// clitk
#include "clitkSetBackgroundImageFilter.h"
+#include "clitkSliceBySliceRelativePositionFilter.h"
+#include "clitkCropLikeImageFilter.h"
+#include "clitkMemoryUsage.h"
// itk
#include <itkConnectedComponentImageFilter.h>
#include <itkRelabelComponentImageFilter.h>
#include <itkBinaryThresholdImageFilter.h>
#include <itkPasteImageFilter.h>
+#include <itkStatisticsLabelMapFilter.h>
+#include <itkBinaryBallStructuringElement.h>
+#include <itkBinaryDilateImageFilter.h>
+#include <itkConstantPadImageFilter.h>
+#include <itkImageSliceIteratorWithIndex.h>
//--------------------------------------------------------------------
template<class ImageType>
void clitk::ComputeBBFromImageRegion(typename ImageType::Pointer image,
typename ImageType::RegionType region,
typename itk::BoundingBox<unsigned long,
- ImageType::ImageDimension>::Pointer bb) {
+ ImageType::ImageDimension>::Pointer bb) {
typedef typename ImageType::IndexType IndexType;
IndexType firstIndex;
IndexType lastIndex;
for(unsigned int i=0; i<image->GetImageDimension(); i++) {
firstIndex[i] = region.GetIndex()[i];
- lastIndex[i] = region.GetSize()[i];
+ lastIndex[i] = firstIndex[i]+region.GetSize()[i];
}
typedef itk::BoundingBox<unsigned long,
- ImageType::ImageDimension> BBType;
+ ImageType::ImageDimension> BBType;
typedef typename BBType::PointType PointType;
PointType lastPoint;
PointType firstPoint;
PointType maxs = bb->GetMaximum();
PointType mins = bb->GetMinimum();
for(unsigned int i=0; i<ImageType::ImageDimension; i++) {
- regionSize[i] = floor((maxs[i] - mins[i])/image->GetSpacing()[i]);
+ // DD(maxs[i]);
+ // DD(mins[i]);
+ // DD((maxs[i] - mins[i])/image->GetSpacing()[i]);
+ regionSize[i] = lrint((maxs[i] - mins[i])/image->GetSpacing()[i]);
+ // DD(regionSize[i]);
}
// Create region
//--------------------------------------------------------------------
template<class ImageType, class TMaskImageType>
typename ImageType::Pointer
-clitk::SetBackground(typename ImageType::ConstPointer input,
- typename TMaskImageType::ConstPointer mask,
+clitk::SetBackground(const ImageType * input,
+ const TMaskImageType * mask,
typename TMaskImageType::PixelType maskBG,
- typename ImageType::PixelType outValue) {
- typedef clitk::SetBackgroundImageFilter<ImageType, TMaskImageType, ImageType> SetBackgroundImageFilterType;
- typename SetBackgroundImageFilterType::Pointer setBackgroundFilter = SetBackgroundImageFilterType::New();
+ typename ImageType::PixelType outValue,
+ bool inPlace) {
+ typedef clitk::SetBackgroundImageFilter<ImageType, TMaskImageType, ImageType>
+ SetBackgroundImageFilterType;
+ typename SetBackgroundImageFilterType::Pointer setBackgroundFilter
+ = SetBackgroundImageFilterType::New();
+ // if (inPlace) setBackgroundFilter->ReleaseDataFlagOn(); // No seg fault
+ setBackgroundFilter->SetInPlace(inPlace); // This is important to keep memory low
setBackgroundFilter->SetInput(input);
setBackgroundFilter->SetInput2(mask);
setBackgroundFilter->SetMaskValue(maskBG);
//--------------------------------------------------------------------
//--------------------------------------------------------------------
+/*
+ Warning : in this cas, we consider outputType like inputType, not
+ InternalImageType. Be sure it fits.
+ */
template<class ImageType>
typename ImageType::Pointer
-clitk::Labelize(typename ImageType::Pointer input,
+clitk::Labelize(const ImageType * input,
typename ImageType::PixelType BG,
bool isFullyConnected,
int minimalComponentSize) {
+ // InternalImageType for storing large number of component
+ typedef itk::Image<int, ImageType::ImageDimension> InternalImageType;
+
// Connected Component label
- typedef itk::ConnectedComponentImageFilter<ImageType, ImageType> ConnectFilterType;
+ typedef itk::ConnectedComponentImageFilter<ImageType, InternalImageType> ConnectFilterType;
typename ConnectFilterType::Pointer connectFilter = ConnectFilterType::New();
+ // connectFilter->ReleaseDataFlagOn();
connectFilter->SetInput(input);
connectFilter->SetBackgroundValue(BG);
connectFilter->SetFullyConnected(isFullyConnected);
// Sort by size and remove too small area.
