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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 LTUsegmentMap</title> <meta name="keywords" content="LTUsegmentMap"> <meta name="description" content="LTUsegmentMap - segment map using a network of linear threshold units."> <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> > LTUsegmentMap.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>LTUsegmentMap</h1><h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong>LTUsegmentMap - segment map using a network of linear threshold units.</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 [resultMap,segMaps] = LTUsegmentMap(map,seedPoint,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"> LTUsegmentMap - segment map using a network of linear threshold units. [resultMap,segMaps] = LTUsegmentMap(map,seedPoint) Segment the map around the seedPoint using a network of linear threshold units. Returns a binary map in resultMap and the intermediate maps at each time step in segMaps. This function is A LOT slower than fastSegmentMap! (But it works with model neurons.) See section 3 of this paper for details: Walther, D., and Koch, C. (2006). Modeling attention to salient proto-objects. Neural Networks 19, pp. 1395-1407. [resultMap,segMaps] = LTUsegmentMap(map,seedPoint,thresh) Use threshold thresh for segmentation (default: 0.1). This threshold is relative to the map activity at the seedPoint, i.e. the actual threshold is thresh * map(seedPoint). See also <a href="makeLTUsegmentNetwork.html" class="code" title="function LTUnetwork = makeLTUsegmentNetwork(mapSize,thresh)">makeLTUsegmentNetwork</a>, <a href="LTUsimulate.html" class="code" title="function [output,newStates] = LTUsimulate(LTUnetwork,states,inputs,numIter)">LTUsimulate</a>, <a href="fastSegmentMap.html" class="code" title="function resultMap = fastSegmentMap(map,seedPoint,varargin)">fastSegmentMap</a>, <a href="estimateShape.html" class="code" title="function shapeData = estimateShape(salmap,saliencyData,winner,params)">estimateShape</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="LTUsimulate.html" class="code" title="function [output,newStates] = LTUsimulate(LTUnetwork,states,inputs,numIter)">LTUsimulate</a> LTUsimulate - simulates an LTU network for numIter time steps.</li><li><a href="makeLTUsegmentNetwork.html" class="code" title="function LTUnetwork = makeLTUsegmentNetwork(mapSize,thresh)">makeLTUsegmentNetwork</a> makeLTUsegmentNetwork - creates an LTU network for map segmentation.</li><li><a href="timeString.html" class="code" title="function s = timeString()">timeString</a> timeString returns the current time and date in a convenient string format.</li></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></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">% LTUsegmentMap - segment map using a network of linear threshold units.</span>0002 <span class="comment">%</span>0003 <span class="comment">% [resultMap,segMaps] = LTUsegmentMap(map,seedPoint)</span>0004 <span class="comment">% Segment the map around the seedPoint using a network of linear</span>0005 <span class="comment">% threshold units. Returns a binary map in resultMap and the</span>0006 <span class="comment">% intermediate maps at each time step in segMaps.</span>0007 <span class="comment">% This function is A LOT slower than fastSegmentMap!</span>0008 <span class="comment">% (But it works with model neurons.)</span>0009 <span class="comment">% See section 3 of this paper for details:</span>0010 <span class="comment">% Walther, D., and Koch, C. (2006). Modeling attention to salient</span>0011 <span class="comment">% proto-objects. Neural Networks 19, pp. 1395-1407.</span>0012 <span class="comment">%</span>0013 <span class="comment">% [resultMap,segMaps] = LTUsegmentMap(map,seedPoint,thresh)</span>0014 <span class="comment">% Use threshold thresh for segmentation (default: 0.1).</span>0015 <span class="comment">% This threshold is relative to the map activity at</span>0016 <span class="comment">% the seedPoint, i.e. the actual threshold is thresh * map(seedPoint).</span>0017 <span class="comment">%</span>0018 <span class="comment">% See also makeLTUsegmentNetwork, LTUsimulate, fastSegmentMap, estimateShape, dataStructures.</span>0019 0020 <span class="comment">% This file is part of the SaliencyToolbox - Copyright (C) 2006-2007</span>0021 <span class="comment">% by Dirk B. Walther and the California Institute of Technology.</span>0022 <span class="comment">% See the enclosed LICENSE.TXT document for the license agreement.</span>0023 <span class="comment">% More information about this project is available at:</span>0024 <span class="comment">% http://www.saliencytoolbox.net</span>0025 0026 <a name="_sub0" href="#_subfunctions" class="code">function [resultMap,segMaps] = LTUsegmentMap(map,seedPoint,varargin)</a>0027 0028 <span class="keyword">if</span> isempty(varargin) thresh = 0.1;0029 <span class="keyword">else</span> thresh = varargin{1}; <span class="keyword">end</span>0030 0031 numIter = -1;0032 eps = 0.001;0033 0034 <span class="comment">% prepare data structures for the result</span>0035 imSize = size(map.data);0036 lab = map.label;0037 seedVal = map.data(seedPoint(1),seedPoint(2));0038 <span class="keyword">if</span> (seedVal < eps)0039 resultMap.origImage = map.origImage;0040 resultMap.label = [<span class="string">'seg-0: '</span> lab];0041 resultMap.data = zeros(imSize);0042 resultMap.date = <a href="timeString.html" class="code" title="function s = timeString()">timeString</a>;0043 resultMap.parameters = map.parameters;0044 segMaps = [];0045 <span class="keyword">return</span>;0046 <span class="keyword">end</span>0047 0048 <span class="comment">% create the segmentation network</span>0049 LTUnetwork = <a href="makeLTUsegmentNetwork.html" class="code" title="function LTUnetwork = makeLTUsegmentNetwork(mapSize,thresh)">makeLTUsegmentNetwork</a>(imSize,thresh);0050 select = zeros(imSize);0051 select(seedPoint(1),seedPoint(2)) = 1;0052 input = [map.data(:)/seedVal;select(:)];0053 states = zeros(1,LTUnetwork.numCells);0054 0055 keepgoing = 1;0056 iter = 0;0057 <span class="keyword">while</span> (keepgoing)0058 iter = iter + 1;0059 [output,states] = <a href="LTUsimulate.html" class="code" title="function [output,newStates] = LTUsimulate(LTUnetwork,states,inputs,numIter)">LTUsimulate</a>(LTUnetwork,states,input,2);0060 segMaps(iter).origImage = map.origImage;0061 segMaps(iter).label = sprintf(<span class="string">'seg-%d: %s'</span>,iter,lab);0062 segMaps(iter).data = reshape(output,imSize);0063 segMaps(iter).date = <a href="timeString.html" class="code" title="function s = timeString()">timeString</a>;0064 segMaps(iter).parameters = map.parameters;0065 <span class="keyword">if</span> (numIter > 0)0066 keepgoing = (iter <= numIter);0067 <span class="keyword">else</span>0068 <span class="keyword">if</span> (iter == 1)0069 keepgoing = 1;0070 <span class="keyword">else</span>0071 keepgoing = ~isequal(output,old_output);0072 <span class="keyword">end</span>0073 old_output = output;0074 <span class="keyword">end</span>0075 <span class="keyword">end</span>0076 0077 resultMap = segMaps(end);</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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