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K-means Clustering for Color Grouping

I need to cluster different colors using k-means clustering algorithm.
when i use function like this with k=4 for 5 colors image.
[cluster_idx cluster_centre]=kmeans(inputImg,k,'distance','sqEuclidean','Replicates',3);
It will end up with empty cluster at iteration 1 and no partition. If i run multiple times,then at one time it will partition the colors .
then if i change above function like this [cluster_idx cluster_centre]=kmeans(inputImg,k); and then also end up with same result.
Why it showing like this even though image is having 5 colors..? How to debug this problem..? Does any one know please help me out.
Thank You.

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1 Answer

Answer by Image Analyst
on 9 Jan 2013
 Accepted Answer

Have you seen the Mathworks demo: http://www.mathworks.com/products/demos/image/color_seg_k/ipexhistology.html. I don't have the stats toolbox so I can't help you debug it anymore.

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I used same demo code, but still i am getting error.
In my program, i used color reduction image as a input to the 'kmeans'function.In that the image is having 5 colors and i need to group those colors by choosing k=4 or 5;
In demo program the direct input image is used as input to the kmeans function.
Does any one know please help me..
Thank You.
I can't help you because I don't have the stats toolbox. Perhaps you can call the Mathworks and ask why their demo returns 4 clusters (or 4 plus an empty 5th) when you're specifying 5 clusters.

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