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<td class="index">
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<td class="title">Demonstrations</td>
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<h1>mmdruler
<br>
<span class="subtitle">Detect defects in a ruler.
</span>
</h1>
<div class="descr">
<H2>Description</H2>
<div class="H2">
<p>
The input image is a gray-scale image of a ruler, that has a number touching a tick mark. This number and mark are detected based on morphological and connected filtering.
</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 ruler is read.
</p>
<div class="example">
<div class="listing">
<pre class="user">>>> a = mmreadgray('mm3.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="256" src="../images/img_mmdruler_001.jpg"></td>
<td class="spare"></td>
</tr>
<tr class="title" valign="baseline">
<td><a href="../images/img_mmdruler_001.jpg">a</a></td>
<td class="spare"></td>
</tr>
</tbody>
</table>
</div>
</p>
</div>
</div>
<div class="slide">
<H3>Segmentation</H3>
<div class="H3">
<p>
<p>
The close top-hat operator followed by a thresholding is applied.
</p>
<div class="example">
<div class="listing">
<pre class="user">>>> b = mmthreshad( mmcloseth(a,mmsebox(5)),40);</pre>
<pre class="computer">Warning: Converting input image from int32 to uint8.</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="256" src="../images/img_mmdruler_002.jpg"></td>
<td class="spare"></td>
</tr>
<tr class="title" valign="baseline">
<td><a href="../images/img_mmdruler_002.jpg">b</a></td>
<td class="spare"></td>
</tr>
</tbody>
</table>
</div>
</p>
</div>
</div>
<div class="slide">
<H3>Size filtering</H3>
<div class="H3">
<p>
<p>
The vertical lines longer than 50 pixels are detected.
</p>
<div class="example">
<div class="listing">
<pre class="user">>>> c = mmopen(b,mmseline(50,90));</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="256" src="../images/img_mmdruler_003.jpg"></td>
<td class="spare"></td>
</tr>
<tr class="title" valign="baseline">
<td><a href="../images/img_mmdruler_003.jpg">c</a></td>
<td class="spare"></td>
</tr>
</tbody>
</table>
</div>
</p>
</div>
</div>
<div class="slide">
<H3>Ruler tick marks filtering</H3>
<div class="H3">
<p>
<p>
It closes ruler tick marks gaps.
</p>
<div class="example">
<div class="listing">
<pre class="user">>>> d =mmclose(c,mmseline(15));</pre>
<pre class="computer"></pre>
<pre class="user">>>> mmshow(d);</pre>
<pre class="computer"></pre>
</div>
<table class="images">
<tbody align="center">
<tr class="image" valign="bottom">
<td><img width="256" src="../images/img_mmdruler_004.jpg"></td>
<td class="spare"></td>
</tr>
<tr class="title" valign="baseline">
<td><a href="../images/img_mmdruler_004.jpg">d</a></td>
<td class="spare"></td>
</tr>
</tbody>
</table>
</div>
</p>
</div>
</div>
<div class="slide">
<H3>Ruler tick marks connection</H3>
<div class="H3">
<p>
<p>
It detects all objects connected to the ruler tick markers.
</p>
<div class="example">
<div class="listing">
<pre class="user">>>> e = mminfrec(d,b);</pre>
<pre class="computer"></pre>
<pre class="user">>>> mmshow(e);</pre>
<pre class="computer"></pre>
</div>
<table class="images">
<tbody align="center">
<tr class="image" valign="bottom">
<td><img width="256" src="../images/img_mmdruler_005.jpg"></td>
<td class="spare"></td>
</tr>
<tr class="title" valign="baseline">
<td><a href="../images/img_mmdruler_005.jpg">e</a></td>
<td class="spare"></td>
</tr>
</tbody>
</table>
</div>
</p>
</div>
</div>
<div class="slide">
<H3>Ruler tick mark vertical connection</H3>
<div class="H3">
<p>
<p>
It detects all objects vertically connected to the ruler tick mark. Note that the 3x1 rectangle is used as structuring element in the vertical reconstruction.
