void CriminisiInpainting::UpdateMask(const itk::Index<2> inputPixel)
{
try
{
// Create a black patch
Mask::Pointer blackPatch = Mask::New();
//Helpers::CreateBlankPatch<UnsignedCharScalarImageType>(blackPatch, this->PatchRadius[0]);
Helpers::CreateConstantPatch<Mask>(blackPatch, this->CurrentMask->GetValidValue(), this->PatchRadius[0]);
itk::Index<2> pixel;
pixel[0] = inputPixel[0] - blackPatch->GetLargestPossibleRegion().GetSize()[0]/2;
pixel[1] = inputPixel[1] - blackPatch->GetLargestPossibleRegion().GetSize()[1]/2;
// Paste it into the mask
typedef itk::PasteImageFilter <Mask, Mask> PasteImageFilterType;
PasteImageFilterType::Pointer pasteFilter = PasteImageFilterType::New();
//pasteFilter->SetInput(0, this->CurrentMask);
//pasteFilter->SetInput(1, blackPatch);
pasteFilter->SetSourceImage(blackPatch);
pasteFilter->SetDestinationImage(this->CurrentMask);
pasteFilter->SetSourceRegion(blackPatch->GetLargestPossibleRegion());
pasteFilter->SetDestinationIndex(pixel);
pasteFilter->Update();
// Not sure how Mask::DeepCopyFrom would work on the output of a filter, so do this manually.
Helpers::DeepCopy<Mask>(pasteFilter->GetOutput(), this->CurrentMask);
this->CurrentMask->SetHoleValue(this->OriginalMask->GetHoleValue());
this->CurrentMask->SetValidValue(this->OriginalMask->GetValidValue());
}
catch( itk::ExceptionObject & err )
{
std::cerr << "ExceptionObject caught in UpdateMask!" << std::endl;
std::cerr << err << std::endl;
exit(-1);
}
}
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;
}
static void CreateMask(Mask::Pointer mask)
{
itk::Size<2> size;
size.Fill(20);
itk::Index<2> start;
start.Fill(0);
itk::ImageRegion<2> region(start,size);
mask->SetRegions(region);
mask->Allocate();
mask->FillBuffer(mask->GetValidValue());
itk::ImageRegionIterator<Mask> iterator(mask, mask->GetLargestPossibleRegion());
while(!iterator.IsAtEnd())
{
if(iterator.GetIndex()[0] > 5 && iterator.GetIndex()[0] < 15 &&
iterator.GetIndex()[1] > 5 && iterator.GetIndex()[1] < 15)
{
mask->SetPixel(iterator.GetIndex(), mask->GetHoleValue());
}
++iterator;
}
}
// 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 Mask::FindBoundary(UnsignedCharScalarImageType* boundaryImage) const
{
// Compute the "outer" boundary of the region to fill. That is, we want the boundary pixels to be in the source region.
//HelpersOutput::WriteImageConditional<Mask>(this->CurrentMask, "Debug/FindBoundary.CurrentMask.mha", this->DebugImages);
//HelpersOutput::WriteImageConditional<Mask>(this->CurrentMask, "Debug/FindBoundary.CurrentMask.png", this->DebugImages);
// Create a binary image (throw away the "dont use" pixels)
Mask::Pointer holeOnly = Mask::New();
holeOnly->DeepCopyFrom(this);
itk::ImageRegionIterator<Mask> maskIterator(holeOnly, holeOnly->GetLargestPossibleRegion());
// This should result in a white hole on a black background
while(!maskIterator.IsAtEnd())
{
itk::Index<2> currentPixel = maskIterator.GetIndex();
if(!holeOnly->IsHole(currentPixel))
{
holeOnly->SetPixel(currentPixel, holeOnly->GetValidValue());
}
++maskIterator;
}
//HelpersOutput::WriteImageConditional<Mask>(holeOnly, "Debug/FindBoundary.HoleOnly.mha", this->DebugImages);
//HelpersOutput::WriteImageConditional<Mask>(holeOnly, "Debug/FindBoundary.HoleOnly.png", this->DebugImages);
// Since the hole is white, we want the foreground value of the contour filter to be black. This means that the boundary will
// be detected in the black pixel region, which is on the outside edge of the hole like we want. However,
// The BinaryContourImageFilter will change all non-boundary pixels to the background color, so the resulting output will be inverted -
// the boundary pixels will be black and the non-boundary pixels will be white.
