【摘要】 从模糊集合的观念出发 ,将交叉熵和模糊散度应用于图象分割 ,先讨论类间最大模糊散度分割算法 ,接着分析类内最小模糊散度分割算法。最后对这两类算法的适用性和通用性进行了比较更多还原

【Abstract】 The fuzzy cross entropy and fuzzy divergence are applied to the image segmentation. First,the segmentation algorithm base on maximun between-class fuzzy divergence is discussed,and then the segmentation algorithm based on minimum fuzzy divergence in the same classes is analyzed. In the end,the applicability and universality of these two algorithms are compared.更多还原