- typedef itk::RelabelComponentImageFilter<ImageType, ImageType> RelabelFilterType;
+ typedef itk::RelabelComponentImageFilter<InternalImageType, ImageType> RelabelFilterType;
typename RelabelFilterType::Pointer relabelFilter = RelabelFilterType::New();
- relabelFilter->InPlaceOn();
+ // relabelFilter->ReleaseDataFlagOn(); // if yes, fail when ExplosionControlledThresholdConnectedImageFilter ???
relabelFilter->SetInput(connectFilter->GetOutput());
relabelFilter->SetMinimumObjectSize(minimalComponentSize);
relabelFilter->Update();
// Return result
- return relabelFilter->GetOutput();
+ typename ImageType::Pointer output = relabelFilter->GetOutput();
+ return output;
}
//--------------------------------------------------------------------
//--------------------------------------------------------------------
template<class ImageType>
typename ImageType::Pointer
-clitk::KeepLabels(typename ImageType::Pointer input,
+clitk::KeepLabels(const ImageType * input,
typename ImageType::PixelType BG,
typename ImageType::PixelType FG,
typename ImageType::PixelType firstKeep,
//--------------------------------------------------------------------
template<class ImageType>
typename ImageType::Pointer
-clitk::EnlargeImageLike(typename ImageType::Pointer input,
- typename ImageType::Pointer like,
- typename ImageType::PixelType backgroundValue)
+clitk::ResizeImageLike(typename ImageType::Pointer input,
+ typename ImageType::Pointer like,
+ typename ImageType::PixelType backgroundValue)
{
- if (!HaveSameSpacing<ImageType, ImageType>(input, like)) {
- FATAL("Images must have the same spacing");
- }
+ typedef clitk::CropLikeImageFilter<ImageType> CropFilterType;
+ typename CropFilterType::Pointer cropFilter = CropFilterType::New();
+ cropFilter->SetInput(input);
+ cropFilter->SetCropLikeImage(like);
+ cropFilter->SetBackgroundValue(backgroundValue);
+ cropFilter->Update();
+ return cropFilter->GetOutput();
+}
+//--------------------------------------------------------------------
- typename ImageType::Pointer output = ImageType::New();
- typename ImageType::SizeType size;
- for(unsigned int i=0; i<ImageType::ImageDimension; i++) {
- size[i] = lrint((like->GetLargestPossibleRegion().GetSize()[i]*like->GetSpacing()[i])/
- (double)like->GetSpacing()[i]);
+
+//--------------------------------------------------------------------
+template<class MaskImageType>
+typename MaskImageType::Pointer
+clitk::SliceBySliceRelativePosition(const MaskImageType * input,
+ const MaskImageType * object,
+ int direction,
+ double threshold,
+ std::string orientation,
+ bool uniqueConnectedComponent,
+ double spacing,
+ bool inverseflag)
+{
+ typedef clitk::SliceBySliceRelativePositionFilter<MaskImageType> SliceRelPosFilterType;
+ typename SliceRelPosFilterType::Pointer sliceRelPosFilter = SliceRelPosFilterType::New();
+ sliceRelPosFilter->VerboseStepFlagOff();
+ sliceRelPosFilter->WriteStepFlagOff();
+ sliceRelPosFilter->SetInput(input);
+ sliceRelPosFilter->SetInputObject(object);
+ sliceRelPosFilter->SetDirection(direction);
+ sliceRelPosFilter->SetFuzzyThreshold(threshold);
+ sliceRelPosFilter->AddOrientationTypeString(orientation);
+ sliceRelPosFilter->SetResampleBeforeRelativePositionFilter((spacing != -1));
+ sliceRelPosFilter->SetIntermediateSpacing(spacing);
+ sliceRelPosFilter->SetUniqueConnectedComponentBySlice(uniqueConnectedComponent);
+ sliceRelPosFilter->SetInverseOrientationFlag(inverseflag);
+ // sliceRelPosFilter->SetAutoCropFlag(true); ??