// Find the boundary
typedef itk::BinaryContourImageFilter <Mask, Mask> binaryContourImageFilterType;
binaryContourImageFilterType::Pointer binaryContourFilter = binaryContourImageFilterType::New();
binaryContourFilter->SetInput(holeOnly);
binaryContourFilter->SetFullyConnected(true);
binaryContourFilter->SetForegroundValue(holeOnly->GetValidValue());
binaryContourFilter->SetBackgroundValue(holeOnly->GetHoleValue());
binaryContourFilter->Update();
//HelpersOutput::WriteImageConditional<Mask>(binaryContourFilter->GetOutput(), "Debug/FindBoundary.Boundary.mha", this->DebugImages);
//HelpersOutput::WriteImageConditional<Mask>(binaryContourFilter->GetOutput(), "Debug/FindBoundary.Boundary.png", this->DebugImages);
// Since we want to interpret non-zero pixels as boundary pixels, we must invert the image.
typedef itk::InvertIntensityImageFilter <Mask> InvertIntensityImageFilterType;
InvertIntensityImageFilterType::Pointer invertIntensityFilter = InvertIntensityImageFilterType::New();
invertIntensityFilter->SetInput(binaryContourFilter->GetOutput());
invertIntensityFilter->SetMaximum(255);
invertIntensityFilter->Update();
//this->BoundaryImage = binaryContourFilter->GetOutput();
//this->BoundaryImage->Graft(binaryContourFilter->GetOutput());
ITKHelpers::DeepCopy<UnsignedCharScalarImageType>(invertIntensityFilter->GetOutput(), boundaryImage);
//HelpersOutput::WriteImageConditional<UnsignedCharScalarImageType>(this->BoundaryImage, "Debug/FindBoundary.BoundaryImage.mha", this->DebugImages);
}
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[])
{
// 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, char*[])
{
// typedef itk::Image<itk::CovariantVector<int, 3>, 2> ImageType;
typedef itk::Image<itk::CovariantVector<unsigned char, 3>, 2> ImageType;
ImageType::PixelType red;
red.Fill(0);
red[0] = 255;
ImageType::PixelType black;
black.Fill(0);
ImageType::PixelType white;
white.Fill(255);
ImageType::PixelType green; // Note this is not 255 because then the magnitude of red and green would be the same,
// which makes debugging hard since the gradient of the magnitude image is used internally (in IntroducedEnergy).
