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一种基于包含度理论的图像分割方法*

, PP. 805-814

Keywords: 图像分割,阈值法,模糊熵,相似度,包含度,隶属函数

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Abstract:

采用模糊集中的包含度提出阈值化分割图像方法.由于人眼视觉的主观性和图像结构的不确定性使得图像分割比较适合采用模糊技术进行处理.首先引入基于模糊集的包含度理论，其次基于模糊包含度公式定义图像分割选取阈值的新准则函数，最后基于互信息量和混沌理论给出该分割方法中的模糊隶属函数参数的最佳选取办法.实验结果表明，本文方法是可行的，且分割性能明显优于基于模糊熵或相似度的分割法.

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