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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 gaussian</title> <meta name="keywords" content="gaussian"> <meta name="description" content="gaussian - returns a 1d Gaussian kernel."> <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> > gaussian.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>gaussian</h1><h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong>gaussian - returns a 1d Gaussian kernel.</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 kernel = gaussian(peak,sigma,maxhw,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"> gaussian - returns a 1d Gaussian kernel. kernel = gaussian(peak,sigma,maxhw) Returns a 1d Gaussian kernel with peak as the value at the maximum and sigma as the standard deviation (in pixels). The half width (hw) of the kernel is determined by where the Gaussian drops off to 1 % of the peak value, but is bounded by maxhw (set to 0 for no bounding). The kernel will be of length: 2 * hw + 1. kernel = gaussian(peak,sigma,maxhw, treshPercent) Use threshPercent (in % of peak value) instead of 1 % to determine the half width.</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)"></ul>This function is called by:<ul style="list-style-image:url(../matlabicon.gif)"><li><a href="estimateShape.html" class="code" title="function shapeData = estimateShape(salmap,saliencyData,winner,params)">estimateShape</a> estimateShape - estimates the shape of the attended proto-object region.</li><li><a href="maxNormalizeIterative.html" class="code" title="function result = maxNormalizeIterative(data,numIter,varargin)">maxNormalizeIterative</a> maxNormalizeIterative - normalize data with the an iterative algorithm.</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">% gaussian - returns a 1d Gaussian kernel.</span>0002 <span class="comment">%</span>0003 <span class="comment">% kernel = gaussian(peak,sigma,maxhw)</span>0004 <span class="comment">% Returns a 1d Gaussian kernel with peak as the value</span>0005 <span class="comment">% at the maximum and sigma as the standard deviation (in pixels).</span>0006 <span class="comment">% The half width (hw) of the kernel is determined by where the</span>0007 <span class="comment">% Gaussian drops off to 1 % of the peak value, but</span>0008 <span class="comment">% is bounded by maxhw (set to 0 for no bounding).</span>0009 <span class="comment">% The kernel will be of length: 2 * hw + 1.</span>0010 <span class="comment">%</span>0011 <span class="comment">% kernel = gaussian(peak,sigma,maxhw, treshPercent)</span>0012 <span class="comment">% Use threshPercent (in % of peak value) instead of 1 %</span>0013 <span class="comment">% to determine the half width.</span>0014 0015 <span class="comment">% This file is part of the SaliencyToolbox - Copyright (C) 2006-2007</span>0016 <span class="comment">% by Dirk B. Walther and the California Institute of Technology.</span>0017 <span class="comment">% See the enclosed LICENSE.TXT document for the license agreement.</span>0018 <span class="comment">% More information about this project is available at:</span>0019 <span class="comment">% http://www.saliencytoolbox.net</span>0020 0021 <a name="_sub0" href="#_subfunctions" class="code">function kernel = gaussian(peak,sigma,maxhw,varargin)</a>0022 0023 <span class="keyword">if</span> isempty(varargin)0024 threshPercent = 1;0025 <span class="keyword">else</span>0026 threshPercent = varargin{1};0027 <span class="keyword">end</span>0028 0029 hw = floor(sigma * sqrt(-2 * log(threshPercent / 100)));0030 0031 <span class="comment">% cut the half width off if it is too large</span>0032 <span class="keyword">if</span> ((maxhw > 0) & (hw > maxhw)) 0033 hw = maxhw; 0034 <span class="keyword">end</span>0035 0036 <span class="comment">% get the right peak value (if peak = 0, normalize area to 1)</span>0037 <span class="keyword">if</span> (peak == 0) 0038 peak = 1 / (sigma * sqrt(2*pi)); 0039 <span class="keyword">end</span>0040 0041 <span class="comment">% build the kernel</span>0042 sig22 = -0.5 / (sigma * sigma);0043 tmp = peak * exp(- [1:hw].^2 / (2*sigma*sigma));0044 kernel = [tmp(hw:-1:1) peak tmp];</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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