int main (int argc, char *argv[])
{
if(argc != 4)
{
std::cout << "Required arguments: InputFilename(ptx) NewRGB(mhd) OutputFilename(ptx)" << std::endl;
return EXIT_FAILURE;
}
std::string inputFilename = argv[1];
std::string newDepthImageFilename = argv[2];
std::string outputFilename = argv[3];
PTXImage ptxImage = PTXReader::Read(inputFilename);
typedef itk::ImageFileReader<PTXImage::RGBVectorImageType> ImageReaderType;
ImageReaderType::Pointer reader = ImageReaderType::New();
reader->SetFileName(newDepthImageFilename);
reader->Update();
if(reader->GetOutput()->GetLargestPossibleRegion().GetSize() != ptxImage.GetSize())
{
std::cerr << "RGB image must be the same size as PTX image!" << std::endl;
exit(-1);
}
ptxImage.ReplaceRGB(reader->GetOutput());
ptxImage.WritePTX(outputFilename);
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();
}
void QmitkDeformableRegistrationView::ApplyDeformationField()
{
ImageReaderType::Pointer reader = ImageReaderType::New();
reader->SetFileName( m_Controls.m_QmitkBSplineRegistrationViewControls->m_Controls.m_DeformationField->text().toStdString() );
reader->Update();
DeformationFieldType::Pointer deformationField = reader->GetOutput();
mitk::Image * mimage = dynamic_cast<mitk::Image*> (m_MovingNode->GetData());
mitk::Image * fimage = dynamic_cast<mitk::Image*> (m_FixedNode->GetData());
typedef itk::Image<float, 3> FloatImageType;
FloatImageType::Pointer itkMovingImage = FloatImageType::New();
FloatImageType::Pointer itkFixedImage = FloatImageType::New();
mitk::CastToItkImage(mimage, itkMovingImage);
mitk::CastToItkImage(fimage, itkFixedImage);
typedef itk::WarpImageFilter<
FloatImageType,
FloatImageType,
DeformationFieldType > WarperType;
typedef itk::LinearInterpolateImageFunction<
FloatImageType,
double > InterpolatorType;
WarperType::Pointer warper = WarperType::New();
InterpolatorType::Pointer interpolator = InterpolatorType::New();
warper->SetInput( itkMovingImage );
warper->SetInterpolator( interpolator );
warper->SetOutputSpacing( itkFixedImage->GetSpacing() );
warper->SetOutputOrigin( itkFixedImage->GetOrigin() );
warper->SetOutputDirection (itkFixedImage->GetDirection() );
warper->SetDisplacementField( deformationField );
warper->Update();
FloatImageType::Pointer outputImage = warper->GetOutput();
mitk::Image::Pointer result = mitk::Image::New();
mitk::CastToMitkImage(outputImage, result);
// Create new DataNode
mitk::DataNode::Pointer newNode = mitk::DataNode::New();
newNode->SetData( result );
newNode->SetProperty( "name", mitk::StringProperty::New("warped image") );
// add the new datatree node to the datatree
this->GetDefaultDataStorage()->Add(newNode);
mitk::RenderingManager::GetInstance()->RequestUpdateAll();
//Image::Pointer outputImage = this->GetOutput();
//mitk::CastToMitkImage( warper->GetOutput(), outputImage );
}
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 SuperPixelSegmentationGUI::OpenImage(const std::string& imageFileName)
{
// Load and display image
typedef itk::ImageFileReader<ImageType> ImageReaderType;
ImageReaderType::Pointer imageReader = ImageReaderType::New();
imageReader->SetFileName(imageFileName);
imageReader->Update();
Helpers::DeepCopy<ImageType>(imageReader->GetOutput(), this->Image);
QImage qimageImage = HelpersQt::GetQImageRGBA<ImageType>(this->Image);
this->ImagePixmapItem = this->Scene->addPixmap(QPixmap::fromImage(qimageImage));
this->graphicsView->fitInView(this->ImagePixmapItem);
Refresh();
}
int main(int argc, char *argv[])
{
// Verify arguments
if(argc != 5)
{
std::cerr << "Required arguments: image imageMask patchRadius output" << 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 outputFilename = 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();
typedef itk::ImageFileReader< Mask > MaskReaderType;
MaskReaderType::Pointer maskReader = MaskReaderType::New();
maskReader->SetFileName(maskFilename.c_str());
maskReader->Update();
CriminisiInpainting Inpainting;
Inpainting.SetPatchRadius(patchRadius);
Inpainting.SetDebug(false);
Inpainting.SetImage(imageReader->GetOutput());
Inpainting.SetMask(maskReader->GetOutput());
Inpainting.Inpaint();
Helpers::WriteImage<FloatVectorImageType>(Inpainting.GetResult(), outputFilename);
return EXIT_SUCCESS;
}
void QmitkBSplineRegistrationView::PrintDeformationField()
{
ImageReaderType::Pointer reader = ImageReaderType::New();
reader->SetFileName( m_Controls.m_DeformationField->text().toStdString() );
reader->Update();
DeformationFieldType::Pointer deformationField = reader->GetOutput();
typedef itk::ImageRegionIterator<DeformationFieldType> IteratorType;
IteratorType deformIter(deformationField, deformationField->GetRequestedRegion());
for(deformIter.GoToBegin(); !deformIter.IsAtEnd(); ++deformIter)
{
std::cout << deformIter.Get() << std::endl;
}
}
BinaryImageType::Pointer readBinaryImage(const std::string& filename) {
ImageReaderType::Pointer reader = ImageReaderType::New();
reader->SetFileName(filename.c_str());
reader->Update();
// we make sure that the image really has value 0 and 1
typedef itk::BinaryThresholdImageFilter<BinaryImageType, BinaryImageType> ThresholdFilterType;
ThresholdFilterType::Pointer thresholdFilter = ThresholdFilterType::New();
thresholdFilter->SetInsideValue(1);
thresholdFilter->SetOutsideValue(0);
thresholdFilter->SetLowerThreshold(1);
thresholdFilter->SetUpperThreshold(255);
thresholdFilter->SetInput(reader->GetOutput());
thresholdFilter->Update();
BinaryImageType::Pointer img = thresholdFilter->GetOutput();
img->DisconnectPipeline();
return img;
}
void Mask::ReadFromImage(const std::string& filename,
const HolePixelValueWrapper<TPixel>& holeValue,
const ValidPixelValueWrapper<TPixel>& validValue)
{
std::cout << "Reading mask from image: " << filename << std::endl;
// Ensure the input image can be interpreted as a mask.
