CV_CornerHarris Finds edges in image using Harris algorithm edges = CV_CornerHarris(srcimg,blocksize,ksize,k,border_type) 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. 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 CV_CvtColor Siddhesh Wani