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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_Canny(srcimg,threhold1,threshold2,aperture_size,L2gradient)
//Finds edges in image using Canny algorithm
//
// Calling Sequence
// edges = CV_Canny(srcimg,threhold1,threshold2,aperture_size,L2gradient)
//
// Parameters
// srcimg -> single-channel 8-bit input image.
// threshold1 -> first threshold for the hysteresis procedure.
// threshold2 -> second threshold for the hysteresis procedure.
// aperture_size -> aperture size for the Sobel() operator.
// L2gradient -> a flag, indicating whether a more accurate
// L_2 norm =sqrt{(dI/dx)^2 + (dI/dy)^2} should be used to
// calculate the image gradient magnitude ( L2gradient=1 ),
// or whether the default L_1 norm =|dI/dx|+|dI/dy| is enough
// ( L2gradient=0).
// Description
// This function can be used for finding edes in single channel 8 bit
// image. 'aperture_size' and 'L2gradient' are optionals. By default,
// aperture_size is 3 and L2gradient is false.
//
// Examples
// img = CV_LoadImage('~/test.jpg',0)
// dst = CV_CvtColor(img,"CV_RGB2GRAY");
// edge = CV_Canny(dst,50,100,3,0);
//
// 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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