unsigned int numberOfComponents = GetNumberOfComponentsPerPixelInFile( filename );
if(!(numberOfComponents == 1 || numberOfComponents == 3))
{
std::stringstream ss;
ss << "Number of components for a mask must be 1 or 3! (" << filename
<< " is " << numberOfComponents << ")";
throw std::runtime_error(ss.str());
}
// Read the image
typedef int ReadPixelType;
typedef itk::Image<ReadPixelType, 2> ImageType;
typedef itk::ImageFileReader<ImageType> ImageReaderType;
ImageReaderType::Pointer imageReader = ImageReaderType::New();
imageReader->SetFileName(filename);
imageReader->Update();
this->SetRegions(imageReader->GetOutput()->GetLargestPossibleRegion());
this->Allocate();
CreateHolesFromValue(imageReader->GetOutput(),
static_cast<ReadPixelType>(holeValue.Value));
CreateValidPixelsFromValue(imageReader->GetOutput(),
static_cast<ReadPixelType>(validValue.Value));
}
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 ForegroundBackgroundSegmentMask::
ReadFromImage(const std::string& filename,
const ForegroundPixelValueWrapper<TPixel>& foregroundValue,
const BackgroundPixelValueWrapper<TPixel>& backgroundValue)
{
std::cout << "Reading mask from image: " << filename << std::endl;
// Ensure the input image can be interpreted as a mask.
unsigned int numberOfComponents =
ITKHelpers::GetNumberOfComponentsPerPixelInFile(filename);
if(!(numberOfComponents == 1 || numberOfComponents == 3))
{
std::stringstream ss;
ss << "Number of components for a mask must be 1 or 3! (" << filename
<< " is " << numberOfComponents << ")";
throw std::runtime_error(ss.str());
}
// Read the image
typedef int ReadPixelType;
typedef itk::Image<ReadPixelType, 2> ImageType;
typedef itk::ImageFileReader<ImageType> ImageReaderType;
ImageReaderType::Pointer imageReader = ImageReaderType::New();
imageReader->SetFileName(filename);
imageReader->Update();
this->SetRegions(imageReader->GetOutput()->GetLargestPossibleRegion());
this->Allocate();
itk::ImageRegionConstIteratorWithIndex<ImageType>
imageIterator(imageReader->GetOutput(),
imageReader->GetOutput()->GetLargestPossibleRegion());
while(!imageIterator.IsAtEnd())
{
if(imageIterator.Get() == foregroundValue.Value)
{
this->SetPixel(imageIterator.GetIndex(),
ForegroundBackgroundSegmentMaskPixelTypeEnum::FOREGROUND);
}
else if(imageIterator.Get() == backgroundValue.Value)
{
this->SetPixel(imageIterator.GetIndex(),
ForegroundBackgroundSegmentMaskPixelTypeEnum::BACKGROUND);
}
else
{
std::cerr << "Warning: Pixels with value " << imageIterator.Get()
<< " found and is being ignored." << std::endl;
// std::cerr << "Warning: Pixels with values other than the specified foreground "
// "and background values exist in the image and are being ignored." << std::endl;
}
++imageIterator;
}
}
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;
}
void StrokeMask::
ReadFromImage(const std::string& filename,
const TPixel& strokeValue)
{
std::cout << "Reading stroke mask from image: " << filename << std::endl;
// Ensure the input image can be interpreted as a mask.
