📄 avw_smooth.html

📁 mri_toolbox是一个工具用来MRI. 来自于SourceForge, 我上传这个软件,希望能结识对医疗软件感兴趣的兄弟.
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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 avw_smooth</title>  <meta name="keywords" content="avw_smooth">  <meta name="description" content="avw_smooth - Guassian smoothing">  <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="index.html">mri_toolbox</a> &gt; avw_smooth.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 mri_toolbox&nbsp;<img alt=">" border="0" src="../right.png"></a></td></tr></table>--><h1>avw_smooth</h1><h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong>avw_smooth - Guassian smoothing</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 avw = avw_smooth(avw,fwhm) </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"> avw_smooth - Guassian smoothing

 Usage: avw = avw_smooth(avw,fwhm)

 avw is the Analyze struct returned by avw_read
 fwhm is an integer indicating the voxels to convolve with the Gaussian kernel
 (default = 3, a 3x3x3 convolution)</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)"></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 <a name="_sub0" href="#_subfunctions" class="code">function avw = avw_smooth(avw,fwhm)</a>0002 0003 <span class="comment">% avw_smooth - Guassian smoothing</span>0004 <span class="comment">%</span>0005 <span class="comment">% Usage: avw = avw_smooth(avw,fwhm)</span>0006 <span class="comment">%</span>0007 <span class="comment">% avw is the Analyze struct returned by avw_read</span>0008 <span class="comment">% fwhm is an integer indicating the voxels to convolve with the Gaussian kernel</span>0009 <span class="comment">% (default = 3, a 3x3x3 convolution)</span>0010 <span class="comment">%</span>0011 0012 <span class="keyword">if</span> ~exist(<span class="string">'fwhm'</span>,<span class="string">'var'</span>), fwhm = 3; <span class="keyword">end</span>0013 <span class="keyword">if</span> isempty(fwhm), fwhm = 3; <span class="keyword">end</span>0014 0015 fprintf(<span class="string">'...gaussian smoothing...'</span>); tic;0016 0017 avw.img = smooth3(avw.img,<span class="string">'gaussian'</span>,fwhm);0018 0019 t = toc; fprintf(<span class="string">'done (%5.2f sec)\n'</span>,t);0020 0021 <span class="keyword">return</span></pre></div><hr><address>Generated on Fri 21-May-2004 12:38:21 by <strong><a href="http://www.artefact.tk/software/matlab/m2html/">m2html</a></strong> &copy; 2003</address></body></html>
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