Research on Fuzzy Clustering Image Segmentation Algorithm based on GA and Gray Histogram

被引：0

作者：

Wang, Baoyi ^{[1
]}

Kang, Long ^{[1
]}

Zhang, Shaomin ^{[1
]}

机构：

[1] North China Elect Power Univ, Sch Control & Comp Engn, Baoding 071003, Peoples R China

来源：

PROCEEDINGS OF THE 2015 3RD INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND INFORMATION TECHNOLOGY APPLICATIONS | 2015年 / 35卷

关键词：

Image Segmentation; Genetic Algorithm; FCM; Gray Histogram;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

When the traditional FCM algorithm is applied to image segmentation, it is sensitive to the selection of clustering center and can not automatically determine the number of clustering center. According to these problems, this paper proposes a fuzzy clustering image segmentation algorithm based on genetic algorithm and gray histogram. This algorithm uses the global search characters of genetic algorithm to avoid falling into local optimal solution, and the objective function is optimized and the number of the cluster center is determined by gray histogram. Experimental results show that the proposed method has strong robustness and good segmentation effect.

引用

页码：550 / 555

页数：6