unsigned int numberOfComponents =
ITKHelpers::GetNumberOfComponentsPerPixelInFile(filename);
if(!(numberOfComponents == 1 || numberOfComponents == 3))
{
std::stringstream ss;
ss << "Number of components for a mask must be 1 or 3! (" << filename
<< " is " << numberOfComponents << ")";
throw std::runtime_error(ss.str());
}
// Read the image
typedef int ReadPixelType;
typedef itk::Image<ReadPixelType, 2> ImageType;
typedef itk::ImageFileReader<ImageType> ImageReaderType;
ImageReaderType::Pointer imageReader = ImageReaderType::New();
imageReader->SetFileName(filename);
imageReader->Update();
this->SetRegions(imageReader->GetOutput()->GetLargestPossibleRegion());
this->Allocate();
itk::ImageRegionConstIteratorWithIndex<ImageType>
imageIterator(imageReader->GetOutput(),
imageReader->GetOutput()->GetLargestPossibleRegion());
while(!imageIterator.IsAtEnd())
{
if(imageIterator.Get() == strokeValue)
{
this->SetPixel(imageIterator.GetIndex(),
StrokeMaskPixelTypeEnum::STROKE);
}
else
{
this->SetPixel(imageIterator.GetIndex(),
StrokeMaskPixelTypeEnum::NOTSTROKE);
}
++imageIterator;
}
}
int main(int argc, char *argv[])
{
if(argc != 3)
{
std::cerr << "Required arguments: image mask" << std::endl;
return EXIT_FAILURE;
}
std::string imageFilename = argv[1];
std::string maskFilename = argv[2];
std::cout << "Reading image: " << imageFilename << std::endl;
std::cout << "Reading mask: " << maskFilename << std::endl;
typedef itk::ImageFileReader<FloatVectorImageType> ImageReaderType;
ImageReaderType::Pointer imageReader = ImageReaderType::New();
imageReader->SetFileName(imageFilename.c_str());
imageReader->Update();
typedef itk::ImageFileReader<Mask> MaskReaderType;
MaskReaderType::Pointer maskReader = MaskReaderType::New();
maskReader->SetFileName(maskFilename.c_str());
maskReader->Update();
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.get(),_1));
//patchCompare->SetImage(imageReader->GetOutput());
//patchCompare->SetMask(maskReader->GetOutput());
PatchBasedInpainting inpainting;
inpainting.SetMask(maskReader->GetOutput());
inpainting.SetImage(imageReader->GetOutput());
//inpainting.PatchSortFunction = &SortByDepthDifference;
//inpainting.SetPatchCompare(patchCompare);
inpainting.Initialize();
inpainting.Iterate();
CandidatePairs candidatePairs = inpainting.GetPotentialCandidatePairs()[0];
//patchCompare->SetPairs(&candidatePairs);
//patchCompare->ComputeAllSourceDifferences();
WriteImageOfScores(candidatePairs, imageReader->GetOutput()->GetLargestPossibleRegion(), "ScoreImage_TargetPatch.mha");
return EXIT_SUCCESS;
}
// 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;
}
// Run with: Data/trashcan.mha Data/trashcan_mask.mha 15 filled.mha
int main(int argc, char *argv[])
{
// Verify arguments
if(argc != 5)
{
std::cerr << "Required arguments: image.mha imageMask.mha patchHalfWidth output.mha" << std::endl;
std::cerr << "Input arguments: ";
for(int i = 1; i < argc; ++i)
{
std::cerr << argv[i] << " ";
}
return EXIT_FAILURE;
}
// Setup the GUI system
QApplication app( argc, argv );
// 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 FloatVectorImageType ImageType;
typedef itk::ImageFileReader<ImageType> ImageReaderType;
ImageReaderType::Pointer imageReader = ImageReaderType::New();
imageReader->SetFileName(imageFilename);
imageReader->Update();
ImageType* image = imageReader->GetOutput();
itk::ImageRegion<2> fullRegion = imageReader->GetOutput()->GetLargestPossibleRegion();
Mask::Pointer mask = Mask::New();
mask->Read(maskFilename);
std::cout << "hole pixels: " << mask->CountHolePixels() << std::endl;
std::cout << "valid pixels: " << mask->CountValidPixels() << std::endl;
std::cout << "image has " << image->GetNumberOfComponentsPerPixel() << " components." << std::endl;
typedef ImagePatchPixelDescriptor<ImageType> ImagePatchPixelDescriptorType;
// Create the graph
typedef boost::grid_graph<2> VertexListGraphType;
boost::array<std::size_t, 2> graphSideLengths = { { fullRegion.GetSize()[0],
fullRegion.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 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);
//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 MaskImagePatchInpainter InpainterType;
MaskImagePatchInpainter patchInpainter(patchHalfWidth, mask);
// Create the priority function
// typedef PriorityRandom PriorityType;
// PriorityType priorityFunction;
typedef PriorityOnionPeel PriorityType;
PriorityType priorityFunction(mask, patchHalfWidth);
// 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 (we want the highest priority nodes to be first in the queue)
typedef std::greater<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 visitor
typedef ImagePatchDescriptorVisitor<VertexListGraphType, ImageType, ImagePatchDescriptorMapType>
ImagePatchDescriptorVisitorType;
ImagePatchDescriptorVisitorType imagePatchDescriptorVisitor(image, mask, imagePatchDescriptorMap, patchHalfWidth);
//ImagePatchDescriptorVisitorType imagePatchDescriptorVisitor(cielabImage,
// mask, imagePatchDescriptorMap, patchHalfWidth);
typedef ImagePatchDifference<ImagePatchPixelDescriptorType, SumAbsolutePixelDifference<ImageType::PixelType> >
ImagePatchDifferenceType;
ImagePatchDifferenceType imagePatchDifferenceFunction;
// typedef WeightedSumAbsolutePixelDifference<ImageType::PixelType> PixelDifferenceFunctorType;
// PixelDifferenceFunctorType pixelDifferenceFunctor;
// std::vector<float> weights;
// weights.push_back(1.0f);
// weights.push_back(1.0f);
// weights.push_back(1.0f);
// float gradientWeight = 500.0f;
// weights.push_back(gradientWeight);
// weights.push_back(gradientWeight);
// pixelDifferenceFunctor.Weights = weights;
// std::cout << "Weights: ";
// OutputHelpers::OutputVector(pixelDifferenceFunctor.Weights);
// typedef ImagePatchDifference<ImagePatchPixelDescriptorType, PixelDifferenceFunctorType >
// ImagePatchDifferenceType;
//
// ImagePatchDifferenceType imagePatchDifferenceFunction(pixelDifferenceFunctor);
typedef CompositeDescriptorVisitor<VertexListGraphType> CompositeDescriptorVisitorType;
CompositeDescriptorVisitorType compositeDescriptorVisitor;
