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// 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.
// borderType -> border mode used to extrapolate pixels outside of the
// image. It 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
// 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
//
// 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
// This is curretly dummy function. It provides no functionality but is required
// for providing support for generating C code for OpenCV
endfunction
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