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<html><head><meta http-equiv="Content-Type" content="text/html; charset=ISO-8859-1"><title>mia-2dfuzzysegment</title><link rel="stylesheet" type="text/css" href="progref.css"><meta name="generator" content="DocBook XSL Stylesheets V1.79.1"><link rel="home" href="index.html" title="Mia Program Reference"><link rel="up" href="SecAnalysisfilteringcombiningandsegmentationof2Dimages.html" title="Analysis, filtering, combining, and segmentation of 2D images"><link rel="prev" href="Secmia2ddistance.html" title="mia-2ddistance"><link rel="next" href="Secmia2dgrayimagecombinetorgb.html" title="mia-2dgrayimage-combine-to-rgb"></head><body bgcolor="white" text="black" link="#0000FF" vlink="#840084" alink="#0000FF"><div class="navheader"><table width="100%" summary="Navigation header"><tr><th colspan="3" align="center">mia-2dfuzzysegment</th></tr><tr><td width="20%" align="left"><a accesskey="p" href="Secmia2ddistance.html">Prev</a> </td><th width="60%" align="center">Analysis, filtering, combining, and segmentation of 2D images</th><td width="20%" align="right"> <a accesskey="n" href="Secmia2dgrayimagecombinetorgb.html">Next</a></td></tr></table><hr></div><div class="section"><div class="titlepage"><div><div><h3 class="title"><a name="Secmia2dfuzzysegment"></a>mia-2dfuzzysegment</h3></div></div></div><h4><a name="idp1303"></a>Sysnopis:</h4><div class="cmdsynopsis"><p><code class="command">mia-2dfuzzysegment</code>  {-i <em class="replaceable"><code>io</code></em>} [
          <em class="replaceable"><code>options</code></em>
        ...]</p></div><h4><a name="idp1310"></a>Description:</h4><p>This program runs a combined fuzzy c-means clustering and B-field correction to facilitate a fuzzy segmentation of 2D image. cf D.L. Pham and J.L.Prince, "An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities", Pat. Rec. Let., 20:57-68,1999</p><h4><a name="idp1312"></a>Options:</h4><h4><a name="idp1313"></a>File-IO</h4><div class="variablelist"><dl class="variablelist compact"><dt><span class="term">-i, --in-file=(input, required); io</span></dt><dd><p>input image(s) to be segmenetd. For supported file types see <a class="xref" href="SecPlugintype2dimageio.html" title="Plugin type: 2dimage/io">Plugin type: 2dimage/io</a></p></dd><dt><span class="term">-c, --cls-file=(output); io</span></dt><dd><p>output class probability images (floating point values and multi-image). For supported file types see <a class="xref" href="SecPlugintype2dimageio.html" title="Plugin type: 2dimage/io">Plugin type: 2dimage/io</a></p></dd><dt><span class="term">-o, --b0-file=(output); io</span></dt><dd><p>image corrected for intensity non-uniformity. For supported file types see <a class="xref" href="SecPlugintype2dimageio.html" title="Plugin type: 2dimage/io">Plugin type: 2dimage/io</a></p></dd><dt><span class="term">-g, --gain-file=(output); io</span></dt><dd><p>gain field (floating point valued). For supported file types see <a class="xref" href="SecPlugintype2dimageio.html" title="Plugin type: 2dimage/io">Plugin type: 2dimage/io</a></p></dd></dl></div><h4><a name="idp1335"></a>Help &amp; Info</h4><div class="variablelist"><dl class="variablelist compact"><dt><span class="term">-V, --verbose=warning; dict</span></dt><dd><p>verbosity of output, print messages of given level and higher priorities. Supported priorities starting at lowest level are:</p><div class="informaltable"><table class="informaltable" border="0"><colgroup><col class="c1"><col class="c2"></colgroup><tbody><tr><td align="left" valign="top">info:</td><td align="left" valign="top">Low level messages</td></tr><tr><td align="left" valign="top">trace:</td><td align="left" valign="top">Function call trace</td></tr><tr><td align="left" valign="top">fail:</td><td align="left" valign="top">Report test failures</td></tr><tr><td align="left" valign="top">warning:</td><td align="left" valign="top">Warnings</td></tr><tr><td align="left" valign="top">error:</td><td align="left" valign="top">Report errors</td></tr><tr><td align="left" valign="top">debug:</td><td align="left" valign="top">Debug output</td></tr><tr><td align="left" valign="top">message:</td><td align="left" valign="top">Normal messages</td></tr><tr><td align="left" valign="top">fatal:</td><td align="left" valign="top">Report only fatal errors</td></tr></tbody></table></div></dd><dt><span class="term">--copyright=(); bool</span></dt><dd><p>print copyright information</p></dd><dt><span class="term">-h, --help=(); bool</span></dt><dd><p>print this help</p></dd><dt><span class="term">-?, --usage=(); bool</span></dt><dd><p>print a short help</p></dd><dt><span class="term">--version=(); bool</span></dt><dd><p>print the version number and exit</p></dd></dl></div><h4><a name="idp1386"></a>Parameters</h4><div class="variablelist"><dl class="variablelist compact"><dt><span class="term">-n, --no-of-classes=3; int</span></dt><dd><p>number of classesnumber of classes</p></dd><dt><span class="term">-r, --residuum=0.1; float</span></dt><dd><p>relative residuumrelative residuum</p></dd><dt><span class="term">--l1=200000; float</span></dt><dd><p>Penalize magnitude of intensity inhomogeinity correctionPenalize magnitude of intensity inhomogeinity correction</p></dd><dt><span class="term">--l2=2e+06; float</span></dt><dd><p>Smoothness of intensity inhomogeinity correctionSmoothness of intensity inhomogeinity correction</p></dd></dl></div><h4><a name="idp1404"></a>Processing</h4><div class="variablelist"><dl class="variablelist compact"><dt><span class="term">--threads=-1; int</span></dt><dd><p>Maxiumum number of threads to use for processing,This number should be lower or equal to the number of logical processor cores in the machine. (-1: automatic estimation).Maxiumum number of threads to use for processing,This number should be lower or equal to the number of logical processor cores in the machine. (-1: automatic estimation).</p></dd></dl></div><h4><a name="idp1410"></a>Example:</h4><p>Run a 5-class segmentation over input image input.v and store the class probability images in cls.v and the B0-field corrected image in b0.v.</p><pre class="screen">mia-2dfuzzysegment -i input.v -c 5 -o b0.v -c cls.v</pre><h4><a name="idp1413"></a>Author(s):</h4><p>Gert Wollny</p></div><div class="navfooter"><hr><table width="100%" summary="Navigation footer"><tr><td width="40%" align="left"><a accesskey="p" href="Secmia2ddistance.html">Prev</a> </td><td width="20%" align="center"><a accesskey="u" href="SecAnalysisfilteringcombiningandsegmentationof2Dimages.html">Up</a></td><td width="40%" align="right"> <a accesskey="n" href="Secmia2dgrayimagecombinetorgb.html">Next</a></td></tr><tr><td width="40%" align="left" valign="top">mia-2ddistance </td><td width="20%" align="center"><a accesskey="h" href="index.html">Home</a></td><td width="40%" align="right" valign="top"> mia-2dgrayimage-combine-to-rgb</td></tr></table></div></body></html>