compositeDescriptorVisitor.AddVisitor(&imagePatchDescriptorVisitor);
typedef CompositeAcceptanceVisitor<VertexListGraphType> CompositeAcceptanceVisitorType;
CompositeAcceptanceVisitorType compositeAcceptanceVisitor;
typedef InpaintingVisitor<VertexListGraphType, ImageType, BoundaryNodeQueueType,
CompositeDescriptorVisitorType, CompositeAcceptanceVisitorType, PriorityType,
PriorityMapType, BoundaryStatusMapType>
InpaintingVisitorType;
InpaintingVisitorType inpaintingVisitor(image, mask, boundaryNodeQueue,
compositeDescriptorVisitor, compositeAcceptanceVisitor, priorityMap,
&priorityFunction, patchHalfWidth,
boundaryStatusMap, outputFilename);
typedef DisplayVisitor<VertexListGraphType, ImageType> DisplayVisitorType;
DisplayVisitorType displayVisitor(image, mask, patchHalfWidth);
typedef DebugVisitor<VertexListGraphType, ImageType, BoundaryStatusMapType, BoundaryNodeQueueType>
DebugVisitorType;
DebugVisitorType debugVisitor(image, mask, patchHalfWidth, boundaryStatusMap, boundaryNodeQueue);
LoggerVisitor<VertexListGraphType> loggerVisitor("log.txt");
PaintPatchVisitor<VertexListGraphType, ImageType> inpaintRGBVisitor(image,
mask.GetPointer(), patchHalfWidth);
typedef CompositeInpaintingVisitor<VertexListGraphType> CompositeInpaintingVisitorType;
CompositeInpaintingVisitorType compositeInpaintingVisitor;
compositeInpaintingVisitor.AddVisitor(&inpaintingVisitor);
//compositeInpaintingVisitor.AddVisitor(&inpaintRGBVisitor);
compositeInpaintingVisitor.AddVisitor(&displayVisitor);
compositeInpaintingVisitor.AddVisitor(&debugVisitor);
//compositeInpaintingVisitor.AddVisitor(&loggerVisitor);
InitializePriority(mask, boundaryNodeQueue, priorityMap, &priorityFunction, boundaryStatusMap);
// Initialize the boundary node queue from the user provided mask image.
InitializeFromMaskImage<CompositeInpaintingVisitorType, VertexDescriptorType>(mask, &compositeInpaintingVisitor);
// Create the nearest neighbor finders
typedef LinearSearchKNNProperty<ImagePatchDescriptorMapType,
ImagePatchDifferenceType > KNNSearchType;
KNNSearchType knnSearch(imagePatchDescriptorMap, 50000, 1, imagePatchDifferenceFunction);
// For debugging we use LinearSearchBestProperty instead of DefaultSearchBest
// because it can output the difference value.
typedef LinearSearchBestProperty<ImagePatchDescriptorMapType,
ImagePatchDifferenceType > BestSearchType;
BestSearchType bestSearch(imagePatchDescriptorMap, imagePatchDifferenceFunction);
BasicViewerWidget<ImageType> basicViewerWidget(image, mask);
basicViewerWidget.show();
// These connections are Qt::BlockingQueuedConnection because the algorithm quickly
// goes on to fill the hole, and since we are sharing the image memory, we want to make sure these things are
// refreshed at the right time, not after the hole has already been filled
// (this actually happens, it is not just a theoretical thing).
QObject::connect(&displayVisitor, SIGNAL(signal_RefreshImage()), &basicViewerWidget, SLOT(slot_UpdateImage()),
Qt::BlockingQueuedConnection);
QObject::connect(&displayVisitor, SIGNAL(signal_RefreshSource(const itk::ImageRegion<2>&,
const itk::ImageRegion<2>&)),
&basicViewerWidget, SLOT(slot_UpdateSource(const itk::ImageRegion<2>&,
const itk::ImageRegion<2>&)),
Qt::BlockingQueuedConnection);
QObject::connect(&displayVisitor, SIGNAL(signal_RefreshTarget(const itk::ImageRegion<2>&)),
&basicViewerWidget, SLOT(slot_UpdateTarget(const itk::ImageRegion<2>&)),
Qt::BlockingQueuedConnection);
QObject::connect(&displayVisitor, SIGNAL(signal_RefreshResult(const itk::ImageRegion<2>&,
const itk::ImageRegion<2>&)),
&basicViewerWidget, SLOT(slot_UpdateResult(const itk::ImageRegion<2>&,
const itk::ImageRegion<2>&)),
Qt::BlockingQueuedConnection);
// TopPatchesDialog<ImageType> topPatchesDialog(image, mask, patchHalfWidth, &basicViewerWidget);
// typedef VisualSelectionBest<ImageType> ManualSearchType;
// ManualSearchType manualSearchBest(image, mask, patchHalfWidth, &topPatchesDialog);
typedef DefaultSearchBest ManualSearchType;
DefaultSearchBest manualSearchBest;
// By specifying the radius as the image size/8, we are searching up to 1/4 of the image each time
typedef NeighborhoodSearch<VertexDescriptorType> NeighborhoodSearchType;
NeighborhoodSearchType neighborhoodSearch(fullRegion, fullRegion.GetSize()[0]/8);
// Run the remaining inpainting
QtConcurrent::run(boost::bind(InpaintingAlgorithmWithLocalSearch<
VertexListGraphType, CompositeInpaintingVisitorType, BoundaryStatusMapType,
BoundaryNodeQueueType, NeighborhoodSearchType, KNNSearchType, BestSearchType,
ManualSearchType, InpainterType>,
graph, compositeInpaintingVisitor, &boundaryStatusMap, &boundaryNodeQueue,
neighborhoodSearch, knnSearch, bestSearch, boost::ref(manualSearchBest),
patchInpainter));
return app.exec();
}
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;
}
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);
// Poisson fill the input image in HSV space
typedef itk::Image<itk::CovariantVector<float, 3>, 2> HSVImageType;
HSVImageType::Pointer hsvImage = HSVImageType::New();
ITKVTKHelpers::ConvertRGBtoHSV(image, hsvImage.GetPointer());
ITKHelpers::WriteImage(image, "HSV.mha");
typedef PoissonEditing<typename TypeTraits<HSVImageType::PixelType>::ComponentType> PoissonEditingType;
typename PoissonEditingType::GuidanceFieldType::Pointer zeroGuidanceField =
PoissonEditingType::GuidanceFieldType::New();
zeroGuidanceField->SetRegions(hsvImage->GetLargestPossibleRegion());
zeroGuidanceField->Allocate();
typename PoissonEditingType::GuidanceFieldType::PixelType zeroPixel;
zeroPixel.Fill(0);
ITKHelpers::SetImageToConstant(zeroGuidanceField.GetPointer(), zeroPixel);
PoissonEditingType::FillImage(hsvImage.GetPointer(), targetMask,
zeroGuidanceField.GetPointer(), hsvImage.GetPointer());
ITKHelpers::WriteImage(image, "PoissonFilled_HSV.mha");
ITKVTKHelpers::ConvertHSVtoRGB(hsvImage.GetPointer(), image);
ITKHelpers::WriteRGBImage(image, "PoissonFilled_HSV.png");
// PatchMatch requires that the target region be specified by valid pixels
targetMask->InvertData();
// Here, the source mask and target mask 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.
