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📄 gsdplot.m

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function [varargout] = gsdplot(u, sigma, order, varargin)
%
% GSDPLOT    Plots the gaussian smoothed derivates.
%
%    GSDPLOT( u, sigma, order ) plots the "order"-th smoothed derivates of
%    the image "u". The smoothing is performed prior to the derivation by a 2D
%    convolution with a "sigma" std.dev. gaussian. "u" must have two dimensions.
%
%    If used with left arguments, GSDPLOT returns the same output as GSDERIV.
%    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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