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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 hueDistance</title>  <meta name="keywords" content="hueDistance">  <meta name="description" content="hueDistance - computes the distance in a simplified 2d color space.">  <meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">  <meta name="generator" content="m2html &copy; 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> &gt;  <a href="#">mfiles</a> &gt; hueDistance.m</div><!--<table width="100%"><tr><td align="left"><a href="../index.html"><img alt="<" border="0" src="../left.png">&nbsp;Master index</a></td><td align="right"><a href="index.html">Index for .\mfiles&nbsp;<img alt=">" border="0" src="../right.png"></a></td></tr></table>--><h1>hueDistance</h1><h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong>hueDistance - computes the distance in a simplified 2d color space.</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 = hueDistance(col_img,hueParams) </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"> hueDistance - computes the distance in a simplified 2d color space. result = hueDistance(col_img,hueParams)    Computes the distance of each pixel of the    RGB image col_img in a 2d color space (akin to CIE (r,g)) with     respect to the color model in hueParams.    The result is a 2d array with values between 1 and 0.    hueParams is a struct that describes a 2d Gaussian     color distribution in the color space with fields:       muR - mean value in the CR direction.       sigR - standard deviation in the CR direction.       muG - mean value in the CG direction.       sigG - standard deviation in the CG direction.       rho - correlation coefficient between CR and CG. For details see appendix A.4 of Dirk's PhD thesis:    Dirk Walther (2006). Interactions of visual attention and object recognition:     Computational modeling, algorithms, and psychophysics. Ph.D. thesis.    California Institute of Technology.     http://resolver.caltech.edu/CaltechETD:etd-03072006-135433. or this book chapter:    Dirk B. Walther &amp; Christof Koch (2007). Attention in     Hierarchical Models of Object Recognition. In P. Cisek,     T. Drew &amp; J. F. Kalaska (Eds.), Progress in Brain Research:     Computational Neuroscience: Theoretical insights into brain     function. Amsterdam: Elsevier. See also <a href="makeHuePyramid.html" class="code" title="function huePyr = makeHuePyramid(image,type,hueParams,varargin)">makeHuePyramid</a>, <a href="skinHueParams.html" class="code" title="function params = skinHueParams">skinHueParams</a>, <a href="dataStructures.html" class="code" title="">dataStructures</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="safeDivide.html" class="code" title="function result = safeDivide(arg1,arg2)">safeDivide</a>	safeDivide - divides two arrays, checking for 0/0.</li></ul>This function is called by:<ul style="list-style-image:url(../matlabicon.gif)"><li><a href="makeHuePyramid.html" class="code" title="function huePyr = makeHuePyramid(image,type,hueParams,varargin)">makeHuePyramid</a>	makeHuePyramid - creates a hue distance pyramid.</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">% hueDistance - computes the distance in a simplified 2d color space.</span>0002 <span class="comment">%</span>0003 <span class="comment">% result = hueDistance(col_img,hueParams)</span>0004 <span class="comment">%    Computes the distance of each pixel of the</span>0005 <span class="comment">%    RGB image col_img in a 2d color space (akin to CIE (r,g)) with</span>0006 <span class="comment">%    respect to the color model in hueParams.</span>0007 <span class="comment">%    The result is a 2d array with values between 1 and 0.</span>0008 <span class="comment">%</span>0009 <span class="comment">%    hueParams is a struct that describes a 2d Gaussian</span>0010 <span class="comment">%    color distribution in the color space with fields:</span>0011 <span class="comment">%       muR - mean value in the CR direction.</span>0012 <span class="comment">%       sigR - standard deviation in the CR direction.</span>0013 <span class="comment">%       muG - mean value in the CG direction.</span>0014 <span class="comment">%       sigG - standard deviation in the CG direction.</span>0015 <span class="comment">%       rho - correlation coefficient between CR and CG.</span>0016 <span class="comment">%</span>0017 <span class="comment">% For details see appendix A.4 of Dirk's PhD thesis:</span>0018 <span class="comment">%    Dirk Walther (2006). Interactions of visual attention and object recognition:</span>0019 <span class="comment">%    Computational modeling, algorithms, and psychophysics. Ph.D. thesis.</span>0020 <span class="comment">%    California Institute of Technology.</span>0021 <span class="comment">%    http://resolver.caltech.edu/CaltechETD:etd-03072006-135433.</span>0022 <span class="comment">%</span>0023 <span class="comment">% or this book chapter:</span>0024 <span class="comment">%    Dirk B. Walther &amp; Christof Koch (2007). Attention in</span>0025 <span class="comment">%    Hierarchical Models of Object Recognition. In P. Cisek,</span>0026 <span class="comment">%    T. Drew &amp; J. F. Kalaska (Eds.), Progress in Brain Research:</span>0027 <span class="comment">%    Computational Neuroscience: Theoretical insights into brain</span>0028 <span class="comment">%    function. Amsterdam: Elsevier.</span>0029 <span class="comment">%</span>0030 <span class="comment">% See also makeHuePyramid, skinHueParams, dataStructures.</span>0031 0032 <span class="comment">% This file is part of the SaliencyToolbox - Copyright (C) 2006-2007</span>0033 <span class="comment">% by Dirk B. Walther and the California Institute of Technology.</span>0034 <span class="comment">% See the enclosed LICENSE.TXT document for the license agreement.</span>0035 <span class="comment">% More information about this project is available at:</span>0036 <span class="comment">% http://www.saliencytoolbox.net</span>0037 0038 <a name="_sub0" href="#_subfunctions" class="code">function result = hueDistance(col_img,hueParams)</a>0039 0040 <span class="keyword">if</span> ~isa(col_img,<span class="string">'double'</span>)0041   col_img = im2double(col_img);0042 <span class="keyword">end</span>0043 0044 r = col_img(:,:,1);0045 g = col_img(:,:,2);0046 b = col_img(:,:,3);0047 int = r + g + b;0048 0049 cr = <a href="safeDivide.html" class="code" title="function result = safeDivide(arg1,arg2)">safeDivide</a>(r,int) - hueParams.muR;0050 cg = <a href="safeDivide.html" class="code" title="function result = safeDivide(arg1,arg2)">safeDivide</a>(g,int) - hueParams.muG;0051 0052 result = exp(-(cr.^2/hueParams.sigR^2/2 + <span class="keyword">...</span>0053                cg.^2/hueParams.sigG^2/2 - <span class="keyword">...</span>0054                cr.*cg * hueParams.rho/hueParams.sigR/hueParams.sigG));</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> &copy; 2003</address></body></html>

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