⭐ 欢迎来到虫虫下载站! | 📦 资源下载 📁 资源专辑 ℹ️ 关于我们
⭐ 虫虫下载站

📄 avw_estimate_noise.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.
💻 HTML
字号:
<!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_estimate_noise</title>  <meta name="keywords" content="avw_estimate_noise">  <meta name="description" content="">  <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_estimate_noise.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_estimate_noise</h1><h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong></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 noise_mean = avw_estimate_noise(avw) </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"></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 noise_mean = avw_estimate_noise(avw)</a>0002 0003 0004 0005 [s1,s2,s3] = size(avw.img);0006 0007 slice_x0 = avw.img(1,:,:);0008 slice_x0_mean = mean(mean(slice_x0));0009 0010 <span class="keyword">if</span> s1 &gt; 1,0011     slice_x1 = avw.img(<span class="keyword">end</span>,:,:);0012     slice_x1_mean = mean(mean(slice_x1));0013     x_mean = mean(slice_x0_mean, slice_x1_mean);0014 <span class="keyword">else</span>0015     x_mean = slice_x0_mean;0016 <span class="keyword">end</span>0017     0018 slice_y0 = avw.img(:,1,:);0019 slice_y0_mean = mean(mean(slice_y0));0020 0021 <span class="keyword">if</span> s2 &gt; 1,0022     slice_y1 = avw.img(:,<span class="keyword">end</span>,:);0023     slice_y1_mean = mean(mean(slice_y1));0024     y_mean = mean(slice_y0_mean, slice_y1_mean);0025 <span class="keyword">else</span>0026     y_mean = slice_y0_mean;0027 <span class="keyword">end</span>0028 0029 slice_z0 = avw.img(:,:,1);0030 slice_z0_mean = mean(mean(slice_z0));0031 0032 <span class="keyword">if</span> s3 &gt; 1,0033     slice_z1 = avw.img(:,:,end);0034     slice_z1_mean = mean(mean(slice_z1));0035     z_mean = mean(slice_z0_mean, slice_z1_mean);0036 <span class="keyword">else</span>0037     z_mean = slice_z0_mean;0038 <span class="keyword">end</span>0039 0040 noise_mean = mean([x_mean,y_mean,z_mean]);0041</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>

⌨️ 快捷键说明

复制代码 Ctrl + C
搜索代码 Ctrl + F
全屏模式 F11
切换主题 Ctrl + Shift + D
显示快捷键 ?
增大字号 Ctrl + =
减小字号 Ctrl + -