[Insight-users] Binary Image segmentation
Luis Ibanez
luis.ibanez at kitware.com
Sun Aug 5 11:34:50 EDT 2007
Hi Gopal,
Dan is quite right here, but just to expand a bit in his answer:
Could you post somewhere an example of the images that you are
processing, and betwee explain what is the outcome that you are
looking for ?
Note that for connected components you could use the filter:
http://www.itk.org/Insight/Doxygen/html/classitk_1_1ConnectedComponentImageFilter.html
very related is the RelabelComponentImageFilter:
http://www.itk.org/Insight/Doxygen/html/classitk_1_1RelabelComponentImageFilter.html
Regards,
Luis
----------------------
Dan Homerick wrote:
> Hi Gopal,
>
> 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.
>
> 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.
>
> Cheers,
> - Dan
>
> On 8/2/07, *gkaremore at scai.fraunhofer.de
> <mailto:gkaremore at scai.fraunhofer.de>* < gkaremore at scai.fraunhofer.de
> <mailto:gkaremore at scai.fraunhofer.de>> wrote:
>
> Dear All
>
> Does ITK help in segmenting binary images. In another words ITK
> segmentation library provides function to segment only gray scale and
> color image. Will ITK helpfull in segmenting binary images in to
> different clusters. (Tried Binary threshold filter, connected component
> algorithms).
>
> Is there any other method by which we can segment binary image in ITK.
>
> Any comments would be appreciable.
>
> Sincerely
> Gopal
>
> Research Scholar
> Fraunhofer Institute
> Germany
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