Hi Gopal,<br><br>I'm not sure if I understand what you mean by segmenting a binary image. "Segmentation" is typically reducing a grayscale or color image so that only a few values are used, done in such a way that each color in the resulting image has some semantic meaning. If you're starting with a binary image, there's not much segmentation that can be done.
<br><br>It sounds like what you really want is to cluster (unconnected) components of your binary image into logical objects. By what criteria do you want to cluster them (spatial proximity, similarity of size, shape, other)? I don't think there will be a simple filter to accomplish that, but if you can provide more details of what you intend to do, the mailing-list may be able to provide some guidance.
<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;">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>
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