green.Fill(0);
green[1] = 122;
ImageType::PixelType blue;
blue.Fill(0);
blue[2] = 255;
ImageType::Pointer image = ImageType::New();
itk::Index<2> imageCorner = {{0,0}};
itk::Size<2> imageSize = {{100,100}};
itk::ImageRegion<2> region(imageCorner,imageSize);
image->SetRegions(region);
image->Allocate();
Mask::Pointer mask = Mask::New();
mask->SetRegions(region);
mask->Allocate();
itk::ImageRegionIteratorWithIndex<Mask> initializeMaskIterator(mask, mask->GetLargestPossibleRegion());
while(!initializeMaskIterator.IsAtEnd())
{
if(initializeMaskIterator.GetIndex()[0] < 55)
{
initializeMaskIterator.Set(mask->GetHoleValue());
}
else
{
initializeMaskIterator.Set(mask->GetValidValue());
}
++initializeMaskIterator;
}
ITKHelpers::WriteImage(mask.GetPointer(), "mask.png");
// Create a red image
itk::ImageRegionIterator<ImageType> initializeIterator(image, image->GetLargestPossibleRegion());
while(!initializeIterator.IsAtEnd())
{
initializeIterator.Set(red);
++initializeIterator;
}
// Setup source and target patch
itk::Size<2> patchSize = {{10,10}};
itk::Index<2> sourceCorner = {{10,10}};
itk::ImageRegion<2> sourceRegion(sourceCorner, patchSize);
itk::Index<2> targetCorner = {{50,50}};
itk::ImageRegion<2> targetRegion(targetCorner, patchSize);
itk::Index<2> perfectSourceCorner = {{75,75}};
itk::ImageRegion<2> perfectSourceRegion(perfectSourceCorner, patchSize);
// Make the source patch green
itk::ImageRegionIterator<ImageType> sourceRegionIterator(image, sourceRegion);
while(!sourceRegionIterator.IsAtEnd())
{
sourceRegionIterator.Set(green);
++sourceRegionIterator;
}
ITKHelpers::WriteImage(image.GetPointer(), "image.png");
{
ImageType::Pointer regionHighlightImage = ImageType::New();
ITKHelpers::DeepCopy(image.GetPointer(), regionHighlightImage.GetPointer());
ITKHelpers::OutlineRegion(regionHighlightImage.GetPointer(), sourceRegion, white);
ITKHelpers::OutlineRegion(regionHighlightImage.GetPointer(), targetRegion, black);
ITKHelpers::OutlineRegion(regionHighlightImage.GetPointer(), perfectSourceRegion, blue);
ITKHelpers::WriteImage(regionHighlightImage.GetPointer(), "regions.png");
}
IntroducedEnergy<ImageType> introducedEnergy;
introducedEnergy.SetDebugImages(true);
// Bad match
{
std::cout << "Bad match:" << std::endl;
float patchBoundaryEnergy = introducedEnergy.ComputeIntroducedEnergyPatchBoundary(image, mask, sourceRegion, targetRegion);
std::cout << "patchBoundaryEnergy: " << patchBoundaryEnergy << std::endl;
float maskBoundaryEnergy = introducedEnergy.ComputeIntroducedEnergyMaskBoundary(image, mask, sourceRegion, targetRegion);
std::cout << "maskBoundaryEnergy: " << maskBoundaryEnergy << std::endl;
float totalEnergy = introducedEnergy.ComputeIntroducedEnergy(image, mask, sourceRegion, targetRegion);
std::cout << "totalEnergy: " << totalEnergy << std::endl;
}
// Perfect match
{
std::cout << "Perfect match:" << std::endl;
// IntroducedEnergy<ImageType> introducedEnergy;
typedef IntroducedEnergy<ImageType> IntroducedEnergyType;
float patchBoundaryEnergy = introducedEnergy.ComputeIntroducedEnergyPatchBoundary(image, mask, perfectSourceRegion, targetRegion);
std::cout << "patchBoundaryEnergy: " << patchBoundaryEnergy << std::endl;
float maskBoundaryEnergy = introducedEnergy.ComputeIntroducedEnergyMaskBoundary(image, mask, perfectSourceRegion, targetRegion);
std::cout << "maskBoundaryEnergy: " << maskBoundaryEnergy << std::endl;
