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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 cvtimg = CV_GaussianBlur(srcimg,ksize_width,ksize_height,sigma_x,sigma_y, ...
border_type)
// function to blur image using gaussian filter
//
// Calling Sequence
// dst = CV_Blur(srcimg,ksize_width,ksize_height,anchor_x,anchor_y, ...
// border_type)
//
// Parameters
// srcimg -> Source image.
// ksize_width, ksize_height -> blurring kernel size. must be odd.
// sigmaX -> Gaussian kernel standard deviation in X direction.
// sigmaY -> Gaussian kernel standard deviation in Y direction;
// if sigmaY is zero, it is set to be equal to sigmaX,
// if both sigmas are zeros, they are computed from
// ksize.width and ksize.height , respectively
// borderType -> border mode used to extrapolate pixels outside of the
// image. 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
// This function can be used for blurring image using gaussian
// filter. Image can be of any depth and have any no of channels.
// Examples
// img = CV_LoadImage('~/test.jpg',0)
// dst = CV_GaussianBlur(img,3,3,0,0,"BORDER_CONSTANT")
//
// See also
// CV_LoadImage CV_Blur, CV_CvtColor
//
// Authors
// Siddhesh Wani
//
cvtimg = 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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