Something else I forgot is that you could try kmeans after conversion from RGB colorspace to the LAB or another colorspace (convert to a 3-slice stack in a new colorspace and run kmeans on the stack). Plugins are readily available for that process.
>Date: Thu, 6 Dec 2007 09:53:04 +0000
>From: Richard Han <
[hidden email]>
>Subject: k-means Clustering
>
>Dear All,
>
>I am using k-means Clustering to measure the blue and red in my
>images. I use the threshold to move from one cluster to another. In
>some images the k-means clustering could produce very good matches
>(I'd say spot on), but in others the results were less desirable. My
>settings are
>
>Number of clusters to: 4
>Cluster center tolerance: 0.0001
>Enable randomization seed: ticked
>Randomization seed: 48
>The other options were not ticked
>
>Could I do anything more to improve the analysis? and... Is it
>possible to pre-define the red and blue clusters (ie, assign cluster
>1 to be blue)?
>
>Any help will be appreciated. Thanking you.
>
>Richard Han
>University of Edinburgh
Toby C. Cornish, M.D., Ph.D.