in IntroducedEnergy).
  green.Fill(0);
  green[1] = 122;

  ImageType::PixelType blue;
  blue.Fill(0);
  blue[2] = 255;

  ImageType::Pointer image = ImageType::New();
  itk::Index<2> imageCorner = {{0,0}};
  itk::Size<2> imageSize = {{100,100}};

  itk::ImageRegion<2> region(imageCorner,imageSize);
  image->SetRegions(region);
  image->Allocate();

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

  itk::ImageRegionIteratorWithIndex<Mask> initializeMaskIterator(mask, mask->GetLargestPossibleRegion());

  while(!initializeMaskIterator.IsAtEnd())
  {
    if(initializeMaskIterator.GetIndex()[0] < 55)
    {
      initializeMaskIterator.Set(mask->GetHoleValue());
    }
    else
    {
      initializeMaskIterator.Set(mask->GetValidValue());
    }

    ++initializeMaskIterator;
  }

  ITKHelpers::WriteImage(mask.GetPointer(), "mask.png");

  // Create a red image
  itk::ImageRegionIterator<ImageType> initializeIterator(image, image->GetLargestPossibleRegion());

  while(!initializeIterator.IsAtEnd())
  {
    initializeIterator.Set(red);

    ++initializeIterator;
  }

  // Setup source and target patch
  itk::Size<2> patchSize = {{10,10}};

  itk::Index<2> sourceCorner = {{10,10}};
  itk::ImageRegion<2> sourceRegion(sourceCorner, patchSize);

  itk::Index<2> targetCorner = {{50,50}};
  itk::ImageRegion<2> targetRegion(targetCorner, patchSize);

  itk::Index<2> perfectSourceCorner = {{75,75}};
  itk::ImageRegion<2> perfectSourceRegion(perfectSourceCorner, patchSize);

  // Make the source patch green
  itk::ImageRegionIterator<ImageType> sourceRegionIterator(image, sourceRegion);

  while(!sourceRegionIterator.IsAtEnd())
  {
    sourceRegionIterator.Set(green);

    ++sourceRegionIterator;
  }

  ITKHelpers::WriteImage(image.GetPointer(), "image.png");

  {
    ImageType::Pointer regionHighlightImage = ImageType::New();
    ITKHelpers::DeepCopy(image.GetPointer(), regionHighlightImage.GetPointer());

    ITKHelpers::OutlineRegion(regionHighlightImage.GetPointer(), sourceRegion, white);
    ITKHelpers::OutlineRegion(regionHighlightImage.GetPointer(), targetRegion, black);
    ITKHelpers::OutlineRegion(regionHighlightImage.GetPointer(), perfectSourceRegion, blue);

    ITKHelpers::WriteImage(regionHighlightImage.GetPointer(), "regions.png");
  }

  IntroducedEnergy<ImageType> introducedEnergy;
//.........这里部分代码省略.........

int main(int argc, char *argv[])
{
  unsigned int t = time(NULL);
  srand(t);

  itk::Size<2> size;
  size.Fill(100);

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

  itk::ImageRegion<2> region(index, size);
/*
  // Generate a random image (this method doesn't work with VectorImage)
  itk::RandomImageSource<FloatVectorImageType>::Pointer imageSource =
    itk::RandomImageSource<FloatVectorImageType>::New();
  imageSource->SetNumberOfThreads(1); // to produce non-random results
  imageSource->SetSize(size);
  imageSource->SetMin(0);
  imageSource->SetMax(100);
  imageSource->Update();
  FloatVectorImageType::Pointer image = imageSource->GetOutput();
*/
  // Generate a random image
  FloatVectorImageType::Pointer image = FloatVectorImageType::New();
  image->SetRegions(region);
  image->SetNumberOfComponentsPerPixel(3);
  image->Allocate();

  {
  itk::ImageRegionIterator<FloatVectorImageType> imageIterator(image, image->GetLargestPossibleRegion());

  while(!imageIterator.IsAtEnd())
    {
    FloatVectorImageType::PixelType pixel;
    pixel.SetSize(3);
    pixel[0] = drand48();
    pixel[1] = drand48();
    pixel[2] = drand48();
    imageIterator.Set(pixel);
    ++imageIterator;
    }
  }

