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This work presents a new statistical approach to region merging where regions are modeled as arbitrary discrete distributions, directly estimated from the pixel values. Under this framework, two region merging criteria are obtained from two different perspectives, leading to information theory statistical measures: the Kullback-Leibler divergence and the Bhattacharyya coefficient. The developed methods are size-dependent, which assures the size consistency of the partitions but reduces theirdoi:10.1109/icip.2008.4712430 dblp:conf/icip/CaldereroM08 fatcat:fk7nlqyci5f5zh2nu3bzqxykgi