I haven't done any work with feature extraction yet, and so won't be able to lend much, if any, assistance.<br><br>I can suggest that, for the benefit of others on the list, you provide more details about what you've already tried and the problems that you've had. Am I correct in assuming that the "Feature Extraction" tool(s) that you've tried includes the
<a class="el" href="http://www.itk.org/Doxygen32/html/classitk_1_1HoughTransform2DLinesImageFilter.html">HoughTransform2DLinesImageFilter</a> ? In what way(s) are the results not appreciable?<br><br>Cheers,<br> - Dan<br><br>
<div><span class="gmail_quote">On 8/2/07, <b class="gmail_sendername"><a href="mailto:gkaremore@scai.fraunhofer.de">gkaremore@scai.fraunhofer.de</a></b> <<a href="mailto:gkaremore@scai.fraunhofer.de">gkaremore@scai.fraunhofer.de
</a>> wrote:</span><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">Hello Dan<br><br>Thanks for your effort in understanding the problem. I meant by word
<br>segmenting is not with respect to medical(or other)image processing, my<br>application is Document image segmentation. In another words , It would be<br>called as multiclass labeling problem. Please see following papers related
<br>to binary image segmentation.<br><br>Bayesian decision feedback for segmentation of binary images<br>Kadaba, S.R.; Gelfand, S.B.; Kashyap, R.L. Acoustics, Speech, and Signal<br>Processing, 1995. ICASSP-95., 1995 International Conference on
<br>Volume 4, Issue , 9-12 May 1995 Page(s):2543 - 2546 vol.4<br><br>Strzelecki M., Segmentation of Binary Images Using Network of Oscillators,<br>2 Krajowa, Konferencja Komputerowe Systemy Rozpoznawania KOSYR 2001, 28-31
<br>May 2001<br><br>Especially papers from "International Journal of Document Analysis and<br>Recognition (IJDAR) - Computer Imaging, Vision, PR and Graphics "<br><br>My criterion to cluster is Shape:<br><br>I want rectangular,square, and horz and verticle line component to be
<br>labbled in separation to Text and graphics on the document(Under<br>segmentation/clustering/labeling).<br><br>currently I am trying with "Feature extraction" section of ITK toolbox.<br>Results are not appreciable. So looking for a different approach using ITK
<br>library.<br><br>Thanks in advance.<br><br>Sincerely<br>Gopal<br><br><br>Dan Homerick wrote:<br>> Hi Gopal,<br>><br>> I'm not sure if I understand what you mean by segmenting a binary image.<br>> "Segmentation" is typically reducing a grayscale or color image so that
<br>> only<br>> a few values are used, done in such a way that each color in the resulting<br>> image has some semantic meaning. If you're starting with a binary image,<br>> there's not much segmentation that can be done.
<br>><br>> It sounds like what you really want is to cluster (unconnected) components<br>> of your binary image into logical objects. By what criteria do you want to<br>> cluster them (spatial proximity, similarity of size, shape, other)? I
<br>> don't<br>> think there will be a simple filter to accomplish that, but if you can<br>> provide more details of what you intend to do, the mailing-list may be<br>> able<br>> to provide some guidance.
<br>><br>> Cheers,<br>> - Dan<br>><br>> On 8/2/07, <a href="mailto:gkaremore@scai.fraunhofer.de">gkaremore@scai.fraunhofer.de</a> <<a href="mailto:gkaremore@scai.fraunhofer.de">gkaremore@scai.fraunhofer.de
</a>><br>> wrote:<br>>><br>>> Dear All<br>>><br>>> Does ITK help in segmenting binary images. In another words ITK<br>>> segmentation library provides function to segment only gray scale and
<br>>> color image. Will ITK helpfull in segmenting binary images in to<br>>> different clusters. (Tried Binary threshold filter, connected component<br>>> algorithms).<br>>><br>>> Is there any other method by which we can segment binary image in ITK.
<br>>><br>>> Any comments would be appreciable.<br>>><br>>> Sincerely<br>>> Gopal<br>>><br>>> Research Scholar<br>>> Fraunhofer Institute<br>>> Germany<br>>> _______________________________________________
<br>>> Insight-users mailing list<br>>> <a href="mailto:Insight-users@itk.org">Insight-users@itk.org</a><br>>> <a href="http://www.itk.org/mailman/listinfo/insight-users">http://www.itk.org/mailman/listinfo/insight-users
</a><br>>><br>><br><br></blockquote></div><br>