  // Generate a random membership image
  IntImageType::Pointer membershipImage = IntImageType::New();
  membershipImage->SetRegions(region);
  membershipImage->Allocate();
  membershipImage->FillBuffer(0);

  {
  itk::ImageRegionIterator<IntImageType> membershipImageIterator(membershipImage, membershipImage->GetLargestPossibleRegion());

  while(!membershipImageIterator.IsAtEnd())
    {
    IntImageType::PixelType pixel;
    pixel = rand() / 1000;
    membershipImageIterator.Set(pixel);
    ++membershipImageIterator;
    }
  }

  // Write the image
  itk::ImageFileWriter<FloatVectorImageType>::Pointer imageWriter =
    itk::ImageFileWriter<FloatVectorImageType>::New();
  imageWriter->SetFileName("image.mha");
  imageWriter->SetInput(image);
  imageWriter->Update();

//   // Generate a random mask
//   itk::RandomImageSource<Mask>::Pointer maskSource = itk::RandomImageSource<Mask>::New();
//   maskSource->SetNumberOfThreads(1); // to produce non-random results
//   maskSource->SetSize(size);
//   maskSource->SetMin(0);
//   maskSource->SetMax(255);
//   maskSource->Update();
//
//   // Threshold the mask
//   //typedef itk::ThresholdImageFilter <UnsignedCharImageType> ThresholdImageFilterType;
//   typedef itk::BinaryThresholdImageFilter <Mask, Mask> ThresholdImageFilterType;
//   ThresholdImageFilterType::Pointer thresholdFilter = ThresholdImageFilterType::New();
//   thresholdFilter->SetInput(maskSource->GetOutput());
//   thresholdFilter->SetLowerThreshold(0);
//   thresholdFilter->SetUpperThreshold(122);
//   thresholdFilter->SetOutsideValue(1);
//   thresholdFilter->SetInsideValue(0);
//   thresholdFilter->Update();
//   Mask::Pointer mask = thresholdFilter->GetOutput();

  std::cout << "Creating mask..." << std::endl;
  Mask::Pointer mask = Mask::New();
  mask->SetRegions(region);
  mask->Allocate();

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

  while(!maskIterator.IsAtEnd())
    {
    int randomNumber = rand()%10;
//.........这里部分代码省略.........

int main(int argc, char*argv[])
{
  if(argc != 6)
    {
    std::cerr << "Required arguments: image output R G B" << std::endl;
    return EXIT_FAILURE;
    }

  std::vector<int> values(3,0);
  std::stringstream ss;
  unsigned int counter = 0;
  for(int i = 3; i < argc; ++i)
  {
    ss << argv[i] << " ";
    counter++;
  }

  for(int i = 0; i < 3; ++i)
  {
    ss >> values[i];
  }

//   itk::RGBPixel<unsigned char> color;
//   color.SetRed(values[0]);
//   color.SetGreen(values[1]);
//   color.SetBlue(values[2]);
  Color color;
  color.r = values[0];
  color.g = values[1];
  color.b = values[2];

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

  std::cout << "Reading image: " << imageFilename << std::endl;
  std::cout << "outputMaskFilename: " << outputMaskFilename << std::endl;

  std::cout << "Color: " << static_cast<int>(values[0]) << " " << static_cast<int>(values[1]) << " " << static_cast<int>(values[2]) << std::endl;

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

  typedef itk::Image<itk::CovariantVector<unsigned char, 3>, 2> ImageType;
  ImageType::PixelType pixelColor;
  pixelColor[0] = color.r;
  pixelColor[1] = color.g;
  pixelColor[2] = color.b;


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

  Mask::Pointer mask = Mask::New();
  mask->SetRegions(imageReader->GetOutput()->GetLargestPossibleRegion());
  mask->Allocate();
  mask->CreateFromImage(imageReader->GetOutput(), pixelColor);

  OutputHelpers::WriteImage(mask.GetPointer(), outputMaskFilename);

  return EXIT_SUCCESS;
}

void LidarSegmentationWidget::GenerateNeighborSinks()
{
  Mask::Pointer sourcesImage = Mask::New();
  sourcesImage->SetRegions(this->ImageRegion);
  ITKHelpers::IndicesToBinaryImage(this->Sources, sourcesImage);
  ITKHelpers::WriteImage(sourcesImage.GetPointer(), "sourcesImage.png");
  
