Fuzzy c-means image segmentation algorithm based on chaotic simulated annealing

被引：0
|
作者：
Yang, Qing [1 ]
Wang, Zhiqiang [1 ]
Xu, Yan [1 ]
机构：
[1] Ordnance Engn Coll, Shijiazhuang, Peoples R China
来源：
ADVANCED DEVELOPMENT IN AUTOMATION, MATERIALS AND MANUFACTURING | 2014年 / 624卷
关键词：
Fuzzy c-means; Chaotic simulated annealing; Global optimization searching; Image segmentation;
D O I：
10.4028/www.scientific.net/AMM.624.536
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Considering the problem that the traditional fuzzy c-means(FCM) image segmentation algorithm is often caught in a specific range in local search and fails to get the globally optimal solution, this paper proposed a modified FCM algorithm based on chaotic simulated annealing(CSA). It traverse all the states without repetition within a certain range to calculate the optimal solution. Experimental results show that our method converges more quickly and accurately to the global optimal and proves a promise global optimization method of high adaptability and feasibility.
引用
收藏
页码：536 / 539
页数：4
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