+ sliceRelPosFilter->Update();
+ return sliceRelPosFilter->GetOutput();
+}
+//--------------------------------------------------------------------
+
+//--------------------------------------------------------------------
+template<class ImageType>
+bool
+clitk::FindExtremaPointInAGivenDirection(const ImageType * input,
+ typename ImageType::PixelType bg,
+ int direction, bool opposite,
+ typename ImageType::PointType & point)
+{
+ typename ImageType::PointType dummy;
+ return clitk::FindExtremaPointInAGivenDirection(input, bg, direction,
+ opposite, dummy, 0, point);
+}
+//--------------------------------------------------------------------
+
+//--------------------------------------------------------------------
+template<class ImageType>
+bool
+clitk::FindExtremaPointInAGivenDirection(const ImageType * input,
+ typename ImageType::PixelType bg,
+ int direction, bool opposite,
+ typename ImageType::PointType refpoint,
+ double distanceMax,
+ typename ImageType::PointType & point)
+{
+ /*
+ loop over input pixels, store the index in the fg that is max
+ according to the given direction.
+ */
+ typedef itk::ImageRegionConstIteratorWithIndex<ImageType> IteratorType;
+ IteratorType iter(input, input->GetLargestPossibleRegion());
+ iter.GoToBegin();
+ typename ImageType::IndexType max = input->GetLargestPossibleRegion().GetIndex();
+ if (opposite) max = max+input->GetLargestPossibleRegion().GetSize();
+ bool found=false;
+ while (!iter.IsAtEnd()) {
+ if (iter.Get() != bg) {
+ bool test = iter.GetIndex()[direction] > max[direction];
+ if (opposite) test = !test;
+ if (test) {
+ typename ImageType::PointType p;
+ input->TransformIndexToPhysicalPoint(iter.GetIndex(), p);
+ if ((distanceMax==0) || (p.EuclideanDistanceTo(refpoint) < distanceMax)) {
+ max = iter.GetIndex();
+ found = true;
+ }
+ }
+ }
+ ++iter;
}
- // DD(size);
+ if (!found) return false;
+ input->TransformIndexToPhysicalPoint(max, point);
+ return true;
+}
+//--------------------------------------------------------------------
+
+
+//--------------------------------------------------------------------
+template<class ImageType>
+typename ImageType::Pointer
+clitk::CropImageAbove(typename ImageType::Pointer image,
+ int dim, double min,
+ bool autoCrop,
+ typename ImageType::PixelType BG)
+{
+ return clitk::CropImageAlongOneAxis<ImageType>(image, dim,
+ image->GetOrigin()[dim],
+ min,
+ autoCrop, BG);
+}
+//--------------------------------------------------------------------
+
+
+//--------------------------------------------------------------------
+template<class ImageType>
+typename ImageType::Pointer
+clitk::CropImageBelow(typename ImageType::Pointer image,
+ int dim, double max,
+ bool autoCrop,
+ typename ImageType::PixelType BG)
+{
+ typename ImageType::PointType p;
+ image->TransformIndexToPhysicalPoint(image->GetLargestPossibleRegion().GetIndex()+
+ image->GetLargestPossibleRegion().GetSize(), p);
+ return clitk::CropImageAlongOneAxis<ImageType>(image, dim, max, p[dim], autoCrop, BG);
+}
+//--------------------------------------------------------------------
+
+
+//--------------------------------------------------------------------
+template<class ImageType>
+typename ImageType::Pointer
+clitk::CropImageAlongOneAxis(typename ImageType::Pointer image,
+ int dim, double min, double max,
+ bool autoCrop,
+ typename ImageType::PixelType BG)
+{
+ // Compute region size
typename ImageType::RegionType region;
+ typename ImageType::SizeType size = image->GetLargestPossibleRegion().GetSize();
+ typename ImageType::PointType p = image->GetOrigin();
+ p[dim] = min;
+ typename ImageType::IndexType start;
+ image->TransformPhysicalPointToIndex(p, start);
+ p[dim] = max;
+ typename ImageType::IndexType end;
+ image->TransformPhysicalPointToIndex(p, end);
+ size[dim] = fabs(end[dim]-start[dim]);
+ region.SetIndex(start);
region.SetSize(size);
- output->SetRegions(region);
- output->SetSpacing(like->GetSpacing());
- output->SetOrigin(like->GetOrigin());
- output->Allocate();
