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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/REC-html40/loose.dtd"><html><head> <title>Description of maxNormalizeLocalMax</title> <meta name="keywords" content="maxNormalizeLocalMax"> <meta name="description" content="maxNormalizeLocalMax - normalization based on local maxima."> <meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1"> <meta name="generator" content="m2html © 2003 Guillaume Flandin"> <meta name="robots" content="index, follow"> <link type="text/css" rel="stylesheet" href="../m2html.css"></head><body><a name="_top"></a><div><a href="../index.html">Home</a> > <a href="#">mfiles</a> > maxNormalizeLocalMax.m</div><!--<table width="100%"><tr><td align="left"><a href="../index.html"><img alt="<" border="0" src="../left.png"> Master index</a></td><td align="right"><a href="index.html">Index for .\mfiles <img alt=">" border="0" src="../right.png"></a></td></tr></table>--><h1>maxNormalizeLocalMax</h1><h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong>maxNormalizeLocalMax - normalization based on local maxima.</strong></div><h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong>function result = maxNormalizeLocalMax(data,varargin) </strong></div><h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="fragment"><pre class="comment"> maxNormalizeLocalMax - normalization based on local maxima. result = maxNormalizeLocalMax(data) Normalize data by multiplying it with (max(data) - avg(localMaxima))^2 as described in: L. Itti, C. Koch, E. Niebur, A Model of Saliency-Based Visual Attention for Rapid Scene Analysis, IEEE PAMI, Vol. 20, No. 11, pp. 1254-1259, Nov 1998. result = maxNormalizeLocalMax(data,minmax) Specify a dynamic range for the initial maximum normalization of the input data (default: [0 10]). The special value minmax = [0 0] means that initial maximum normalization is omitted. See also <a href="maxNormalize.html" class="code" title="function result = maxNormalize(maps,params,varargin)">maxNormalize</a>, <a href="maxNormalizeIterative.html" class="code" title="function result = maxNormalizeIterative(data,numIter,varargin)">maxNormalizeIterative</a>, <a href="makeSaliencyMap.html" class="code" title="function [salmap, saliencyData] = makeSaliencyMap(img, salParams, varargin)">makeSaliencyMap</a>.</pre></div><!-- crossreference --><h2><a name="_cross"></a>CROSS-REFERENCE INFORMATION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>This function calls:<ul style="list-style-image:url(../matlabicon.gif)"><li><a href="clamp.html" class="code" title="function data = clamp(data,bottom,varargin)">clamp</a> clamp - clamps data at the top and/or bottom.</li><li><a href="fatal.html" class="code" title="function fatal(message)">fatal</a> fatal(message) - exits with a fatal error message.</li><li><a href="mexLocalMaxima.html" class="code" title="function [lm_avg,lm_num,lm_sum] = mexLocalMaxima(data,thresh)">mexLocalMaxima</a> mexLocalMaxima - returns statistics over local maxima (mex file).</li><li><a href="normalizeImage.html" class="code" title="function res = normalizeImage(img,varargin)">normalizeImage</a> normalizeImage - linearly normalize an array.</li></ul>This function is called by:<ul style="list-style-image:url(../matlabicon.gif)"><li><a href="maxNormalize.html" class="code" title="function result = maxNormalize(maps,params,varargin)">maxNormalize</a> maxNormalize - normalizes a set of maps according to params.</li></ul><!-- crossreference --><h2><a name="_source"></a>SOURCE CODE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="fragment"><pre>0001 <span class="comment">% maxNormalizeLocalMax - normalization based on local maxima.</span>0002 <span class="comment">%</span>0003 <span class="comment">% result = maxNormalizeLocalMax(data)</span>0004 <span class="comment">% Normalize data by multiplying it with</span>0005 <span class="comment">% (max(data) - avg(localMaxima))^2 as described in:</span>0006 <span class="comment">% L. Itti, C. Koch, E. Niebur, A Model of Saliency-Based</span>0007 <span class="comment">% Visual Attention for Rapid Scene Analysis, IEEE PAMI,</span>0008 <span class="comment">% Vol. 20, No. 11, pp. 1254-1259, Nov 1998.</span>0009 <span class="comment">%</span>0010 <span class="comment">% result = maxNormalizeLocalMax(data,minmax)</span>0011 <span class="comment">% Specify a dynamic range for the initial maximum</span>0012 <span class="comment">% normalization of the input data (default: [0 10]).</span>0013 <span class="comment">% The special value minmax = [0 0] means that initial</span>0014 <span class="comment">% maximum normalization is omitted.</span>0015 <span class="comment">%</span>0016 <span class="comment">% See also maxNormalize, maxNormalizeIterative, makeSaliencyMap.</span>0017 0018 <span class="comment">% This file is part of the SaliencyToolbox - Copyright (C) 2006-2007</span>0019 <span class="comment">% by Dirk B. Walther and the California Institute of Technology.</span>0020 <span class="comment">% See the enclosed LICENSE.TXT document for the license agreement.</span>0021 <span class="comment">% More information about this project is available at:</span>0022 <span class="comment">% http://www.saliencytoolbox.net</span>0023 0024 <a name="_sub0" href="#_subfunctions" class="code">function result = maxNormalizeLocalMax(data,varargin)</a>0025 0026 <span class="keyword">if</span> (length(varargin) >= 1) minmax = varargin{1}; 0027 <span class="keyword">else</span> minmax = [0 10]; <span class="keyword">end</span>0028 0029 data = <a href="normalizeImage.html" class="code" title="function res = normalizeImage(img,varargin)">normalizeImage</a>(<a href="clamp.html" class="code" title="function data = clamp(data,bottom,varargin)">clamp</a>(data,0),minmax);0030 thresh = minmax(1) + (minmax(2) - minmax(1)) / 10;0031 0032 [lm_avg,lm_num,lm_sum] = <a href="mexLocalMaxima.html" class="code" title="function [lm_avg,lm_num,lm_sum] = mexLocalMaxima(data,thresh)">mexLocalMaxima</a>(data,thresh);0033 0034 <span class="keyword">if</span> (lm_num > 1)0035 result = data * (minmax(2) - lm_avg)^2;0036 <span class="keyword">elseif</span> (lm_num == 1)0037 result = data * minmax(2)^2;0038 <span class="keyword">else</span>0039 <a href="fatal.html" class="code" title="function fatal(message)">fatal</a>(<span class="string">'Could not find any local maxima.'</span>);0040 <span class="keyword">end</span></pre></div><hr><address>Generated on Fri 07-Sep-2007 14:42:18 by <strong><a href="http://www.artefact.tk/software/matlab/m2html/">m2html</a></strong> © 2003</address></body></html>⌨️ 快捷键说明
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