[Insight-users] Fuzzy K-means clustering

[Luis Ibanez]

Hi Anja,

You may find interesting the following email from the Archives:

http://www.itk.org/pipermail/insight-users/2007-May/022079.html

Is your image a scalar image ?

If so, you may want to try the following examples:


    Insight/Examples/Statistics
      ScalarImageKmeansClassifier.cxx
      ScalarImageKmeansModelEstimator.cxx
      ScalarImageMarkovRandomField1.cxx


Note that in  ScalarImageKmeansClassifier.cxx line 124 you must
change the number of classes to 2, (or...maybe more, depending
on whether you need to account for a rejection class, and maybe
other tissues).


Please give them a try and let us know if you have any questions,


    Thanks


       Luis



--------------------
Anja Ende wrote:
> Hello everyone,
> 
> I want to use the K-means classifier to do some segmentation. I want
> to classify my image into just 2 different classes (fluid and fat). I
> already have a fluid suppressed MR images and the fat voxels are
> supposed to be bright. I want to use an automatic segmentation method
> to do the job.
> 
> I tried the Otsu segmentation which gives decent results some of the
> time but I would like to improve it and was thinking of trying other
> algorithms to see if I can improve it.
> 
> My questions are:
> - Is the k-means classifier in ITK an implementation of the fuzzy
> k-means clustering? If no, is there an implementation of the fuzzy
> k-means classifier in ITK.
> - If I use the k-means classifier with the idea of only dividing the
> image up into 2 classes... Is it the same as doing an Otsu
> segmentation?
> 
> I have a pretty urgent requirement regarding this and any help from
> some segmentation experts would be greatly appreciated.
> 
> Cheers,
> Anja
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