Based on the maximum entropy principle

a new segmentation approach of fuzzy partition Renyi entropy of two-dimensional histogram is proposed. First

the concept of fuzzy partition is introduced. In view of the Renyi entropy as a generalized form of Shannon entropy

fuzzy probability and conditional probability are used to define the fuzzy Renyi entropy. Then

in sample space the optimal pair of parameters is searched. Finally

image segmentation is realized using membership functions. Experiments are conducted on three real object pictures by MATLAB. Results show that the proposed approach does good control performance to noise and interference. And its better than other contrast methods.