int main(int argc, char*argv[])
{
if(argc != 3)
{
std::cerr << "Required arguments: mask output" << std::endl;
return EXIT_FAILURE;
}
std::string maskFilename = argv[1];
std::string outputFilename = argv[2];
std::cout << "Reading mask: " << maskFilename << std::endl;
std::cout << "Output: " << outputFilename << std::endl;
Mask::Pointer mask = Mask::New();
mask->Read(maskFilename.c_str());
Mask::BoundaryImageType::Pointer boundaryImage = Mask::BoundaryImageType::New();
boundaryImage->SetRegions(mask->GetLargestPossibleRegion());
boundaryImage->Allocate();
// mask->CreateBoundaryImage(boundaryImage.GetPointer(), mask->GetValidValue());
mask->CreateBoundaryImage(boundaryImage.GetPointer(), Mask::VALID);
ITKHelpers::WriteImage(boundaryImage.GetPointer(), outputFilename);
return EXIT_SUCCESS;
}
int main(int argc, char *argv[])
{
if(argc != 4)
{
std::cerr << "Required arguments: image mask output" << std::endl;
return EXIT_FAILURE;
}
std::string imageFilename = argv[1];
std::string maskFilename = argv[2];
std::string outputFilename = argv[3];
Mask::Pointer mask = Mask::New();
mask->Read(maskFilename);
typedef itk::Image<unsigned char, 2> ImageType;
ImageType::Pointer image = ImageType::New();
ITKHelpers::ReadImage(imageFilename, image.GetPointer());
FastDigitalInpainting fastDigitalInpainting;
fastDigitalInpainting.SetImage(image);
fastDigitalInpainting.SetMask(mask);
fastDigitalInpainting.SetNumberOfIterations(100);
fastDigitalInpainting.Inpaint();
ITKHelpers::WriteImage(fastDigitalInpainting.GetOutput(), outputFilename);
return EXIT_SUCCESS;
}
// 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();
}
int main(int argc, char*argv[])
{
if(argc < 4)
{
std::cerr << "Required arguments: image mask output" << std::endl;
return EXIT_FAILURE;
}
std::string imageFilename = argv[1];
std::string maskFilename = argv[2];
std::string outputFilename = argv[3];
std::cout << "imageFilename: " << imageFilename << std::endl;
std::cout << "maskFilename: " << maskFilename << std::endl;
std::cout << "outputFilename: " << outputFilename << std::endl;
typedef itk::ImageFileReader<ImageType> ImageReaderType;
ImageReaderType::Pointer imageReader = ImageReaderType::New();
imageReader->SetFileName(imageFilename);
imageReader->Update();
Mask::Pointer sourceMask = Mask::New();
sourceMask->Read(maskFilename);
Mask::Pointer targetMask = Mask::New();
targetMask->SetRegions(sourceMask->GetLargestPossibleRegion());
targetMask->Allocate();
ITKHelpers::SetImageToConstant(targetMask.GetPointer(), HoleMaskPixelTypeEnum::VALID);
typedef SSD<ImageType> DistanceFunctorType;
DistanceFunctorType* patchDistanceFunctor = new DistanceFunctorType;
patchDistanceFunctor->SetImage(imageReader->GetOutput());
typedef Propagator<DistanceFunctorType> PropagatorType;
PropagatorType* propagationFunctor = new PropagatorType;
typedef RandomSearch<ImageType, DistanceFunctorType> RandomSearchType;
RandomSearchType* randomSearchFunctor = new RandomSearchType;
typedef PatchMatch<ImageType, PropagatorType, RandomSearchType> PatchMatchType;
PatchMatchType patchMatch;
patchMatch.SetImage(imageReader->GetOutput());
patchMatch.SetPatchRadius(3);
patchMatch.SetPropagationFunctor(propagationFunctor);
patchMatch.SetRandomSearchFunctor(randomSearchFunctor);
patchMatch.Compute();
NNFieldType::Pointer output = patchMatch.GetNNField();
PatchMatchHelpers::WriteNNField(output.GetPointer(), "nnfield.mha");
return EXIT_SUCCESS;
}
int main(int argc, char*argv[])
{
if(argc != 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;
}
int main(int argc, char*argv[])
{
if(argc != 2)
{
std::cerr << "Required arguments: mask" << std::endl;
return EXIT_FAILURE;
}
std::string maskFilename = argv[1];
std::cout << "Reading mask: " << maskFilename << std::endl;
Mask::Pointer mask = Mask::New();
mask->Read(maskFilename.c_str());
std::cout << "There are " << mask->CountBoundaryPixels() << " boundary pixels." << std::endl;
return EXIT_SUCCESS;
}
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;
}
int main(int argc, char *argv[])
{
// Verify arguments
if(argc != 5)
{
std::cerr << "Required arguments: image.png imageMask.mask patchHalfWidth targetPatch.png" << std::endl;
std::cerr << "Input arguments: ";
for(int i = 1; i < argc; ++i)
{
std::cerr << argv[i] << " ";
}
return EXIT_FAILURE;
}
// Parse arguments
std::string imageFilename = argv[1];
std::string maskFilename = argv[2];
std::stringstream ssPatchHalfWidth;
ssPatchHalfWidth << argv[3];
unsigned int patchHalfWidth = 0;
ssPatchHalfWidth >> patchHalfWidth;
std::string targetPatchFileName = argv[4];
// Output arguments
std::cout << "Reading image: " << imageFilename << std::endl;
std::cout << "Reading mask: " << maskFilename << std::endl;
std::cout << "Patch half width: " << patchHalfWidth << std::endl;
std::cout << "targetPatchFileName: " << targetPatchFileName << std::endl;
typedef itk::Image<itk::CovariantVector<int, 3>, 2> OriginalImageType;
typedef itk::ImageFileReader<OriginalImageType> ImageReaderType;
ImageReaderType::Pointer imageReader = ImageReaderType::New();
imageReader->SetFileName(imageFilename);
imageReader->Update();
OriginalImageType* originalImage = imageReader->GetOutput();
Mask::Pointer mask = Mask::New();
mask->Read(maskFilename);
itk::ImageRegion<2> fullRegion = originalImage->GetLargestPossibleRegion();
// Blur the image
// typedef TImage BlurredImageType; // Usually the blurred image is the same type as the original image.
