An improved entropy function and chaos optimization based scheme for two-dimensional entropie image segmentation

Abstract

An improved two-dimensional entropie image segmentation method is presented in this paper. The method makes use of a new entropy function defined in a simple form, which can reduce computational amount notably. And the correctness of the new function is also proved. Then a scheme based on mutative scale chaos optimization is adopted to search for the optimal threshold. The results of simulation illustrate that efficiency of segmentation is improved significantly due to the new entropy function and searching method. © Springer-Verlag Berlin Heidelberg 2007.