Segmenting Image Based on Fuzzy Alternation Entropy and Genetic Algorithm

摘要：

In this paper, in order to overcome the deficiencies of Polanas method and fuzzy alternation entropy method, we presented a technique of image segmentation based on fuzzy alternation entropy and genetic algorithm. The experiment results show that our method is robust and effective.

关键词： Fuzzy Alternation Entropy Genetic Algorithm Polanas Method Image Segmentation

作者: Youfu Wu Jianjun Zuo Jing Wu

作者单位: Guizhou University for Nationalities, 550025 Huaxi, Guiyang,China The Hong Kong Polytechnic University

会议类型: 国际会议

会议名称: 2011 Eighth International Conference on Fuzzy System and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2011)

会议地点: 上海

会议语种:英文

页码: 904-907

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）