BDSInpaintingRings<ImageType> bdsInpainting;
bdsInpainting.SetPatchRadius(patchRadius);
bdsInpainting.SetImage(image);
bdsInpainting.SetSourceMask(sourceMask);
bdsInpainting.SetTargetMask(targetMask);
bdsInpainting.SetIterations(1);
//bdsInpainting.SetIterations(4);
Compositor<ImageType, PixelCompositorAverage> compositor;
bdsInpainting.Inpaint();
ITKHelpers::WriteRGBImage(bdsInpainting.GetOutput(), outputFilename);
return EXIT_SUCCESS;
}
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;
}
// 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;
}
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[])
{
// Verify arguments
if(argc < 5)
{
std::cout << "Usage: ImageToFill mask guidanceField outputImage" << std::endl;
return EXIT_FAILURE;
}
// Parse arguments
std::string targetImageFilename = argv[1];
std::string maskFilename = argv[2];
std::string guidanceFieldFilename = argv[3];
std::string outputFilename = argv[4];
// Output arguments
std::cout << "Target image: " << targetImageFilename << std::endl
<< "Mask image: " << maskFilename << std::endl
<< "Guidance field: " << guidanceFieldFilename << std::endl
<< "Output image: " << outputFilename << std::endl;
//typedef itk::VectorImage<float, 2> FloatVectorImageType;
typedef itk::Image<float, 2> ImageType;
// Read images
typedef itk::ImageFileReader<ImageType> ImageReaderType;
ImageReaderType::Pointer targetImageReader = ImageReaderType::New();
targetImageReader->SetFileName(targetImageFilename);
targetImageReader->Update();
std::cout << "Read target image." << std::endl;
// Read mask
Mask::Pointer mask = Mask::New();
mask->Read(maskFilename);
std::cout << "Read mask." << std::endl;
typedef itk::CovariantVector<float, 2> Vector2Type;
typedef itk::Image<Vector2Type, 2> Vector2ImageType;
typedef itk::ImageFileReader<Vector2ImageType> GuidanceFieldReaderType;
GuidanceFieldReaderType::Pointer guidanceFieldReader = GuidanceFieldReaderType::New();
guidanceFieldReader->SetFileName(guidanceFieldFilename);
guidanceFieldReader->Update();
std::cout << "Read guidance field." << std::endl;
typedef PoissonEditing<float> PoissonEditingFilterType;
PoissonEditingFilterType poissonFilter;
poissonFilter.SetTargetImage(targetImageReader->GetOutput());
poissonFilter.SetGuidanceField(guidanceFieldReader->GetOutput());
poissonFilter.SetMask(mask);
poissonFilter.FillMaskedRegion();
// Write output
ITKHelpers::WriteImage(poissonFilter.GetOutput(), outputFilename);
// Helpers::WriteVectorImageAsPNG(output.GetPointer(), outputFilename);
return EXIT_SUCCESS;
}
int
main(int argc, char* argv[])
{
boost::filesystem::path inputFile;
boost::filesystem::path outputFile;
Algorithm algorithm;
std::string algorithmName;
po::options_description desc("Allowed options");
desc.add_options()
("help", "produce help message")
("input,i", po::value<boost::filesystem::path>(&inputFile), "input file")
("algorithm,a", po::value<std::string>(&algorithmName)->default_value("itk-implementation"), "itk-implementation")
("output,o", po::value<boost::filesystem::path>(&outputFile), "output mask file")
;
po::variables_map vm;
po::store(po::parse_command_line(argc, argv, desc), vm);
po::notify(vm);
algorithm = getAlgorithmFromString(algorithmName);
if (vm.count("help")) {
std::cout << desc << "\n";
return 1;
}
if (vm.count("input") == 0) {
std::cout << "Missing input filename\n" << desc << "\n";
return 1;
}
if (vm.count("output") == 0) {
std::cout << "Missing output filename\n" << desc << "\n";
return 1;
}
typedef itk::ImageFileReader<ImageType> ImageReaderType;
BOOST_LOG_TRIVIAL(info) << "Loading inputs ...";
ImageReaderType::Pointer imageReader = ImageReaderType::New();
imageReader->SetFileName(inputFile.string());
imageReader->Update();
ImageType::Pointer image = imageReader->GetOutput();
LabeledImageType::Pointer outputImage;
switch (algorithm) {
case Algorithm::ItkImplementation: {
BOOST_LOG_TRIVIAL(info) << "Running ITK version of watershed transformation ...";
WatershedFilterType::Pointer filter = WatershedFilterType::New();
filter->SetInput(image);
filter->MarkWatershedLineOff();
boost::timer::cpu_timer computationTimer;
computationTimer.start();
filter->Update();
BOOST_LOG_TRIVIAL(info) << "Computation time: " << computationTimer.format(9, "%w");
outputImage = filter->GetOutput();
}
break;
default:
BOOST_LOG_TRIVIAL(info) << "Allocating output ...";
outputImage = LabeledImageType::New();
outputImage->SetRegions(image->GetLargestPossibleRegion());
outputImage->Allocate();
outputImage->SetSpacing(image->GetSpacing());
BOOST_LOG_TRIVIAL(info) << "Running CUDA version of watershed transformation (topographical distance)...";
boost::timer::cpu_timer computationTimer;
computationTimer.start();
watershedTransformation2(
cugip::const_view(*(image.GetPointer())),
cugip::view(*(outputImage.GetPointer())),
Options()
);
BOOST_LOG_TRIVIAL(info) << "Computation time: " << computationTimer.format(9, "%w");
//BOOST_LOG_TRIVIAL(error) << "Unknown algorithm";
}
BOOST_LOG_TRIVIAL(info) << "Saving output `" << outputFile << "` ...";
WriterType::Pointer writer = WriterType::New();
writer->SetFileName(outputFile.string());
writer->SetInput(outputImage);
try {
writer->Update();
} catch (itk::ExceptionObject & error) {
std::cerr << "Error: " << error << std::endl;
return EXIT_FAILURE;
}
return 0;
}
int main(int argc, char *argv[])
{
if(argc != 3)
{
std::cerr << "Required arguments: image mask" << std::endl;
return EXIT_FAILURE;
}
std::string imageFilename = argv[1];
std::string maskFilename = argv[2];
std::cout << "Reading image: " << imageFilename << std::endl;
std::cout << "Reading mask: " << maskFilename << std::endl;
typedef itk::ImageFileReader<FloatVectorImageType> ImageReaderType;
ImageReaderType::Pointer imageReader = ImageReaderType::New();
imageReader->SetFileName(imageFilename.c_str());
imageReader->Update();
std::cout << "Read image " << imageReader->GetOutput()->GetLargestPossibleRegion() << std::endl;
typedef itk::ImageFileReader<Mask> MaskReaderType;
MaskReaderType::Pointer maskReader = MaskReaderType::New();
maskReader->SetFileName(maskFilename.c_str());
maskReader->Update();
std::cout << "Read mask " << maskReader->GetOutput()->GetLargestPossibleRegion() << std::endl;
// Prepare image
RGBImageType::Pointer rgbImage = RGBImageType::New();
// TODO: update this to the new API
//Helpers::VectorImageToRGBImage(imageReader->GetOutput(), rgbImage);
OutputHelpers::WriteImage(rgbImage.GetPointer(), "Test/TestIsophotes.rgb.mha");
typedef itk::RGBToLuminanceImageFilter< RGBImageType, FloatScalarImageType > LuminanceFilterType;
LuminanceFilterType::Pointer luminanceFilter = LuminanceFilterType::New();
luminanceFilter->SetInput(rgbImage);
luminanceFilter->Update();
FloatScalarImageType::Pointer blurredLuminance = FloatScalarImageType::New();
// Blur with a Gaussian kernel
unsigned int kernelRadius = 5;
MaskOperations::MaskedBlur<FloatScalarImageType>(luminanceFilter->GetOutput(), maskReader->GetOutput(), kernelRadius,
blurredLuminance);
OutputHelpers::WriteImage<FloatScalarImageType>(blurredLuminance, "Test/TestIsophotes.blurred.mha");
//inpainting.ComputeMaskedIsophotes(blurredLuminance, maskReader->GetOutput());
//Helpers::WriteImage<FloatVector2ImageType>(inpainting.GetIsophoteImage(), );
//HelpersOutput::Write2DVectorImage(inpainting.GetIsophoteImage(), "Test/TestIsophotes.isophotes.mha");
itk::Size<2> size;
size.Fill(21);
// Target
itk::Index<2> targetIndex;
targetIndex[0] = 187;
targetIndex[1] = 118;
itk::ImageRegion<2> targetRegion(targetIndex, size);
// Source
itk::Index<2> sourceIndex;
sourceIndex[0] = 176;
sourceIndex[1] = 118;
itk::ImageRegion<2> sourceRegion(sourceIndex, size);
//PatchPair patchPair(Patch(sourceRegion), Patch(targetRegion));
//PatchPair patchPair;
// Patch sourcePatch(sourceRegion);
// Patch targetPatch(targetRegion);
// PatchPair patchPair(sourcePatch, targetPatch);
//inpainting.FindBoundary();
// std::vector<itk::Index<2> > borderPixels =
// ITKHelpers::GetNonZeroPixels(inpainting.GetBoundaryImage(), targetRegion);
itk::RGBPixel<unsigned char> black;
black.SetRed(0);
black.SetGreen(0);
black.SetBlue(0);
itk::RGBPixel<unsigned char> red;
red.SetRed(255);
red.SetGreen(0);
red.SetBlue(0);
itk::RGBPixel<unsigned char> darkRed;
darkRed.SetRed(100);
darkRed.SetGreen(0);
darkRed.SetBlue(0);
itk::RGBPixel<unsigned char> yellow;
yellow.SetRed(255);
yellow.SetGreen(255);
yellow.SetBlue(0);
itk::RGBPixel<unsigned char> green;
green.SetRed(0);
green.SetGreen(255);
green.SetBlue(0);
itk::RGBPixel<unsigned char> darkGreen;
darkGreen.SetRed(0);
darkGreen.SetGreen(100);
darkGreen.SetBlue(0);
itk::RGBPixel<unsigned char> blue;
blue.SetRed(0);
