void
showImage(typename TImage::Pointer image)
{
using std::cout;
using std::endl;
using std::setw;
image->Update();
itk::ImageRegionIterator<TImage> it(image,
image->GetLargestPossibleRegion());
int i = 1;
for (it = it.Begin(); !it.IsAtEnd(); ++it, i++)
{
std::cout << std::setw(4) << it.Get() << " ";
if (i % (image->GetLargestPossibleRegion().GetSize()[0]) == 0)
{
cout << endl;
}
if (i
% (image->GetLargestPossibleRegion().GetSize()[0]
* image->GetLargestPossibleRegion().GetSize()[1]) == 0)
{
cout << endl;
}
}
}
void
CreateImage(typename TImage::Pointer image)
{
typename TImage::IndexType start;
start.Fill(0);
typename TImage::SizeType size;
size.Fill(s);
typename TImage::RegionType region(start, size);
image->SetRegions(region);
image->Allocate();
itk::ImageRegionIterator<TImage> it(image,
image->GetLargestPossibleRegion());
it.GoToBegin();
int i = 0;
typename TImage::PixelType vv = 1;
for (it = it.Begin(); !it.IsAtEnd(); ++it)
{
vv++;
it.Set(i++ % 3 == 0 ? 0 : vv);
}
}
void BDSInpainting<TImage>::Inpaint(TPatchMatchFunctor* const patchMatchFunctor,
TCompositor* const compositor)
{
assert(this->Image);
assert(this->InpaintingMask);
ConstructValidPatchCentersImage();
// Initialize the output with the input
typename TImage::Pointer currentImage = TImage::New();
ITKHelpers::DeepCopy(this->Image.GetPointer(), currentImage.GetPointer());
// Allocate the initial NNField
NNFieldType::Pointer nnField =
NNFieldType::New();
nnField->SetRegions(currentImage->GetLargestPossibleRegion());
nnField->Allocate();
// Initialize the NNField in the target region
typedef SSD<TImage> PatchDistanceFunctorType;
PatchDistanceFunctorType patchDistanceFunctor;
patchDistanceFunctor.SetImage(currentImage);
patchMatchFunctor->SetValidPatchCentersImage(this->ValidPatchCentersImage);
std::vector<itk::Index<2> > pixelsToProcess = this->InpaintingMask->GetHolePixels();
patchMatchFunctor->SetTargetPixels(pixelsToProcess);
patchMatchFunctor->SetPatchRadius(this->PatchRadius);
patchMatchFunctor->GetPropagationFunctor()->SetPatchDistanceFunctor(&patchDistanceFunctor);
patchMatchFunctor->GetPropagationFunctor()->SetPatchRadius(this->PatchRadius);
patchMatchFunctor->GetRandomSearchFunctor()->SetImage(this->Image);
patchMatchFunctor->GetRandomSearchFunctor()->SetPatchRadius(this->PatchRadius);
patchMatchFunctor->GetRandomSearchFunctor()->SetPatchDistanceFunctor(&patchDistanceFunctor);
compositor->SetPatchRadius(this->PatchRadius);
compositor->SetTargetMask(this->InpaintingMask);
compositor->SetImage(currentImage);
compositor->SetNearestNeighborField(patchMatchFunctor->GetNNField());
for(unsigned int iteration = 0; iteration < this->Iterations; ++iteration)
{
// Run PatchMatch to compute the NNField
patchMatchFunctor->Compute();
std::stringstream ssNNFieldFileName;
ssNNFieldFileName << "BDS_" << iteration << "_NNField.mha";
PatchMatchHelpers::WriteNNField(patchMatchFunctor->GetNNField(), ssNNFieldFileName.str());
// Update the target pixels
compositor->Composite();
ITKHelpers::DeepCopy(compositor->GetOutput(), currentImage.GetPointer());
}
ITKHelpers::DeepCopy(currentImage.GetPointer(), this->Output.GetPointer());
}
void SmoothedClassProbabilites< TImage>
::GenerateData()
{
typename TImage::Pointer out = this->GetOutput(0);
out->SetRegions(this->GetInput(0)->GetLargestPossibleRegion());
out->Allocate();
for(unsigned int i = 0 ; i < this->GetNumberOfInputs(); i++)
{
auto gf = itk::DiscreteGaussianImageFilter<TImage,TImage>::New();
gf->SetInput(this->GetInput(i));
gf->SetVariance(this->m_Sigma);
gf->Update();
ImageRegionConstIterator<TImage> git(gf->GetOutput(),gf->GetOutput()->GetLargestPossibleRegion());
ImageRegionIterator<TImage> maskiter(m_MaskImage, m_MaskImage->GetLargestPossibleRegion());
ImageRegionIterator<TImage> outputIter(out, out->GetLargestPossibleRegion());
while (!outputIter.IsAtEnd())
{
if(maskiter.Value() > 0 ){
if(git.Value() > outputIter.Value())
outputIter.Set(i);
}else
{
outputIter.Set(0);
}
++git;
++outputIter;
++maskiter;
}
}
}
