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boundarytensor.cxx |

Measure boundary and corner strengths with the boundaryTensor(): boundarytensor.cxx
Usage: `boundarytensor infile`, creates `boundarystrength.tif` and `cornerstrength.tif`

    /************************************************************************/
    /*                                                                      */
    /*               Copyright 1998-2004 by Ullrich Koethe                  */
    /*                                                                      */
    /*    This file is part of the VIGRA computer vision library.           */
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    /*        vigra@informatik.uni-hamburg.de                               */
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    #include <iostream>
    #include <functional>
    #include "vigra/stdimage.hxx"
    #include "vigra/combineimages.hxx"
    #include "vigra/tensorutilities.hxx"
    #include "vigra/boundarytensor.hxx"
    #include "vigra/impex.hxx"

    using namespace vigra;

    int main(int argc, char ** argv)
    {
        if(argc != 2)
        {
            std::cout << "Usage: " << argv[0] << " infile" << std::endl;
            std::cout << "(supported formats: " << impexListFormats() << ")" << std::endl;
            std::cout << "creates: boundarystrength.tif, cornerstrength.tif" << std::endl;

            return 1;
        }

        try
        {
            ImageImportInfo info(argv[1]);
            int w = info.width(), h = info.height();
            // create image of appropriate size for boundary tensor
            FVector3Image boundarytensor(w, h);

            // input scale of the bandpass to be used
            double scale;
            std::cout << "Operator scale ? ";
            std::cin >> scale;

            if(info.isGrayscale())
            {
                FImage in(w, h);
                importImage(info, destImage(in));

                boundaryTensor(srcImageRange(in), destImage(boundarytensor), scale);
            }
            else if(info.isColor())
            {
                FRGBImage in(w, h);
                importImage(info, destImage(in));

                // calculate the boundary tensor for every channel and add the results
                FVector3Image bandtensor(w, h);
                for(int b=0; b<3; ++b)
                {
                    VectorElementAccessor<FRGBImage::Accessor> band(b);
                    boundaryTensor(srcImageRange(in, band), destImage(bandtensor), scale);
                    combineTwoImages(srcImageRange(boundarytensor), srcImage(bandtensor),
                                     destImage(boundarytensor),
                                     std::plus<FVector3Image::value_type>());
                }
            }
            else
            {
                std::cerr << "Sorry, can only operate on gray and color images.\n";
                return 1;
            }

            FImage boundarystrength(w, h), cornerness(w, h);
            FVector2Image edgeness(w,h);

            tensorTrace(srcImageRange(boundarytensor), destImage(boundarystrength));
            tensorToEdgeCorner(srcImageRange(boundarytensor), destImage(edgeness), destImage(cornerness));

            exportImage(srcImageRange(boundarystrength), ImageExportInfo("boundarystrength.tif").setPixelType("UINT8"));
            exportImage(srcImageRange(cornerness), ImageExportInfo("cornerstrength.tif").setPixelType("UINT8"));
        }
        catch (std::exception & e)
        {
            std::cout << e.what() << std::endl;
            return 1;
        }

        return 0;
    }

© Ullrich Köthe (ullrich.koethe@iwr.uni-heidelberg.de) Heidelberg Collaboratory for Image Processing, University of Heidelberg, Germany | html generated using doxygen and Python vigra 1.9.0 (Tue Nov 6 2012)