blue.SetGreen(0);
blue.SetBlue(255);
RGBImageType::Pointer output = RGBImageType::New();
output->SetRegions(imageReader->GetOutput()->GetLargestPossibleRegion());
output->Allocate();
output->FillBuffer(black);
ITKHelpers::BlankAndOutlineRegion(output.GetPointer(), targetRegion, black, red);
ITKHelpers::BlankAndOutlineRegion(output.GetPointer(), sourceRegion, black, green);
RGBImageType::Pointer target = RGBImageType::New();
target->SetRegions(imageReader->GetOutput()->GetLargestPossibleRegion());
target->Allocate();
ITKHelpers::BlankAndOutlineRegion(target.GetPointer(), targetRegion, black, red);
RGBImageType::Pointer source = RGBImageType::New();
source->SetRegions(imageReader->GetOutput()->GetLargestPossibleRegion());
source->Allocate();
ITKHelpers::BlankAndOutlineRegion(source.GetPointer(), sourceRegion, black, green);
// itk::Offset<2> offset = targetIndex - sourceIndex;
/*
for(unsigned int pixelId = 0; pixelId < borderPixels.size(); ++pixelId)
{
itk::Index<2> targetPatchSourceSideBoundaryPixel = borderPixels[pixelId];
itk::Index<2> sourcePatchTargetSideBoundaryPixel;
//bool valid = GetAdjacentBoundaryPixel(currentPixel, candidatePairs[sourcePatchId], adjacentBoundaryPixel);
bool valid = inpainting.GetAdjacentBoundaryPixel(targetPatchSourceSideBoundaryPixel, patchPair, sourcePatchTargetSideBoundaryPixel);
target->SetPixel(targetPatchSourceSideBoundaryPixel, darkRed);
source->SetPixel(sourcePatchTargetSideBoundaryPixel, darkGreen);
if(!valid)
{
continue;
}
// Bring the adjacent pixel back to the target region.
itk::Index<2> targetPatchTargetSideBoundaryPixel = sourcePatchTargetSideBoundaryPixel + offset;
output->SetPixel(targetPatchSourceSideBoundaryPixel, darkRed);
output->SetPixel(targetPatchTargetSideBoundaryPixel, blue);
output->SetPixel(sourcePatchTargetSideBoundaryPixel, darkGreen);
}
*/
// OutputHelpers::WriteImage(output.GetPointer(), "Test/FollowIsophotes.Output.mha");
// OutputHelpers::WriteImage(target.GetPointer(), "Test/FollowIsophotes.Target.mha");
// OutputHelpers::WriteImage(source.GetPointer(), "Test/FollowIsophotes.Source.mha");
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;
}
int main(int argc, char *argv[])
{
if(argc != 3)
{
std::cerr << "Required arguments: image mask" << std::endl;
return EXIT_FAILURE;
}
std::string imageFilename = argv[1];
std::string maskFilename = argv[2];
std::cout << "Reading image: " << imageFilename << std::endl;
std::cout << "Reading mask: " << maskFilename << std::endl;
typedef itk::ImageFileReader<FloatVectorImageType> ImageReaderType;
ImageReaderType::Pointer imageReader = ImageReaderType::New();
imageReader->SetFileName(imageFilename.c_str());
imageReader->Update();
std::cout << "Read image " << imageReader->GetOutput()->GetLargestPossibleRegion() << std::endl;
typedef itk::ImageFileReader<Mask> MaskReaderType;
MaskReaderType::Pointer maskReader = MaskReaderType::New();
maskReader->SetFileName(maskFilename.c_str());
maskReader->Update();
std::cout << "Read mask " << maskReader->GetOutput()->GetLargestPossibleRegion() << std::endl;
// Prepare image
RGBImageType::Pointer rgbImage = RGBImageType::New();
Helpers::VectorImageToRGBImage(imageReader->GetOutput(), rgbImage);
HelpersOutput::WriteImage<RGBImageType>(rgbImage, "Test/TestIsophotes.rgb.mha");
typedef itk::RGBToLuminanceImageFilter< RGBImageType, FloatScalarImageType > LuminanceFilterType;
LuminanceFilterType::Pointer luminanceFilter = LuminanceFilterType::New();
luminanceFilter->SetInput(rgbImage);
luminanceFilter->Update();
FloatScalarImageType::Pointer blurredLuminance = FloatScalarImageType::New();
// Blur with a Gaussian kernel
unsigned int kernelRadius = 5;
Helpers::MaskedBlur<FloatScalarImageType>(luminanceFilter->GetOutput(), maskReader->GetOutput(), kernelRadius, blurredLuminance);
HelpersOutput::WriteImage<FloatScalarImageType>(blurredLuminance, "Test/TestIsophotes.blurred.mha");
PatchBasedInpainting inpainting(NULL, maskReader->GetOutput());
//inpainting.SetMask(maskReader->GetOutput());
//inpainting.SetImage(imageReader->GetOutput());
//inpainting.FindBoundary();
for(unsigned int blurVariance = 0; blurVariance < 10; ++blurVariance)
{
//inpainting.ComputeBoundaryNormals(blurVariance);
std::stringstream ss;
ss << "Test/BoundaryNormals_" << blurVariance << ".mha";
