How can i use the Mean Shift Algorithm as a clustring method?

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Hello masters,

I am working on segmentetion and clssification of images. I read about mean shift, but it is generally used to catch a moving object. As a clustring method, i have some questions about mean shift:

1) How can i create a data model from a pixel? (I read some approaches about this, e.g. a three dimensional vector with the components r,g,s.)
2) How can i create the datasets and calculate the mean value of the dataset?
3) What must be the initial value of a dataset center?

Thanks for your helps.

Posted 3-Jun-12 4:50am

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**Zoltán Zörgő** · Accepted Answer · 2012-06-03T05:20:00

This article is about the theory: http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/TUZEL1/MeanShift.pdf[^]
But I don't think, this approach is good for photos in general, rather for artificial graphics content.
1) Don't treat colors as RGB, LUV(YUV) or HSB seams more adequate. A pixel consists of it's (x,y,h,s,b) coordinates. You will need to define a distance measure for pixels. I suppose position will have to have more weight than color distance. (Color models[^])
For the later two you have to figure it out based on the algorithm itself. The simplest dataset would be an array.