float totalEnergy = introducedEnergy.ComputeIntroducedEnergy(image, mask, perfectSourceRegion, targetRegion);
std::cout << "totalEnergy: " << totalEnergy << std::endl;
}
return EXIT_SUCCESS;
}
int main(int argc, char *argv[])
{
unsigned int t = time(NULL);
srand(t);
itk::Size<2> size;
size.Fill(100);
itk::Index<2> index;
index.Fill(0);
itk::ImageRegion<2> region(index, size);
/*
// Generate a random image (this method doesn't work with VectorImage)
itk::RandomImageSource<FloatVectorImageType>::Pointer imageSource =
itk::RandomImageSource<FloatVectorImageType>::New();
imageSource->SetNumberOfThreads(1); // to produce non-random results
imageSource->SetSize(size);
imageSource->SetMin(0);
imageSource->SetMax(100);
imageSource->Update();
FloatVectorImageType::Pointer image = imageSource->GetOutput();
*/
// Generate a random image
FloatVectorImageType::Pointer image = FloatVectorImageType::New();
image->SetRegions(region);
image->SetNumberOfComponentsPerPixel(3);
image->Allocate();
{
itk::ImageRegionIterator<FloatVectorImageType> imageIterator(image, image->GetLargestPossibleRegion());
while(!imageIterator.IsAtEnd())
{
FloatVectorImageType::PixelType pixel;
pixel.SetSize(3);
pixel[0] = drand48();
pixel[1] = drand48();
pixel[2] = drand48();
imageIterator.Set(pixel);
++imageIterator;
}
}
// Generate a random membership image
IntImageType::Pointer membershipImage = IntImageType::New();
membershipImage->SetRegions(region);
membershipImage->Allocate();
membershipImage->FillBuffer(0);
{
itk::ImageRegionIterator<IntImageType> membershipImageIterator(membershipImage, membershipImage->GetLargestPossibleRegion());
while(!membershipImageIterator.IsAtEnd())
{
IntImageType::PixelType pixel;
pixel = rand() / 1000;
membershipImageIterator.Set(pixel);
++membershipImageIterator;
}
}
// Write the image
itk::ImageFileWriter<FloatVectorImageType>::Pointer imageWriter =
itk::ImageFileWriter<FloatVectorImageType>::New();
imageWriter->SetFileName("image.mha");
imageWriter->SetInput(image);
imageWriter->Update();
// // Generate a random mask
// itk::RandomImageSource<Mask>::Pointer maskSource = itk::RandomImageSource<Mask>::New();
// maskSource->SetNumberOfThreads(1); // to produce non-random results
// maskSource->SetSize(size);
// maskSource->SetMin(0);
// maskSource->SetMax(255);
// maskSource->Update();
//
// // Threshold the mask
// //typedef itk::ThresholdImageFilter <UnsignedCharImageType> ThresholdImageFilterType;
// typedef itk::BinaryThresholdImageFilter <Mask, Mask> ThresholdImageFilterType;
// ThresholdImageFilterType::Pointer thresholdFilter = ThresholdImageFilterType::New();
// thresholdFilter->SetInput(maskSource->GetOutput());
// thresholdFilter->SetLowerThreshold(0);
// thresholdFilter->SetUpperThreshold(122);
// thresholdFilter->SetOutsideValue(1);
// thresholdFilter->SetInsideValue(0);
// thresholdFilter->Update();
// Mask::Pointer mask = thresholdFilter->GetOutput();
std::cout << "Creating mask..." << std::endl;
Mask::Pointer mask = Mask::New();
mask->SetRegions(region);
mask->Allocate();
{
itk::ImageRegionIterator<Mask> maskIterator(mask, mask->GetLargestPossibleRegion());
while(!maskIterator.IsAtEnd())
{
int randomNumber = rand()%10;
//std::cout << "randomNumber: " << randomNumber << std::endl;
if(randomNumber > 5)
{
maskIterator.Set(mask->GetHoleValue());
}
else
{
maskIterator.Set(mask->GetValidValue());
}
++maskIterator;
}
}
