<html> <head> <meta content="text/html; charset=ISO-8859-1" http-equiv="Content-Type"> <title>mmglblshow</title> <link href="../tbxdok.css" rel="stylesheet"> </head> <body> <table class="topNav"> <tr> <td class="index"> [<a href="../morph/mmstats.html"><tt>mmstats</tt></a>] [<a href="index.html">Up</a>] [<a href="../morph/mmgshow.html"><tt>mmgshow</tt></a>] </td> <td class="title">Visualization</td> </tr> </table> <h1>mmglblshow <br> <span class="subtitle">Apply a random color table to a gray-scale image. </span> </h1> <div class="synopsis"> <H2>Synopsis</H2> <div class="H2"> <div class="prototype">Y = <span class="fun">mmglblshow</span>( <span class="par">X</span>, <span class="par">border</span> = 0.0 ) </div> <p>Implemented in <b>Python.</b> </p> <div class="input"> <H3>Input</H3> <div class="H3"> <table class="deflist"> <tbody valign="baseline"> <tr> <td class="term"><span class="par">X</span></td> <td class="def"><span class="type"><a href="../mmtypes/mmImage.html">Image</a></span> Gray-scale (uint8 or uint16) image. <p>Labeled image.</p></td> </tr> <tr> <td class="term"><span class="par">border</span></td> <td class="def"><span class="type"><a href="../mmtypes/mmBoolean.html">Boolean</a></span><p>Labeled image.</p><p>Default: <code>0.0</code> </p></td> </tr> </tbody> </table> </div> </div> <div class="output"> <H3>Output</H3> <div class="H3"> <table class="deflist"> <tbody valign="baseline"> <tr> <td class="term"><span class="par">Y</span></td> <td class="def"><span class="type"><a href="../mmtypes/mmImage.html">Image</a></span> Gray-scale (uint8 or uint16) or binary image. </td> </tr> </tbody> </table> </div> </div> </div> </div> <div class="sourcecode"> <H2>Source Code</H2> <div class="H2"> <pre class="listing"> def mmglblshow(X, border=0.0): from Numeric import take, resize, shape from MLab import rand mmin = mmstats(X,'min') mmax = mmstats(X,'max') ncolors = mmax - mmin + 1 R = int32(rand(ncolors)*255) G = int32(rand(ncolors)*255) B = int32(rand(ncolors)*255) if mmin == 0: R[0],G[0],B[0] = 0,0,0 r=resize(take(R, X.flat - mmin),X.shape) g=resize(take(G, X.flat - mmin),X.shape) b=resize(take(B, X.flat - mmin),X.shape) Y=mmconcat('d',r,g,b) return Y </pre> </div> </div> <div class="seealso"> <H2>See also</H2> <div class="H2"> <table class="deflist"> <tbody valign="baseline"> <tr> <td class="term"><a href="../morph/mmlabel.html">mmlabel</a></td> <td class="def">Label a binary image.</td> </tr> <tr> <td class="term"><a href="../morph/mmlblshow.html">mmlblshow</a></td> <td class="def">Display a labeled image assigning a random color for each label.</td> </tr> </tbody> </table> </div> </div> <center> <table class="botNav"> <tr> <td class="index"> [<a href="../morph/mmstats.html"><tt>mmstats</tt></a>] [<a href="index.html">Up</a>] [<a href="../morph/mmgshow.html"><tt>mmgshow</tt></a>] </td> <td rowspan="2" class="xhtml"><a href="http://www.python.org"><img width="55" alt="Python" height="22" src="../PythonPoweredSmall.gif"></a></td> </tr> <tr> <td class="copyright">Copyright (c) 2003, Roberto A. Lotufo, UNICAMP-University of Campinas; Rubens C. Machado, CenPRA-Renato Archer Research Center.</td> </tr> </table> </center> </body> </html>