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<font face="Helvetica, Arial, sans-serif">Hi there,<br>
reading Dawood's mail I just realized that I (possibly we) forgot
to make some little but important comments on the issue.<br>
<br>
IMHO, there are (at least) three main difficulties when
developping a segmentation method and/or using an already
implemented segmentation method:<br>
<br>
1. Good parametrization. A good selection of the parameters is
crucial for the method.<br>
<br>
2. The parameters' value is highly dependent on the image type and
region to be segmented. Sometimes some compromise values work, but
trial and error is usually necessary to find the appropriate range
of values for your application.<br>
<br>
3. Automatization of the method. Automating the segmentation
process is by no means a trivial task; it may well happen that you
are not able to achieve a fully automated method (in fact,
automatic segmentation is a recurrent topic in medical image
processing); if the method performs well, a minimal user
interaction is then acceptable.<br>
<br>
<br>
HTH.<br>
<br>
Best regards,<br>
JON HAITZ<br>
<br>
<br>
<br>
</font><br>
El 08/11/2010 13:43, Dawood Masslawi escribió:
<blockquote cite="mid:460223.72400.qm@web52303.mail.re2.yahoo.com"
type="cite">
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<pre>Dear H. B.,</pre>
<pre>
</pre>
<pre>Basically there are four types of segmentation methods available in</pre>
<pre>
</pre>
<pre>ITK which are morphological, level-set, deformable and hybrid </pre>
<pre>
</pre>
<pre>segmentation methods. I completely agree with Jon, the ITK software </pre>
<pre>
</pre>
<pre>guide is a comprehensive source for learning about these different </pre>
<pre>
</pre>
<pre>methods but considering your application (image guided surgery with </pre>
<pre>
</pre>
<pre>FEM) any of the level-set methods seem suitable (e.g. Canny-Edge </pre>
<pre>
</pre>
<pre>Level Set Segmentation). These methods would give you a good control</pre>
<pre>
</pre>
<pre> over your resulting images since they are parametric
approaches. </pre>
<pre>
</pre>
<pre>Another good resource for learning more about segmentation methods </pre>
<pre>
</pre>
<pre>is the book "image Processing, Analysis, and Computer Vision" by </pre>
<pre>
</pre>
<pre>Milan Sonka et al., chapter 7 of the book is about different </pre>
<pre>
</pre>
<pre>segmentation methods.</pre>
<pre>
</pre>
<pre>Regards,</pre>
<pre>
</pre>
<pre>Dawood Masslawi</pre>
<pre>
</pre>
<pre>>Hi all,</pre>
<pre>>
>Is there a good atomatic segmentation tool, that i give it set of images and the output is set of segmented images.
>
>Best Regards
> H.B</pre>
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