void SampleGradHistogram(double *pt, double radius, typename TImage::Pointer image, arma::ivec& samples)
{
typedef TImage ImageType;
int radius_pix[3]; //radius in voxels, to be calculated
radius_pix[0] = std::ceil(radius / image->GetSpacing()[0]);
radius_pix[1] = std::ceil(radius / image->GetSpacing()[1]);
radius_pix[2] = std::ceil(radius / image->GetSpacing()[2]);
#ifdef DEBUG_MESSAGES_HOG
std::cout << "Requested point: " << pt[0] << ", " << pt[1] << ", " << pt[2] << std::endl;
std::cout << "Neighborhood size in mm: " << radius << std::endl;
std::cout << "Neighborhood size in pix: " << radius_pix[0] << ", " << radius_pix[1] << ", " << radius_pix[2] << std::endl;
#endif
if (radius_pix[0] == 0 || radius_pix[1] == 0 || radius_pix[2] == 0) {
std::cout << "One of the neighborhood dimensions is zero. Please correct the radius. Aborting." << std::endl;
return;
}
//transform the point from physical s1pace
typename ImageType::PointType point;
point[0] = pt[0];
point[1] = pt[1];
point[2] = pt[2];
typename ImageType::IndexType pt_pix;
image->TransformPhysicalPointToIndex(point, pt_pix);
//define the region around the point of interest
typename ImageType::IndexType rgn_idx = {
{pt_pix[0] - radius_pix[0], pt_pix[1] - radius_pix[1], pt_pix[2] - radius_pix[2]}};
typename ImageType::SizeType rgn_size = {
{2 * radius_pix[0] + 1, 2 * radius_pix[1] + 1, 2 * radius_pix[2] + 1}};
//crop the region so that it is inside
rgn_idx[0] = std::max(rgn_idx[0], image->GetLargestPossibleRegion().GetIndex(0));
rgn_idx[1] = std::max(rgn_idx[1], image->GetLargestPossibleRegion().GetIndex(1));
rgn_idx[2] = std::max(rgn_idx[2], image->GetLargestPossibleRegion().GetIndex(2));
//set it first as a corner for comparison and then undo that operation
rgn_size[0] = std::min(rgn_size[0]+rgn_idx[0], image->GetLargestPossibleRegion().GetSize(0))-rgn_idx[0];
rgn_size[1] = std::min(rgn_size[1]+rgn_idx[1], image->GetLargestPossibleRegion().GetSize(1))-rgn_idx[1];
rgn_size[2] = std::min(rgn_size[2]+rgn_idx[2], image->GetLargestPossibleRegion().GetSize(2))-rgn_idx[2];
typename ImageType::RegionType window(rgn_idx, rgn_size);
#ifdef DEBUG_MESSAGES_HOG
std::cout << "Region: " << window << std::endl;
#endif
samples.set_size(rgn_size[0]*rgn_size[1]*rgn_size[2]);
samples.zeros();
// itk::ImageRegionConstIterator<typename GradientFilterType::OutputImageType> imageIterator(gradient_filter->GetOutput(), window);
itk::ImageRegionConstIterator<ImageType> imageIterator(image, window);
imageIterator.GoToBegin();
int i=0;
while (!imageIterator.IsAtEnd()) {
// Get the value of the current pixel
typename ImageType::PixelType val = imageIterator.Get();
//std::cout << val << std::endl;
samples[i++] = val;
++imageIterator;
}
}
void ManualPatchSelectionDialog<TImage>::slot_UpdateResult(const itk::ImageRegion<2>& sourceRegion,
const itk::ImageRegion<2>& targetRegion)
{
assert(sourceRegion.GetSize() == targetRegion.GetSize());
if(!this->Image->GetLargestPossibleRegion().IsInside(sourceRegion))
{
std::cerr << "Source region is outside the image!" << std::endl;
return;
}
QImage qimage(sourceRegion.GetSize()[0], sourceRegion.GetSize()[1], QImage::Format_RGB888);
if(MaskImage->CountHolePixels(sourceRegion) > 0)
{
//std::cerr << "The source patch must not have any hole pixels!" << std::endl;
//btnAccept->setVisible(false);
qimage.fill(Qt::green);
}
else
{
typename TImage::Pointer tempImage = TImage::New();
ITKHelpers::ConvertTo3Channel(this->Image, tempImage.GetPointer());
if(this->Image->GetNumberOfComponentsPerPixel() != 3)
{
ITKHelpers::ScaleAllChannelsTo255(tempImage.GetPointer());
}
itk::ImageRegionIterator<TImage> sourceIterator(tempImage, sourceRegion);
itk::ImageRegionIterator<TImage> targetIterator(tempImage, targetRegion);
itk::ImageRegionIterator<Mask> maskIterator(MaskImage, targetRegion);
typename TImage::Pointer resultPatch = TImage::New();
resultPatch->SetNumberOfComponentsPerPixel(Image->GetNumberOfComponentsPerPixel());
itk::ImageRegion<2> resultPatchRegion;
resultPatchRegion.SetSize(sourceRegion.GetSize());