// typename BlurredImageType::Pointer blurredImage = BlurredImageType::New();
// float blurVariance = 2.0f;
//// float blurVariance = 1.2f;
// MaskOperations::MaskedBlur(originalImage.GetPointer(), mask, blurVariance, blurredImage.GetPointer());
// ITKHelpers::WriteRGBImage(blurredImage.GetPointer(), "BlurredImage.png");
typedef ImagePatchPixelDescriptor<OriginalImageType> ImagePatchPixelDescriptorType;
// Create the graph
typedef boost::grid_graph<2> VertexListGraphType;
boost::array<std::size_t, 2> graphSideLengths = { { fullRegion.GetSize()[0],
fullRegion.GetSize()[1] } };
std::shared_ptr<VertexListGraphType> graph(new VertexListGraphType(graphSideLengths));
typedef boost::graph_traits<VertexListGraphType>::vertex_descriptor VertexDescriptorType;
typedef boost::graph_traits<VertexListGraphType>::vertex_iterator VertexIteratorType;
// Queue
typedef IndirectPriorityQueue<VertexListGraphType> BoundaryNodeQueueType;
std::shared_ptr<BoundaryNodeQueueType> boundaryNodeQueue(new BoundaryNodeQueueType(*graph));
// Create the descriptor map. This is where the data for each pixel is stored.
typedef boost::vector_property_map<ImagePatchPixelDescriptorType,
BoundaryNodeQueueType::IndexMapType> ImagePatchDescriptorMapType;
std::shared_ptr<ImagePatchDescriptorMapType> imagePatchDescriptorMap(new
ImagePatchDescriptorMapType(num_vertices(*graph), *(boundaryNodeQueue->GetIndexMap())));
// Create the descriptor visitor
typedef ImagePatchDescriptorVisitor<VertexListGraphType, OriginalImageType, ImagePatchDescriptorMapType>
ImagePatchDescriptorVisitorType;
std::shared_ptr<ImagePatchDescriptorVisitorType> imagePatchDescriptorVisitor(new
ImagePatchDescriptorVisitorType(originalImage, mask,
// ImagePatchDescriptorVisitorType(blurredImage.GetPointer(), mask,
imagePatchDescriptorMap, patchHalfWidth));
// Create the inpainting visitor
// typedef InpaintingVisitor<VertexListGraphType, BoundaryNodeQueueType,
// ImagePatchDescriptorVisitorType, AcceptanceVisitorType, PriorityType>
// InpaintingVisitorType;
// std::shared_ptr<InpaintingVisitorType> inpaintingVisitor(new InpaintingVisitorType(mask, boundaryNodeQueue,
// imagePatchDescriptorVisitor, acceptanceVisitor,
// priorityFunction, patchHalfWidth, "InpaintingVisitor"));
// inpaintingVisitor->SetAllowNewPatches(false);
// // Initialize the boundary node queue from the user provided mask image.
// InitializeFromMaskImage<InpaintingVisitorType, VertexDescriptorType>(mask, inpaintingVisitor.get());
// // Create the nearest neighbor finder
// typedef ImagePatchDifference<ImagePatchPixelDescriptorType,
// SumSquaredPixelDifference<typename TImage::PixelType> > PatchDifferenceType;
// // Write top patch grid at each iteration. To do this, we need a KNNSearcher
// // to pass a list of valid patches to the FirstAndWrite class.
// typedef LinearSearchKNNProperty<ImagePatchDescriptorMapType,
// PatchDifferenceType > KNNSearchType;
// unsigned int knn = 100;
// std::shared_ptr<KNNSearchType> knnSearch(new KNNSearchType(imagePatchDescriptorMap, knn));
// typedef LinearSearchBestFirstAndWrite<ImagePatchDescriptorMapType, TImage,
// PatchDifferenceType> BestSearchType;
// std::shared_ptr<BestSearchType> linearSearchBest(
// new BestSearchType(*imagePatchDescriptorMap, originalImage, mask));
//// typedef KNNBestWrapper<KNNSearchType, BestSearchType> KNNWrapperType;
//// std::shared_ptr<KNNWrapperType> knnWrapper(new KNNWrapperType(knnSearch,
//// linearSearchBest));
return EXIT_SUCCESS;
}
// Run with: Data/trashcan.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;
}
// 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;
}
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;
}
// 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);
// 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;
}
// 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[])
{
// 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;
}