<html>
<head>
<meta content="text/html; charset=ISO-8859-1" http-equiv="Content-Type">
<title>mmdrobotop</title>
<link href="../tbxdok.css" rel="stylesheet">
</head>
<body>
<table class="topNav">
<tr>
<td class="index">
[<a href="../mmdemos/mmdpotatoes.html"><tt>mmdpotatoes</tt></a>]
[<a href="index.html">Up</a>]
[<a href="../mmdemos/mmdruler.html"><tt>mmdruler</tt></a>]
</td>
<td class="title">Demonstrations</td>
</tr>
</table>
<h1>mmdrobotop
<br>
<span class="subtitle">Detect marks on a robot.
</span>
</h1>
<div class="descr">
<H2>Description</H2>
<div class="H2">
<p>
The input-image is a gray-scale image of a rounded-shaped robot, viewed by a camera mounted on the ceiling. The procedure detects two white marks on top of the robot. This is a typical example of application of the top-hat operator in image segmentation.
</p>
</div>
</div>
<div class="script">
<H2>Demo Script</H2>
<div class="H2">
<div class="slide">
<H3>Reading </H3>
<div class="H3">
<p>
<p>
The gray-scale image of the robot top view is read.
</p>
<div class="example">
<div class="listing">
<pre class="user">>>> a = mmreadgray('robotop.tif');</pre>
<pre class="computer"></pre>
<pre class="user">>>> mmshow(a);</pre>
<pre class="computer"></pre>
</div>
<table class="images">
<tbody align="center">
<tr class="image" valign="bottom">
<td><img width="320" src="../images/img_mmdrobotop_001.jpg"></td>
<td class="spare"></td>
</tr>
<tr class="title" valign="baseline">
<td><a href="../images/img_mmdrobotop_001.jpg">a</a></td>
<td class="spare"></td>
</tr>
</tbody>
</table>
</div>
</p>
</div>
</div>
<div class="slide">
<H3>Open top-hat</H3>
<div class="H3">
<p>
<p>
It detects white regions smaller than a square of radius 4.
</p>
<div class="example">
<div class="listing">
<pre class="user">>>> b = mmopenth(a,mmsebox(4));</pre>
<pre class="computer"></pre>
<pre class="user">>>> mmshow(b);</pre>
<pre class="computer"></pre>
</div>
<table class="images">
<tbody align="center">
<tr class="image" valign="bottom">
<td><img width="320" src="../images/img_mmdrobotop_002.jpg"></td>
<td class="spare"></td>
</tr>
<tr class="title" valign="baseline">
<td><a href="../images/img_mmdrobotop_002.jpg">b</a></td>
<td class="spare"></td>
</tr>
</tbody>
</table>
</div>
</p>
</div>
</div>
<div class="slide">
<H3>Opening</H3>
<div class="H3">
<p>
<p>
It removes white objects smaller than a square of radius 1.
</p>
<div class="example">
<div class="listing">
<pre class="user">>>> c = mmopen(b,mmsebox());</pre>
<pre class="computer"></pre>
<pre class="user">>>> mmshow(c);</pre>
<pre class="computer"></pre>
</div>
<table class="images">
<tbody align="center">
<tr class="image" valign="bottom">
<td><img width="320" src="../images/img_mmdrobotop_003.jpg"></td>
<td class="spare"></td>
</tr>
<tr class="title" valign="baseline">
<td><a href="../images/img_mmdrobotop_003.jpg">c</a></td>
<td class="spare"></td>
</tr>
</tbody>
</table>
</div>
</p>
</div>
</div>
<div class="slide">
<H3>Thresholding</H3>
<div class="H3">
<p>
<p>
It detects the robot markers. This is a very robust thresholding (i.e., the result is not sensible to small changes in the value of the threshold parameter). The original image is overlayed by the detected robot markers.
</p>
<div class="example">
<div class="listing">
<pre class="user">>>> d = mmthreshad(c,100);</pre>
<pre class="computer">Warning: Converting input image from int32 to uint8.</pre>
<pre class="user">>>> mmshow(a,d);</pre>
<pre class="computer"></pre>
</div>
<table class="images">
<tbody align="center">
<tr class="image" valign="bottom">
<td><img width="320" src="../images/img_mmdrobotop_004.jpg"></td>
<td class="spare"></td>
</tr>
<tr class="title" valign="baseline">
<td><a href="../images/img_mmdrobotop_004.jpg">a,d</a></td>
<td class="spare"></td>
</tr>
</tbody>
</table>
</div>
</p>
</div>
</div>
</div>
</div>
<center>
<table class="botNav">
<tr>
<td class="index">
[<a href="../mmdemos/mmdpotatoes.html"><tt>mmdpotatoes</tt></a>]
[<a href="index.html">Up</a>]
[<a href="../mmdemos/mmdruler.html"><tt>mmdruler</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>
distrib
>
Mandriva
>
2010.0
>
i586
>
media
>
contrib-release
>
by-pkgid
>
4a71d9984febeb5a206904a5a379841a
>
files
>
633
