摘要
利用遗传算法的高效搜索性能和模糊集合理论能较好地描述问题的模糊性和随机性,提出了基于遗传算法的最大模糊熵快速分割算法,将遗传算法和模糊集合理论结合起来应用于灰度图象单阈值和多阈值分割.实验结果证明该方法有效地实现了快速分割,并具有较好的鲁棒性.
Considering the efficient searching of genetic algorithms and the event fuzzy set theory, propose an adaptive algorithm for segmentation of the gray lever images. In the algorithm, genetic algorithm, fuzzy set theory, and fuzzy entropy are combined and used to determine the single threshold value and two threshold values of the segmentation. The experiment results show that the algorithm proposed is efficient, fast and robust.
出处
《四川大学学报(自然科学版)》
CAS
CSCD
北大核心
2004年第2期295-299,共5页
Journal of Sichuan University(Natural Science Edition)
关键词
遗传算法
模糊熵
图象分割
fuzzy entropy
genetic algorithm
image segmentation