// 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