Support:Documents:Examples:K-Means and Fuzzy C-Means analysis

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K-Means and Fuzzy C-Means

In COMKAT R4.0a, you can analyze images by K-Means or Fuzzy C-Means.

1.Image > Clustering

K Fuzzy Means 1.png

2.You can select K-Means or Fuzzy C-Means here:

K Fuzzy Means 2.png

3.If you select Fuzzy C-means, you can choose the output Labels or Probability Maps /membership function :

K Fuzzy Means 3.png

4.Number of clusters

K Fuzzy Means 4.png

5.If your images are several MR contrast (muti-bands), you can also analyze a particular band alone by unchecking the checkbox as follows:

K Fuzzy Means 5.png


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

2.Colormap > GreenFire

K Fuzzy Means 6.png

3.Image > Clustering

K Fuzzy Means 7.png

4.Set as follows:

K Fuzzy Means 8.png


K Fuzzy Means 9.png