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% NONMAXSUP - Non-maximal Suppression
%
% Usage: cim = nonmaxsup(im, radius)
%
% Arguments:
% im - image to be processed.
% radius - radius of region considered in non-maximal
% suppression (optional). Typical values to use might
% be 1-3. Default is 1.
%
% Returns:
% cim - image with pixels that are not maximal within a
% square neighborhood zeroed out.
% Copyright (C) 2002 Mark A. Paskin
%
% This program is free software; you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation; either version 2 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful, but
% WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
% General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program; if not, write to the Free Software
% Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307
% USA.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function cim = nonmaxsup(m, radius)
if (nargin == 1) radius = 1; end
% Extract local maxima by performing a grey scale morphological
% dilation and then finding points in the corner strength image that
% match the dilated image and are also greater than the threshold.
sze = 2 * radius + 1; % Size of mask.
mx = ordfilt2(m, sze^2, ones(sze)); % Grey-scale dilate.
cim = sparse(m .* (m == mx));
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