An Optimal Two-dimensional Entropic Segmentation Algorithm Based on Fast Recursion and Search Strategy
基于快速递推和搜索策略的优化2维熵分割算法

This paper presents the concept of optimal two-dimensional entropy function at first.Then we presents an undistorted fast recursion algorithm and a distorted optimal search strategy.In this way,the proposed algorithm can decrease computational time when it gets the similar image segmentation as traditional algorithm does.Finally we analyze and validate the algorithm theoretically and experimentally.