</p>
<div class="example">
<div class="listing">
<pre class="user">>>> f = mminfrec(d,b,mmseline(3,90));</pre>
<pre class="computer"></pre>
<pre class="user">>>> mmshow(f);</pre>
<pre class="computer"></pre>
</div>
<table class="images">
<tbody align="center">
<tr class="image" valign="bottom">
<td><img width="256" src="../images/img_mmdruler_006.jpg"></td>
<td class="spare"></td>
</tr>
<tr class="title" valign="baseline">
<td><a href="../images/img_mmdruler_006.jpg">f</a></td>
<td class="spare"></td>
</tr>
</tbody>
</table>
</div>
</p>
</div>
</div>
<div class="slide">
<H3>Non ruler tick mark vertical connection</H3>
<div class="H3">
<p>
<p>
The residues obtained from the previous image.
</p>
<div class="example">
<div class="listing">
<pre class="user">>>> g = mmsubm(e,f);</pre>
<pre class="computer"></pre>
<pre class="user">>>> mmshow(g);</pre>
<pre class="computer"></pre>
</div>
<table class="images">
<tbody align="center">
<tr class="image" valign="bottom">
<td><img width="256" src="../images/img_mmdruler_007.jpg"></td>
<td class="spare"></td>
</tr>
<tr class="title" valign="baseline">
<td><a href="../images/img_mmdruler_007.jpg">g</a></td>
<td class="spare"></td>
</tr>
</tbody>
</table>
</div>
</p>
</div>
</div>
<div class="slide">
<H3>Ruler tick marks detection</H3>
<div class="H3">
<p>
<p>
It uses an opening by an elementary cross structuring element to eliminate the artifacts.
</p>
<div class="example">
<div class="listing">
<pre class="user">>>> h = mmopen(g);</pre>
<pre class="computer"></pre>
<pre class="user">>>> mmshow(h);</pre>
<pre class="computer"></pre>
</div>
<table class="images">
<tbody align="center">
<tr class="image" valign="bottom">
<td><img width="256" src="../images/img_mmdruler_008.jpg"></td>
<td class="spare"></td>
</tr>
<tr class="title" valign="baseline">
<td><a href="../images/img_mmdruler_008.jpg">h</a></td>
<td class="spare"></td>
</tr>
</tbody>
</table>
</div>
</p>
</div>
</div>
<div class="slide">
<H3>Objects detection</H3>
<div class="H3">
<p>
<p>
It detects the objects connected to ruler tick marks. A reconstruction from the ruler marks detected is applied.
</p>
<div class="example">
<div class="listing">
<pre class="user">>>> i = mminfrec(h, b);</pre>
<pre class="computer"></pre>
<pre class="user">>>> mmshow(i);</pre>
<pre class="computer"></pre>
</div>
<table class="images">
<tbody align="center">
<tr class="image" valign="bottom">
<td><img width="256" src="../images/img_mmdruler_009.jpg"></td>
<td class="spare"></td>
</tr>
<tr class="title" valign="baseline">
<td><a href="../images/img_mmdruler_009.jpg">i</a></td>
<td class="spare"></td>
</tr>
</tbody>
</table>
</div>
</p>
</div>
</div>
<div class="slide">
<H3>Final presentation</H3>
<div class="H3">
<p>
<p>
Overlay the detected defect over the original image
</p>
<div class="example">
<div class="listing">
<pre class="user">>>> mmshow(a,i);</pre>
<pre class="computer"></pre>
</div>
<table class="images">
<tbody align="center">
<tr class="image" valign="bottom">
<td><img width="256" src="../images/img_mmdruler_010.jpg"></td>
<td class="spare"></td>
</tr>
<tr class="title" valign="baseline">
<td><a href="../images/img_mmdruler_010.jpg">a,i</a></td>
<td class="spare"></td>
</tr>
</tbody>
</table>
</div>
</p>
</div>
</div>
</div>
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<td class="copyright">Copyright (c) 2003, Roberto A. Lotufo, UNICAMP-University of Campinas; Rubens C. Machado, CenPRA-Renato Archer Research Center.</td>
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distrib
>
Mandriva
>
2010.0
>
i586
>
media
>
contrib-release
>
by-pkgid
>
4a71d9984febeb5a206904a5a379841a
>
files
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634
