- typedef itk::Image<uchar, InputImageType::ImageDimension> OutputImageType;
-
- // Filter
- typedef itk::BinaryThresholdImageFilter<InputImageType, OutputImageType> BinaryThresholdImageFilterType;
- typename BinaryThresholdImageFilterType::Pointer thresholdFilter=BinaryThresholdImageFilterType::New();
- thresholdFilter->SetInput(input);
- thresholdFilter->SetInsideValue(mArgsInfo.fg_arg);
-
- if (mArgsInfo.lower_given) thresholdFilter->SetLowerThreshold(static_cast<PixelType>(mArgsInfo.lower_arg));
- if (mArgsInfo.upper_given) thresholdFilter->SetUpperThreshold(static_cast<PixelType>(mArgsInfo.upper_arg));
-
- /* Three modes :
- - FG -> only use FG value for pixel in the Foreground (or Inside), keep input values for outside
- - BG -> only use BG value for pixel in the Background (or Outside), keep input values for inside
- - both -> use FG and BG (real binary image)
- */
- if (mArgsInfo.mode_arg == std::string("both")) {
- thresholdFilter->SetOutsideValue(mArgsInfo.bg_arg);
- thresholdFilter->Update();
- typename OutputImageType::Pointer outputImage = thresholdFilter->GetOutput();
- this->template SetNextOutput<OutputImageType>(outputImage);
- } else {
- typename InputImageType::Pointer outputImage;
- thresholdFilter->SetOutsideValue(0);
- if (mArgsInfo.mode_arg == std::string("BG")) {
- typedef itk::MaskImageFilter<InputImageType,OutputImageType> maskFilterType;
- typename maskFilterType::Pointer maskFilter = maskFilterType::New();
- maskFilter->SetInput1(input);
- maskFilter->SetInput2(thresholdFilter->GetOutput());
- maskFilter->SetOutsideValue(mArgsInfo.bg_arg);
- maskFilter->Update();
- outputImage = maskFilter->GetOutput();
- } else {
- typedef itk::MaskNegatedImageFilter<InputImageType,OutputImageType> maskFilterType;
- typename maskFilterType::Pointer maskFilter = maskFilterType::New();
- maskFilter->SetInput1(input);
- maskFilter->SetInput2(thresholdFilter->GetOutput());
- maskFilter->SetOutsideValue(mArgsInfo.fg_arg);
- maskFilter->Update();
- outputImage = maskFilter->GetOutput();
+ typedef typename InputImageType::IndexType IndexType;
+
+ mArrayX = vtkSmartPointer<vtkFloatArray>::New();
+ mArrayY = vtkSmartPointer<vtkFloatArray>::New();
+ mCoord = vtkSmartPointer<vtkFloatArray>::New();
+ mCoord->SetNumberOfComponents(InputImageType::ImageDimension);
+
+ /*typename InputImageType::Pointer outputImage;
+ outputImage = InputImageType::New();
+
+ outputImage->SetRegions(input->GetLargestPossibleRegion());
+ outputImage->Allocate();
+ outputImage->FillBuffer(0); */
+
+ //Iterator
+ IndexType pointBegin, pointEnd;
+
+ for (int i = 0; i < mArgsInfo.point1_given; ++i) {
+ pointBegin[i] = mArgsInfo.point1_arg[i];
+ pointEnd[i] = mArgsInfo.point2_arg[i];
+ }
+
+ itk::LineConstIterator<InputImageType> itProfile(input, pointBegin, pointEnd);
+ itProfile.GoToBegin();
+ int lineNumber(1);
+ double *tuple;
+ double distance;
+ tuple = new double[InputImageType::ImageDimension];
+ itk::Point<double, InputImageType::ImageDimension> transformedFirstPoint;
+ itk::Point<double, InputImageType::ImageDimension> transformedCurrentPoint;
+
+ input->TransformIndexToPhysicalPoint(itProfile.GetIndex(), transformedFirstPoint);
+
+ while (!itProfile.IsAtEnd())
+ {
+ // Fill in the table the intensity value
+ mArrayY->InsertNextTuple1(itProfile.Get());
+
+ for (int i=0; i<InputImageType::ImageDimension; ++i) {
+ tuple[i] = itProfile.GetIndex()[i];