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I am looking for a common distance method to compare two distribution (ex: histogram of image). Please suggest to me some common method to do it. I found some method ex: Bhattacharyya distance , K-L distance. Do you have other?

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NID,normalized information distance which is motivated by Kolmogorov complexity ,please see papers of Ming Li's Homepage http://homepages.cwi.nl/~paulv/learning.html or Paul Vitaniy's homepage http://homepages.cwi.nl/~paulv/learning.html.In fact,the articles are the same.

Somehow,it is slow when you run the program of it ,and it is just a approximate algorithm since Kolmogorov complexit is non computable.Actually,it is a univesal distance,which is the best among all computable distance.

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