- output->FillBuffer(backgroundValue);
- typedef itk::PasteImageFilter<ImageType,ImageType> PasteFilterType;
- typename PasteFilterType::Pointer pasteFilter = PasteFilterType::New();
- typename PasteFilterType::InputImageIndexType index;
- for(unsigned int i=0; i<ImageType::ImageDimension; i++) {
- index[i] = lrint((input->GetOrigin()[i] - like->GetOrigin()[i])/(double)input->GetSpacing()[i]);
+
+ // Perform Crop
+ typedef itk::RegionOfInterestImageFilter<ImageType, ImageType> CropFilterType;
+ typename CropFilterType::Pointer cropFilter = CropFilterType::New();
+ cropFilter->SetInput(image);
+ cropFilter->SetRegionOfInterest(region);
+ cropFilter->Update();
+ typename ImageType::Pointer result = cropFilter->GetOutput();
+
+ // Auto Crop
+ if (autoCrop) {
+ result = clitk::AutoCrop<ImageType>(result, BG);
+ }
+ return result;
+}
+//--------------------------------------------------------------------
+
+
+//--------------------------------------------------------------------
+template<class ImageType>
+void
+clitk::ComputeCentroids(typename ImageType::Pointer image,
+ typename ImageType::PixelType BG,
+ std::vector<typename ImageType::PointType> & centroids)
+{
+ typedef long LabelType;
+ static const unsigned int Dim = ImageType::ImageDimension;
+ typedef itk::ShapeLabelObject< LabelType, Dim > LabelObjectType;
+ typedef itk::LabelMap< LabelObjectType > LabelMapType;
+ typedef itk::LabelImageToLabelMapFilter<ImageType, LabelMapType> ImageToMapFilterType;
+ typename ImageToMapFilterType::Pointer imageToLabelFilter = ImageToMapFilterType::New();
+ typedef itk::ShapeLabelMapFilter<LabelMapType, ImageType> ShapeFilterType;
+ typename ShapeFilterType::Pointer statFilter = ShapeFilterType::New();
+ imageToLabelFilter->SetBackgroundValue(BG);
+ imageToLabelFilter->SetInput(image);
+ statFilter->SetInput(imageToLabelFilter->GetOutput());
+ statFilter->Update();
+ typename LabelMapType::Pointer labelMap = statFilter->GetOutput();
+
+ centroids.clear();
+ typename ImageType::PointType dummy;
+ centroids.push_back(dummy); // label 0 -> no centroid, use dummy point
+ for(uint i=1; i<labelMap->GetNumberOfLabelObjects()+1; i++) {
+ centroids.push_back(labelMap->GetLabelObject(i)->GetCentroid());
+ }
+}
+//--------------------------------------------------------------------
+
+
+//--------------------------------------------------------------------
+template<class ImageType>
+void
+clitk::ExtractSlices(typename ImageType::Pointer image,
+ int direction,
+ std::vector<typename itk::Image<typename ImageType::PixelType,
+ ImageType::ImageDimension-1>::Pointer > & slices)
+{
+ typedef clitk::ExtractSliceFilter<ImageType> ExtractSliceFilterType;
+ typedef typename ExtractSliceFilterType::SliceType SliceType;
+ typename ExtractSliceFilterType::Pointer
+ extractSliceFilter = ExtractSliceFilterType::New();
+ extractSliceFilter->SetInput(image);
+ extractSliceFilter->SetDirection(direction);
+ extractSliceFilter->Update();
+ extractSliceFilter->GetOutputSlices(slices);
+}
+//--------------------------------------------------------------------
+
+
+//--------------------------------------------------------------------
+template<class ImageType>
+typename ImageType::Pointer
+clitk::JoinSlices(std::vector<typename itk::Image<typename ImageType::PixelType,
+ ImageType::ImageDimension-1>::Pointer > & slices,
+ typename ImageType::Pointer input,
+ int direction) {
+ typedef typename itk::Image<typename ImageType::PixelType, ImageType::ImageDimension-1> SliceType;
+ typedef itk::JoinSeriesImageFilter<SliceType, ImageType> JoinSeriesFilterType;
+ typename JoinSeriesFilterType::Pointer joinFilter = JoinSeriesFilterType::New();
+ joinFilter->SetOrigin(input->GetOrigin()[direction]);
+ joinFilter->SetSpacing(input->GetSpacing()[direction]);
+ for(unsigned int i=0; i<slices.size(); i++) {
+ joinFilter->PushBackInput(slices[i]);
+ }
+ joinFilter->Update();
+ return joinFilter->GetOutput();
+}
+//--------------------------------------------------------------------
