Support:Documents:Examples:K-Means and Fuzzy C-Means analysis
Revision as of 17:02, 3 August 2015 by Hsin Tommy Huang (talk | contribs)
K-Means and Fuzzy C-Means
In COMKAT R4.0a, you can analyze images by K-Means or Fuzzy C-Means.
1.Image > Clustering
2.You can select K-Means or Fuzzy C-Means here:
3.If you select Fuzzy C-means, you can choose the output Labels or Probability Maps /membership function :
4.Number of clusters
5.If your images are several MR contrast (muti-bands), you can also analyze a particular band alone by unchecking the checkbox as follows:
Examples
Here we use Fuzzy C-means for an example.
1.Load phantom imge:
a= phantom(256); b= phantom(256); c= cat(3,a,b); % COMKAT do not read 2-D image comkatimagetool(c)
2.Colormap > GreenFire
3.Image > Clustering
4.Set as follows:
5.Results