// Copyright (C) 2016 - IIT Bombay - FOSSEE // // This file must be used under the terms of the CeCILL. // This source file is licensed as described in the file COPYING, which // you should have received as part of this distribution. The terms // are also available at // http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt // Organization: FOSSEE, IIT Bombay // Email: toolbox@scilab.in function edges = CV_CornerHarris(srcimg,blocksize,ksize,k,border_type) //Finds edges in image using Harris algorithm // // Calling Sequence // edges = CV_CornerHarris(srcimg,blocksize,ksize,k,border_type) // // Parameters // srcimg: Input single-channel 8-bit or floating-point image. // blockSize: Neighborhood size // ksize: Aperture parameter for the Sobel() operator. // k: Harris detector free parameter. // border_type: border mode used to extrapolate pixels outside of the image. // // Description // The function runs the Harris edge detector on the image. For each pixel (x, y) it calculates a 2 * 2 gradient covariance matrix M(x,y) over a blockSize * blockSize neighborhood. Then, it computes the following characteristic: dst(x,y) = det(M(x,y)) - k .tr(M(x,y))^2. Corners in the image can be found as the local maxima of this response map. // // border_type can be : // // BORDER_REPLICATE: aaaaaa|abcdefgh|hhhhhhh // BORDER_REFLECT: fedcba|abcdefgh|hgfedcb // BORDER_REFLECT_101: gfedcb|abcdefgh|gfedcba // BORDER_WRAP: cdefgh|abcdefgh|abcdefg // BORDER_CONSTANT: iiiiii|abcdefgh|iiiiiii // // // This is curretly dummy function. It provides no functionality but is required // for providing support for generating C code for OpenCV // // Examples // img = CV_LoadImage('~/test.jpg',0) // dst = CV_CvtColor(img,"CV_RGB2GRAY"); // edge = CV_CornerHarris(dst,5,3,1,"BORDER_REPLICATE"); // See also // CV_LoadImage CV_CvtColor // // Authors // Siddhesh Wani // edges = 0 endfunction