std::cout << "Writing mask..." << std::endl;
// Write the mask
itk::ImageFileWriter<Mask>::Pointer maskWriter = itk::ImageFileWriter<Mask>::New();
maskWriter->SetFileName("mask.png");
maskWriter->SetInput(mask);
maskWriter->Update();
std::cout << "Creating source patches..." << std::endl;
unsigned int patchRadius = 10;
// Create source patches
itk::ImageRegionConstIterator<FloatVectorImageType> imageIterator(image, image->GetLargestPossibleRegion());
std::vector<Patch> sourcePatches;
while(!imageIterator.IsAtEnd())
{
itk::Index<2> currentPixel = imageIterator.GetIndex();
itk::ImageRegion<2> region = Helpers::GetRegionInRadiusAroundPixel(currentPixel, patchRadius);
if(image->GetLargestPossibleRegion().IsInside(region))
{
sourcePatches.push_back(Patch(region));
}
++imageIterator;
}
std::cout << "Source patches: " << sourcePatches.size() << std::endl;
itk::Size<2> targetSize;
targetSize.Fill(patchRadius * 2 + 1);
itk::Index<2> targetIndex;
targetIndex.Fill(3);
itk::ImageRegion<2> targetRegion(targetIndex, targetSize);
Patch targetPatch(targetRegion);
CandidatePairs pairs(targetPatch);
pairs.AddPairFromPatch(targetPatch);
itk::ImageRegion<2> adjacentRegion = targetRegion;
itk::Index<2> adjacentIndex;
adjacentIndex[0] = targetIndex[0] + 1;
adjacentIndex[1] = targetIndex[1] + 1;
adjacentRegion.SetIndex(adjacentIndex);
Patch adjacentPatch(adjacentRegion);
pairs.AddPairFromPatch(adjacentPatch);
//pairs.AddPairFromPatch(sourcePatches[0]);
SelfPatchCompare patchCompare;
patchCompare.SetPairs(&pairs);
patchCompare.SetImage(image);
patchCompare.SetMask(mask);
patchCompare.SetNumberOfComponentsPerPixel(3);
patchCompare.SetMembershipImage(membershipImage);
patchCompare.FunctionsToCompute.push_back(boost::bind(&SelfPatchCompare::SetPatchMembershipDifference,&patchCompare,_1));
patchCompare.ComputeAllSourceDifferences();
std::cout << "pairs: " << pairs.size() << std::endl;
for(unsigned int i = 0; i < pairs.size(); ++i)
{
std::cout << "MembershipDifference: " << pairs[i].DifferenceMap[PatchPair::MembershipDifference] << std::endl;
}
//unsigned int bestMatchSourcePatchId = patchCompare.FindBestPatch();
//std::cout << "bestMatchSourcePatchId: " << bestMatchSourcePatchId << std::endl;
/*
unsigned int patchId = 1;
float slowPatchDifference = patchCompare.SlowDifference(sourcePatches[patchId]);
std::cout << "slowPatchDifference: " << slowPatchDifference << std::endl;
float fastPatchDifference = patchCompare.PatchDifference(sourcePatches[patchId]);
std::cout << "fastPatchDifference: " << fastPatchDifference << std::endl;
unsigned int iterations = 1e6;
itk::TimeProbe slowTimer;
slowTimer.Start();
for(unsigned int i = 0; i < iterations; ++i)
{
float slowPatchDifference = patchCompare.SlowDifference(sourcePatches[patchId]);
}
slowTimer.Stop();
std::cout << "Slow Total: " << slowTimer.GetTotal() << std::endl;
itk::TimeProbe fastTimer;
fastTimer.Start();
for(unsigned int i = 0; i < iterations; ++i)
{
float fastPatchDifference = patchCompare.PatchDifference(sourcePatches[patchId]);
}
fastTimer.Stop();
std::cout << "Fast Total: " << fastTimer.GetTotal() << std::endl;*/
return EXIT_SUCCESS;
}
bool AcceptMatch(VertexDescriptorType target, VertexDescriptorType source, float& computedEnergy) const
{
//std::cout << "DilatedVarianceDifferenceAcceptanceVisitor::AcceptMatch" << std::endl;
itk::Index<2> targetPixel = ITKHelpers::CreateIndex(target);