+
+
+//--------------------------------------------------------------------
+template<class ImageType>
+void
+clitk::PointsUtils<ImageType>::Convert2DTo3D(const PointType2D & p,
+ ImagePointer image,
+ const int slice,
+ PointType3D & p3D)
+{
+ p3D[0] = p[0];
+ p3D[1] = p[1];
+ p3D[2] = (image->GetLargestPossibleRegion().GetIndex()[2]+slice)*image->GetSpacing()[2]
+ + image->GetOrigin()[2];
+}
+//--------------------------------------------------------------------
+
+
+//--------------------------------------------------------------------
+template<class ImageType>
+void
+clitk::PointsUtils<ImageType>::Convert2DTo3DList(const MapPoint2DType & map,
+ ImagePointer image,
+ VectorPoint3DType & list)
+{
+ typename MapPoint2DType::const_iterator iter = map.begin();
+ while (iter != map.end()) {
+ PointType3D p;
+ Convert2DTo3D(iter->second, image, iter->first, p);
+ list.push_back(p);
+ ++iter;
+ }
+}
+//--------------------------------------------------------------------
+
+//--------------------------------------------------------------------
+template<class ImageType>
+void
+clitk::WriteListOfLandmarks(std::vector<typename ImageType::PointType> points,
+ std::string filename)
+{
+ std::ofstream os;
+ openFileForWriting(os, filename);
+ os << "LANDMARKS1" << std::endl;
+ for(uint i=0; i<points.size(); i++) {
+ const typename ImageType::PointType & p = points[i];
+ // Write it in the file
+ os << i << " " << p[0] << " " << p[1] << " " << p[2] << " 0 0 " << std::endl;
}
- // DD(index);
- pasteFilter->SetSourceImage(input);
- pasteFilter->SetDestinationImage(output);
- pasteFilter->SetDestinationIndex(index);
- pasteFilter->SetSourceRegion(input->GetLargestPossibleRegion());
- pasteFilter->Update();
- return pasteFilter->GetOutput();
+ os.close();
}
//--------------------------------------------------------------------
+
+
+//--------------------------------------------------------------------
+template<class ImageType>
+typename ImageType::Pointer
+clitk::Dilate(typename ImageType::Pointer image,
+ double radiusInMM,
+ typename ImageType::PixelType BG,
+ typename ImageType::PixelType FG,
+ bool extendSupport)
+{
+ typename ImageType::SizeType r;
+ for(uint i=0; i<ImageType::ImageDimension; i++)
+ r[i] = (uint)lrint(radiusInMM/image->GetSpacing()[i]);
+ return clitk::Dilate<ImageType>(image, r, BG, FG, extendSupport);
+}
+//--------------------------------------------------------------------
+
+
+//--------------------------------------------------------------------
+template<class ImageType>
+typename ImageType::Pointer
+clitk::Dilate(typename ImageType::Pointer image,
+ typename ImageType::PointType radiusInMM,
+ typename ImageType::PixelType BG,
+ typename ImageType::PixelType FG,
+ bool extendSupport)
+{
+ typename ImageType::SizeType r;
+ for(uint i=0; i<ImageType::ImageDimension; i++)
+ r[i] = (uint)lrint(radiusInMM[i]/image->GetSpacing()[i]);
+ return clitk::Dilate<ImageType>(image, r, BG, FG, extendSupport);
+}
+//--------------------------------------------------------------------
+
+
+//--------------------------------------------------------------------
+template<class ImageType>
+typename ImageType::Pointer
+clitk::Dilate(typename ImageType::Pointer image,
+ typename ImageType::SizeType radius,
+ typename ImageType::PixelType BG,
+ typename ImageType::PixelType FG,
+ bool extendSupport)
+{
+ // Create kernel for dilatation
+ typedef itk::BinaryBallStructuringElement<typename ImageType::PixelType,
+ ImageType::ImageDimension> KernelType;
+ KernelType structuringElement;
+ structuringElement.SetRadius(radius);
+ structuringElement.CreateStructuringElement();
+
+ if (extendSupport) {
+ typedef itk::ConstantPadImageFilter<ImageType, ImageType> PadFilterType;
+ typename PadFilterType::Pointer padFilter = PadFilterType::New();
+ padFilter->SetInput(image);
+ typename ImageType::SizeType lower;
+ typename ImageType::SizeType upper;
+ for(uint i=0; i<3; i++) {
+ lower[i] = upper[i] = 2*(radius[i]+1);
+ }
