opencv/modules/imgproc/src/gabor.cpp

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#include "precomp.hpp"

/*
 Gabor filters and such. To be greatly extended to have full texture analysis.
 For the formulas and the explanation of the parameters see:
 http://en.wikipedia.org/wiki/Gabor_filter
*/

cv::Mat cv::getGaborKernel( Size ksize, double sigma, double theta,
                            double lambd, double gamma, double psi, int ktype )
{
    double sigma_x = sigma;
    double sigma_y = sigma/gamma;
    int nstds = 3;
    int xmin, xmax, ymin, ymax;
    double c = cos(theta), s = sin(theta);
    
    if( ksize.width > 0 )
        xmax = ksize.width/2;
    else
        xmax = (int)std::max(fabs(nstds*sigma_x*c), fabs(nstds*sigma_y*s));
    
    if( ksize.height > 0 )
        ymax = ksize.height/2;
    else
        ymax = (int)std::max(fabs(nstds*sigma_x*s), fabs(nstds*sigma_y*c));
        
    xmin = -xmax;
    ymin = -ymax;
    
    CV_Assert( ktype == CV_32F || ktype == CV_64F );
    
    Mat kernel(ymax - ymin + 1, xmax - xmin + 1, ktype);
    double scale = 1/(2*CV_PI*sigma_x*sigma_y);
    double ex = -0.5/(sigma_x*sigma_x);
    double ey = -0.5/(sigma_y*sigma_y);
    double cscale = CV_PI*2/lambd;
    
    for( int y = ymin; y <= ymax; y++ )
        for( int x = xmin; x <= xmax; x++ )
        {
            double xr = x*c + y*s;
            double yr = -x*s + y*c;
            
            double v = scale*exp(ex*xr*xr + ey*yr*yr)*cos(cscale*xr + psi);
            if( ktype == CV_32F )
                kernel.at<float>(ymax - y, xmax - x) = (float)v;
            else
                kernel.at<double>(ymax - y, xmax - x) = v;
        }
    
    return kernel;
}


/* End of file. */