Label Contours of Connect Components#
Synopsis#
Label the contours of connected components.
Results#
Generated Output.
Code#
C++#
#include "itkImage.h"
#include "itkImageFileReader.h"
#include "itkLabelContourImageFilter.h"
#include "itkConnectedComponentImageFilter.h"
#include "itkScalarToRGBColormapImageFilter.h"
#include "itksys/SystemTools.hxx"
#include <sstream>
#ifdef ENABLE_QUICKVIEW
# include "QuickView.h"
#endif
namespace
{
using PixelType = unsigned char;
using RGBPixelType = itk::RGBPixel<unsigned char>;
using ImageType = itk::Image<PixelType, 2>;
using RGBImageType = itk::Image<RGBPixelType, 2>;
} // namespace
static void
CreateImage(ImageType::Pointer image);
int
main(int argc, char * argv[])
{
// Create or read an image
ImageType::Pointer image;
if (argc < 2)
{
image = ImageType::New();
CreateImage(image.GetPointer());
}
else
{
image = itk::ReadImage<ImageType>(argv[1]);
}
// Generate connected components
using ConnectedComponentImageFilterType = itk::ConnectedComponentImageFilter<ImageType, ImageType>;
auto connectedComponentImageFilter = ConnectedComponentImageFilterType::New();
connectedComponentImageFilter->SetInput(image);
// Generate contours for each component
using LabelContourImageFilterType = itk::LabelContourImageFilter<ImageType, ImageType>;
auto labelContourImageFilter = LabelContourImageFilterType::New();
labelContourImageFilter->SetInput(connectedComponentImageFilter->GetOutput());
using RGBFilterType = itk::ScalarToRGBColormapImageFilter<ImageType, RGBImageType>;
auto rgbFilter = RGBFilterType::New();
rgbFilter->SetInput(labelContourImageFilter->GetOutput());
rgbFilter->SetColormap(itk::ScalarToRGBColormapImageFilterEnums::RGBColormapFilter::Jet);
#ifdef ENABLE_QUICKVIEW
QuickView viewer;
viewer.AddImage(
image.GetPointer(), true, argc > 1 ? itksys::SystemTools::GetFilenameName(argv[1]) : "Generated image");
std::stringstream desc;
desc << "LabelContourImageFilter";
viewer.AddRGBImage(rgbFilter->GetOutput(), true, desc.str());
viewer.Visualize();
#endif
return EXIT_SUCCESS;
}
void
CreateImage(ImageType::Pointer image)
{
// Create an image with 2 connected components
ImageType::RegionType region;
ImageType::IndexType start;
start[0] = 0;
start[1] = 0;
ImageType::SizeType size;
unsigned int NumRows = 200;
unsigned int NumCols = 300;
size[0] = NumRows;
size[1] = NumCols;
region.SetSize(size);
region.SetIndex(start);
image->SetRegions(region);
image->Allocate();
// Make a square
for (unsigned int r = 20; r < 80; ++r)
{
for (unsigned int c = 30; c < 100; ++c)
{
ImageType::IndexType pixelIndex;
pixelIndex[0] = r;
pixelIndex[1] = c;
image->SetPixel(pixelIndex, 255);
}
}
// Make another square
for (unsigned int r = 100; r < 130; ++r)
{
for (unsigned int c = 115; c < 160; ++c)
{
ImageType::IndexType pixelIndex;
pixelIndex[0] = r;
pixelIndex[1] = c;
image->SetPixel(pixelIndex, 255);
}
}
}
Classes demonstrated#
-
template<typename TInputImage, typename TOutputImage>
class LabelContourImageFilter : public itk::InPlaceImageFilter<TInputImage, TOutputImage>, protected itk::ScanlineFilterCommon<TInputImage, TOutputImage> Labels the pixels on the border of the objects in a labeled image.
LabelContourImageFilter takes a labeled image as input, where the pixels in the objects are the pixels with a value different of the BackgroundValue. Only the pixels on the contours of the objects are kept. The pixels not on the border are changed to BackgroundValue. The labels of the object are the same in the input and in the output image.
The connectivity can be changed to minimum or maximum connectivity with SetFullyConnected(). Full connectivity produces thicker contours.
https://www.insight-journal.org/browse/publication/217
- Author
Gaetan Lehmann. Biologie du Developpement et de la Reproduction, INRA de Jouy-en-Josas, France.
- See
BinaryContourImageFilter
- ITK Sphinx Examples: