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1 % NONMAXSUP - Non-maximal Suppression
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2 %
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3 % Usage: cim = nonmaxsup(im, radius)
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4 %
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5 % Arguments:
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6 % im - image to be processed.
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7 % radius - radius of region considered in non-maximal
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8 % suppression (optional). Typical values to use might
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9 % be 1-3. Default is 1.
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10 %
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11 % Returns:
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12 % cim - image with pixels that are not maximal within a
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13 % square neighborhood zeroed out.
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14
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15 % Copyright (C) 2002 Mark A. Paskin
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16 %
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17 % This program is free software; you can redistribute it and/or modify
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18 % it under the terms of the GNU General Public License as published by
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19 % the Free Software Foundation; either version 2 of the License, or
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20 % (at your option) any later version.
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21 %
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22 % This program is distributed in the hope that it will be useful, but
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23 % WITHOUT ANY WARRANTY; without even the implied warranty of
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24 % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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25 % General Public License for more details.
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26 %
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27 % You should have received a copy of the GNU General Public License
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28 % along with this program; if not, write to the Free Software
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29 % Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307
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30 % USA.
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31 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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32
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33 function cim = nonmaxsup(m, radius)
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34 if (nargin == 1) radius = 1; end
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35 % Extract local maxima by performing a grey scale morphological
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36 % dilation and then finding points in the corner strength image that
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37 % match the dilated image and are also greater than the threshold.
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38 sze = 2 * radius + 1; % Size of mask.
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39 mx = ordfilt2(m, sze^2, ones(sze)); % Grey-scale dilate.
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40 cim = sparse(m .* (m == mx));
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41
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42
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