//HelpersOutput::Write2DVectorImage(inpainting.GetBoundaryNormalsImage(), ss.str());
typedef itk::MaskImageFilter< FloatVector2ImageType, UnsignedCharScalarImageType, FloatVector2ImageType > MaskFilterType;
MaskFilterType::Pointer maskFilter = MaskFilterType::New();
//maskFilter->SetInput(inpainting.GetBoundaryNormalsImage());
//maskFilter->SetMaskImage(inpainting.GetBoundaryImage());
maskFilter->Update();
vtkSmartPointer<vtkPolyData> boundaryNormals = vtkSmartPointer<vtkPolyData>::New();
Helpers::ConvertNonZeroPixelsToVectors(maskFilter->GetOutput(), boundaryNormals);
std::stringstream ssPolyData;
ssPolyData << "Test/BoundaryNormals_" << blurVariance << ".vtp";
HelpersOutput::WritePolyData(boundaryNormals, ssPolyData.str());
}
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;
}
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;
}
int main(int argc, char *argv[])
{
if(argc != 3)
{
std::cerr << "Required arguments: image mask" << std::endl;
return EXIT_FAILURE;
}
std::string imageFilename = argv[1];
std::string maskFilename = argv[2];
std::cout << "Reading image: " << imageFilename << std::endl;
std::cout << "Reading mask: " << maskFilename << std::endl;
typedef itk::ImageFileReader<FloatVectorImageType> ImageReaderType;
ImageReaderType::Pointer imageReader = ImageReaderType::New();
imageReader->SetFileName(imageFilename.c_str());
imageReader->Update();
std::cout << "Read image " << imageReader->GetOutput()->GetLargestPossibleRegion() << std::endl;
typedef itk::ImageFileReader<Mask> MaskReaderType;
MaskReaderType::Pointer maskReader = MaskReaderType::New();
maskReader->SetFileName(maskFilename.c_str());
maskReader->Update();
std::cout << "Read mask " << maskReader->GetOutput()->GetLargestPossibleRegion() << std::endl;
// Prepare image
RGBImageType::Pointer rgbImage = RGBImageType::New();
// Helpers::VectorImageToRGBImage(imageReader->GetOutput(), rgbImage);
// TODO: Update this call to new API
//maskReader->GetOutput()->ApplyToImage(rgbImage.GetPointer(), Qt::black);
OutputHelpers::WriteImage<RGBImageType>(rgbImage, "Test/TestIsophotes.rgb.mha");
typedef itk::RGBToLuminanceImageFilter< RGBImageType, FloatScalarImageType > LuminanceFilterType;
LuminanceFilterType::Pointer luminanceFilter = LuminanceFilterType::New();
luminanceFilter->SetInput(rgbImage);
luminanceFilter->Update();
OutputHelpers::WriteImage<FloatScalarImageType>(luminanceFilter->GetOutput(), "Test/Luminance.mha");
// PatchBasedInpainting inpainting;
// inpainting.SetDebugImages(true);
// inpainting.SetMask(maskReader->GetOutput());
// inpainting.SetImage(imageReader->GetOutput());
//Helpers::Write2DVectorImage(inpainting.GetIsophoteImage(), "Test/TestIsophotes.isophotes.mha");
//inpainting.FindBoundary();
// After blurVariance == 4, you cannot tell the difference in the output.
for(unsigned int blurVariance = 0; blurVariance < 5; ++blurVariance)
{
std::string fileNumber = Helpers::ZeroPad(blurVariance, 2);
FloatScalarImageType::Pointer blurredLuminance = FloatScalarImageType::New();
// Blur with a Gaussian kernel
MaskOperations::MaskedBlur(luminanceFilter->GetOutput(), maskReader->GetOutput(),
blurVariance, blurredLuminance.GetPointer());
std::stringstream ssBlurredLuminance;
ssBlurredLuminance << "Test/BlurredLuminance_" << fileNumber << ".mha";
OutputHelpers::WriteImage(blurredLuminance.GetPointer(), ssBlurredLuminance.str());
//Helpers::WriteImage<FloatScalarImageType>(blurredLuminance, "Test/TestIsophotes.blurred.mha");
FloatVector2ImageType::Pointer gradient = FloatVector2ImageType::New();
Derivatives::MaskedGradient(blurredLuminance.GetPointer(), maskReader->GetOutput(), gradient.GetPointer());
// Boundary gradient
typedef itk::MaskImageFilter< FloatVector2ImageType, UnsignedCharScalarImageType, FloatVector2ImageType > MaskFilterType;
MaskFilterType::Pointer maskFilter = MaskFilterType::New();
maskFilter->SetInput(gradient);
//maskFilter->SetMaskImage(inpainting.GetBoundaryImage());
maskFilter->Update();
vtkSmartPointer<vtkPolyData> boundaryGradient = vtkSmartPointer<vtkPolyData>::New();
// TODO: Convert this call to new API
//Helpers::ConvertNonZeroPixelsToVectors(maskFilter->GetOutput(), boundaryGradient);
std::stringstream ssPolyData;
ssPolyData << "Test/BoundaryGradient_" << fileNumber << ".vtp";
OutputHelpers::WritePolyData(boundaryGradient, ssPolyData.str());
}
return EXIT_SUCCESS;
}