  // Dilate the mask
  std::cout << "Dilating mask..." << std::endl;
  typedef itk::BinaryBallStructuringElement<Mask::PixelType, 2> StructuringElementType;
  StructuringElementType structuringElement;
  structuringElement.SetRadius(1);
  structuringElement.CreateStructuringElement();

  typedef itk::BinaryDilateImageFilter<Mask, Mask, StructuringElementType> BinaryDilateImageFilterType;

  BinaryDilateImageFilterType::Pointer dilateFilter = BinaryDilateImageFilterType::New();
  dilateFilter->SetInput(sourcesImage);
  dilateFilter->SetKernel(structuringElement);
  dilateFilter->Update();

  // Binary XOR the images to get the difference image
  //std::cout << "XORing masks..." << std::endl;
  typedef itk::XorImageFilter<Mask> XorImageFilterType;

  XorImageFilterType::Pointer xorFilter = XorImageFilterType::New();
  xorFilter->SetInput1(dilateFilter->GetOutput());
  xorFilter->SetInput2(sourcesImage);
  xorFilter->Update();

  ITKHelpers::WriteImage(xorFilter->GetOutput(), "boundaryOfSegmentation.png");
  
  // Iterate over the border pixels. If the closest pixel in the original segmentation has
  // a depth greater than a threshold, mark it as a new sink. Else, do not.
  std::cout << "Determining which boundary pixels should be declared background..." << std::endl;
  //std::cout << "There should be " << Helpers::CountNonZeroPixels(xorFilter->GetOutput())
  //          << " considered." << std::endl;
  typedef std::vector<itk::Index<2> > VectorOfPixelsType;
  VectorOfPixelsType newSinks;

  typedef itk::VectorIndexSelectionCastImageFilter<ImageType, FloatScalarImageType> IndexSelectionType;
  IndexSelectionType::Pointer indexSelectionFilter = IndexSelectionType::New();
  indexSelectionFilter->SetIndex(3);
  indexSelectionFilter->SetInput(this->Image);
  indexSelectionFilter->Update();
  
  FloatScalarImageType::Pointer depthImage = indexSelectionFilter->GetOutput();

  //float sameObjectThreshold = 0.1f;

  VectorOfPixelsType consideredPixels;

  itk::ImageRegionIterator<Mask> imageIterator(xorFilter->GetOutput(),
                                               xorFilter->GetOutput()->GetLargestPossibleRegion());
  while(!imageIterator.IsAtEnd())
    {
    if(imageIterator.Get()) // If the current pixel is in question
      {
      consideredPixels.push_back(imageIterator.GetIndex());
      }
    ++imageIterator;
    }

  std::cout << "There are " << consideredPixels.size() << " potential new sink pixels." << std::endl;
  
  for(VectorOfPixelsType::const_iterator iter = consideredPixels.begin(); iter != consideredPixels.end(); ++iter)
    {
    //std::cout << "Considering pixel " << consideredCounter << " (index "
    //          << imageIterator.GetIndex() << ")" << std::endl;
    ImageType::PixelType currentPixel = this->Image->GetPixel(*iter);

    unsigned int radius = this->txtBackgroundCheckRadius->text().toUInt();
    ImageType::RegionType desiredRegion = ITKHelpers::GetRegionInRadiusAroundPixel(*iter, radius);
    //std::cout << "desiredRegion: " << desiredRegion << std::endl;
    
    itk::ImageRegionIterator<Mask> sourcesImageIterator(sourcesImage, desiredRegion);
    
    std::vector<float> nonForegroundDepths;
    std::vector<float> foregroundDepths;
    while(!sourcesImageIterator.IsAtEnd())
      {
      if(sourcesImageIterator.Get())
        {
        foregroundDepths.push_back(depthImage->GetPixel(sourcesImageIterator.GetIndex()));
        }
      else
        {
        nonForegroundDepths.push_back(depthImage->GetPixel(sourcesImageIterator.GetIndex()));
        }
      ++sourcesImageIterator;
      }

    if(nonForegroundDepths.size() < 1)
    {
    }
    
    float nonForegroundMedian = Helpers::VectorMedian(nonForegroundDepths);
    float foregroundMedian = Helpers::VectorMedian(foregroundDepths);

    float difference = fabs(foregroundMedian - nonForegroundMedian);
//.........这里部分代码省略.........