itk::ImageRegion<2> targetRegion = ITKHelpers::GetRegionInRadiusAroundPixel(targetPixel, HalfWidth);
itk::Index<2> sourcePixel = ITKHelpers::CreateIndex(source);
itk::ImageRegion<2> sourceRegion = ITKHelpers::GetRegionInRadiusAroundPixel(sourcePixel, HalfWidth);
// Compute the functor on the pixels in the region just inside the hole in the source patch
typename TypeTraits<typename TImage::PixelType>::LargerType sourceValue;
{
Mask::Pointer originalHole = Mask::New();
ITKHelpers::ExtractRegion(MaskImage, targetRegion, originalHole.GetPointer());
Mask::Pointer shrunkHole = Mask::New();
shrunkHole->DeepCopyFrom(originalHole);
shrunkHole->ShrinkHole(5);
typedef itk::Image<bool, 2> BoolImage;
BoolImage::Pointer holeRindImage = BoolImage::New(); // "rind" like an "orange rind"
ITKHelpers::XORRegions(originalHole.GetPointer(), originalHole->GetLargestPossibleRegion(),
shrunkHole.GetPointer(), shrunkHole->GetLargestPossibleRegion(), holeRindImage.GetPointer());
std::vector<itk::Index<2> > holeRindPixels = ITKHelpers::GetPixelsWithValue(holeRindImage.GetPointer(), holeRindImage->GetLargestPossibleRegion(), true);
itk::Index<2> zeroIndex = {{0,0}};
std::vector<itk::Offset<2> > holeRindOffsets = ITKHelpers::IndicesToOffsets(holeRindPixels, zeroIndex);
std::vector<itk::Index<2> > sourceRindPixelIndices = ITKHelpers::OffsetsToIndices(holeRindOffsets, sourceRegion.GetIndex());
std::vector<typename TImage::PixelType> sourceRindPixels = ITKHelpers::GetPixelValues(Image, sourceRindPixelIndices);
sourceValue = Functor(sourceRindPixels);
}
// Compute the functor on the pixels in the region just outside the hole in the target patch
typename TypeTraits<typename TImage::PixelType>::LargerType targetValue;
{
Mask::Pointer originalHole = Mask::New();
ITKHelpers::ExtractRegion(MaskImage, targetRegion, originalHole.GetPointer());
Mask::Pointer expandedHole = Mask::New();
expandedHole->DeepCopyFrom(originalHole);
expandedHole->ExpandHole(5);
typedef itk::Image<bool, 2> BoolImage;
BoolImage::Pointer validRindImage = BoolImage::New(); // "rind" like an "orange rind"
ITKHelpers::XORRegions(originalHole.GetPointer(), originalHole->GetLargestPossibleRegion(),
expandedHole.GetPointer(), expandedHole->GetLargestPossibleRegion(), validRindImage.GetPointer());
std::vector<itk::Index<2> > validRindPixels = ITKHelpers::GetPixelsWithValue(validRindImage.GetPointer(), validRindImage->GetLargestPossibleRegion(), true);
itk::Index<2> zeroIndex = {{0,0}};
std::vector<itk::Offset<2> > validRindOffsets = ITKHelpers::IndicesToOffsets(validRindPixels, zeroIndex);
std::vector<itk::Index<2> > targetRindPixelIndices = ITKHelpers::OffsetsToIndices(validRindOffsets, targetRegion.GetIndex());
std::vector<typename TImage::PixelType> targetRindPixels = ITKHelpers::GetPixelValues(Image, targetRindPixelIndices);
targetValue = Functor(targetRindPixels);
}
// Compute the difference
computedEnergy = (targetValue - sourceValue).GetNorm();
//std::cout << this->VisitorName << " Energy: " << computedEnergy << std::endl;
if(computedEnergy < DifferenceThreshold)
{
std::cout << this->VisitorName << ": Match accepted (" << computedEnergy << " is less than " << DifferenceThreshold << ")" << std::endl << std::endl;
return true;
}
else
{
std::cout << this->VisitorName << ": Match rejected (" << computedEnergy << " is greater than " << DifferenceThreshold << ")" << std::endl << std::endl;
return false;
}
};