+ padFilter->SetPadLowerBound(lower);
+ padFilter->SetPadUpperBound(upper);
+ padFilter->Update();
+ image = padFilter->GetOutput();
+ }
+
+ // Dilate filter
+ typedef itk::BinaryDilateImageFilter<ImageType, ImageType , KernelType> DilateFilterType;
+ typename DilateFilterType::Pointer dilateFilter = DilateFilterType::New();
+ dilateFilter->SetBackgroundValue(BG);
+ dilateFilter->SetForegroundValue(FG);
+ dilateFilter->SetBoundaryToForeground(false);
+ dilateFilter->SetKernel(structuringElement);
+ dilateFilter->SetInput(image);
+ dilateFilter->Update();
+ return image = dilateFilter->GetOutput();
+}
+//--------------------------------------------------------------------
+
+
+//--------------------------------------------------------------------
+template<class ValueType, class VectorType>
+void clitk::ConvertOption(std::string optionName, uint given,
+ ValueType * values, VectorType & p,
+ uint dim, bool required)
+{
+ if (required && (given == 0)) {
+ clitkExceptionMacro("The option --" << optionName << " must be set and have 1 or "
+ << dim << " values.");
+ }
+ if (given == 1) {
+ for(uint i=0; i<dim; i++) p[i] = values[0];
+ return;
+ }
+ if (given == dim) {
+ for(uint i=0; i<dim; i++) p[i] = values[i];
+ return;
+ }
+ if (given == 0) return;
+ clitkExceptionMacro("The option --" << optionName << " must have 1 or "
+ << dim << " values.");
+}
+//--------------------------------------------------------------------
+
+
+//--------------------------------------------------------------------
+/*
+ http://www.gamedev.net/community/forums/topic.asp?topic_id=542870
+ Assuming the points are (Ax,Ay) (Bx,By) and (Cx,Cy), you need to compute:
+ (Bx - Ax) * (Cy - Ay) - (By - Ay) * (Cx - Ax)
+ This will equal zero if the point C is on the line formed by
+ points A and B, and will have a different sign depending on the
+ side. Which side this is depends on the orientation of your (x,y)
+ coordinates, but you can plug test values for A,B and C into this
+ formula to determine whether negative values are to the left or to
+ the right.
+ => to accelerate, start with formula, when change sign -> stop and fill
+*/
+template<class ImageType>
+void
+clitk::SliceBySliceSetBackgroundFromLineSeparation(typename ImageType::Pointer input,
+ std::vector<typename ImageType::PointType> & lA,
+ std::vector<typename ImageType::PointType> & lB,
+ typename ImageType::PixelType BG,
+ int mainDirection,
+ double offsetToKeep)
+{
+
+ typedef itk::ImageSliceIteratorWithIndex<ImageType> SliceIteratorType;
+ SliceIteratorType siter = SliceIteratorType(input,
+ input->GetLargestPossibleRegion());
+ siter.SetFirstDirection(0);
+ siter.SetSecondDirection(1);
+ siter.GoToBegin();
+ uint i=0;
+ typename ImageType::PointType A;
+ typename ImageType::PointType B;
+ typename ImageType::PointType C;
+ assert(lA.size() == B.size());
+ // DD(lA.size());
+ //DD(input->GetLargestPossibleRegion().GetSize());
+ while ((i<lA.size()) && (!siter.IsAtEnd())) {
+ // Check that the current slice correspond to the current point
+ input->TransformIndexToPhysicalPoint(siter.GetIndex(), C);
+ if (C[2] != lA[i][2]) {
+ // DD(C);
+ // DD(lA[i]);
+ }
+ else {
+ // Define A,B,C points
+ A = lA[i];
+ B = lB[i];
+ C = A;
+ C[mainDirection] += offsetToKeep; // I know I must keep this point
+ double s = (B[0] - A[0]) * (C[1] - A[1]) - (B[1] - A[1]) * (C[0] - A[0]);
+ bool isPositive = s<0;
+ while (!siter.IsAtEndOfSlice()) {
+ while (!siter.IsAtEndOfLine()) {
+ // Very slow, I know ... but image should be very small
+ input->TransformIndexToPhysicalPoint(siter.GetIndex(), C);
+ double s = (B[0] - A[0]) * (C[1] - A[1]) - (B[1] - A[1]) * (C[0] - A[0]);
+ if (s == 0) siter.Set(BG); // on the line, we decide to remove
+ if (isPositive) {
+ if (s > 0) siter.Set(BG);
+ }
+ else {
+ if (s < 0) siter.Set(BG);
+ }
+ ++siter;
+ }
+ siter.NextLine();
+ }
+ ++i;
+ }
+ siter.NextSlice();
+ }
+}
+//--------------------------------------------------------------------
git://git.creatis.insa-lyon.fr / clitk.git / blobdiff