resultPatch->SetRegions(resultPatchRegion);
resultPatch->Allocate();
while(!maskIterator.IsAtEnd())
{
ITKHelpers::FloatVectorImageType::PixelType pixel;
if(MaskImage->IsHole(maskIterator.GetIndex()))
{
pixel = sourceIterator.Get();
}
else
{
pixel = targetIterator.Get();
}
itk::Offset<2> offset = sourceIterator.GetIndex() - sourceRegion.GetIndex();
itk::Index<2> offsetIndex;
offsetIndex[0] = offset[0];
offsetIndex[1] = offset[1];
resultPatch->SetPixel(offsetIndex, pixel);
++sourceIterator;
++targetIterator;
++maskIterator;
} // end iterator loop
qimage = ITKQtHelpers::GetQImageColor(resultPatch.GetPointer(), resultPatch->GetLargestPossibleRegion());
} // end else
this->ResultPatchScene->clear();
QGraphicsPixmapItem* item = this->ResultPatchScene->addPixmap(QPixmap::fromImage(qimage));
gfxResult->fitInView(item);
}
void SampleStatistics(double *pt, double radius, typename TImage::Pointer image, arma::vec& features)
{
features.set_size(4); //just four features for now
features.zeros();
typedef TImage ImageType;
int radius_pix[3]; //radius in voxels, to be calculated
radius_pix[0] = std::ceil(radius / image->GetSpacing()[0]);
radius_pix[1] = std::ceil(radius / image->GetSpacing()[1]);
radius_pix[2] = std::ceil(radius / image->GetSpacing()[2]);
#ifdef DEBUG_MESSAGES_HOG
std::cout << "Requested point: " << pt[0] << ", " << pt[1] << ", " << pt[2] << std::endl;
std::cout << "Neighborhood size in mm: " << radius << std::endl;
std::cout << "Neighborhood size in pix: " << radius_pix[0] << ", " << radius_pix[1] << ", " << radius_pix[2] << std::endl;
#endif
if (radius_pix[0] == 0 || radius_pix[1] == 0 || radius_pix[2] == 0) {
std::cout << "One of the neighborhood dimensions is zero. Please correct the radius. Aborting." << std::endl;
return;
}
//transform the point from physical s1pace
typename ImageType::PointType point;
point[0] = pt[0];
point[1] = pt[1];
point[2] = pt[2];
typename ImageType::IndexType pt_pix;
image->TransformPhysicalPointToIndex(point, pt_pix);
//define the region around the point of interest
typename ImageType::IndexType rgn_idx = {
{pt_pix[0] - radius_pix[0], pt_pix[1] - radius_pix[1], pt_pix[2] - radius_pix[2]}};
typename ImageType::SizeType rgn_size = {
{2 * radius_pix[0] + 1, 2 * radius_pix[1] + 1, 2 * radius_pix[2] + 1}};
//crop the region so that it is inside
rgn_idx[0] = std::max(rgn_idx[0], image->GetLargestPossibleRegion().GetIndex(0));
rgn_idx[1] = std::max(rgn_idx[1], image->GetLargestPossibleRegion().GetIndex(1));
rgn_idx[2] = std::max(rgn_idx[2], image->GetLargestPossibleRegion().GetIndex(2));
//set it first as a corner for comparison and then undo that operation
rgn_size[0] = std::min(rgn_size[0]+rgn_idx[0], image->GetLargestPossibleRegion().GetSize(0))-rgn_idx[0];
rgn_size[1] = std::min(rgn_size[1]+rgn_idx[1], image->GetLargestPossibleRegion().GetSize(1))-rgn_idx[1];
rgn_size[2] = std::min(rgn_size[2]+rgn_idx[2], image->GetLargestPossibleRegion().GetSize(2))-rgn_idx[2];
typename ImageType::RegionType window(rgn_idx, rgn_size);
#ifdef DEBUG_MESSAGES_HOG
std::cout << "Region: " << window << std::endl;
#endif
itk::ImageRegionConstIterator<ImageType> imageIterator(image, window);
imageIterator.GoToBegin();
const int nvoxels = rgn_size[0]*rgn_size[1]*rgn_size[2];
arma::vec voxels;
voxels.set_size(nvoxels);
voxels.zeros();
long int i=0;
while (!imageIterator.IsAtEnd()) {
// Get the value of the current pixel
typename ImageType::PixelType val = imageIterator.Get();
//std::cout << val << std::endl;
voxels[i++] = val;
++imageIterator;
}
//do the statistics
const double mean = arma::mean(voxels);
const double std = arma::stddev(voxels);
double E3 = 0; //Accumulate expectation of (X-u)^3
double E4 = 0; //Accumulate expectation of (X-u)^4
for(int i=0; i<voxels.size(); i++)
{
const double diff = voxels[i] - mean;
const double k = diff*diff*diff/nvoxels;
E3 += k; //cubed
E4 += diff*k; //4th power
}
features[0] = mean;
features[1] = std;
features[2] = E3/(std*std*std); //skewness
features[3] = E3/(std*std*std*std); //kurtosis
}
