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📄 gsderiv.m

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function [varargout] = gsderiv(u, sigma, order, varargin)
%
% GSDERIV   Calculates the derivate of the gaussian smoothed image.
%
%    [out] = GSDERIV( u, sigma, order) calculates the "order"-th derivates of 
%    image u. Prior to derivating the image "u" is smoothed by a sigma 
%    standard deviation 2D gaussian.
%
%    The number of outputs depends on the "order". For "order"=0 there is only one
%    output corresponding to the smoothed input. For "order"=1 there are two outputs,
%    respectivelly the x and y derivates. For "order"=2 there are three outputs,
%    corresponding respectivelly to the 2

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