%GAUSSIANBLUR  Smoothes an image using a Gaussian filter
%
%    dst = cv.GaussianBlur(src)
%    dst = cv.GaussianBlur(src, 'KSize', [5,5], ...)
%
% The function convolves the source image with the specified Gaussian kernel.
%
% ## Input
% * __src__ Source image.
%
% ## Output
% * __dst__ Destination image of the same size and type as src.
%
% ## Options
% * __KSize__ Gaussian kernel size. ksize.width and ksize.height can differ
%         but they both must be positive and odd. Or, they can be zeros.
%              and then they are computed from sigma*. default [5,5]
% * __SigmaX__ Gaussian kernel standard deviation in X direction. default 0
% * __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. See getGaussianKernel() for details. To fully
%         control the result regardless of possible future modifications
%         of all this semantics, it is recommended to specify all of
%         ksize, sigmaX, and sigmaY. default 0
% * __BorderType__ Pixel extrapolation method. default 'Default'
%