Fuzzy Clustering Segmentation Algorithm Research on Flame Image

被引：0

作者：

Liu Bin ^{[1
]}

Zhang Xin ^{[1
]}

Qie Jianmin ^{[1
]}

Gao Yuehua ^{[1
]}

Huang Yali ^{[1
]}

机构：

[1] Hebei Univ, Coll Elect & Informat Engn, Baoding 071002, Peoples R China

来源：

PROCEEDINGS OF 2009 CONFERENCE ON COMMUNICATION FACULTY | 2009年

关键词：

image segmentation; FCM; flame image;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, linking with the basic principle of FCM (Fuzzy c-means clustering) algorithm, on the basis of theory research, a method of the cluster analysis of FCM is proposed. Firstly, the approximate optimal solution obtained by the improved FCM algorithm is taken as the original value of the FCM algorithm, then carrying on the local search to obtain the global optimal solution. The final segmentation result is achieved at last. The experiment results prove that in the view of the flame image segmentation, this method shows the good clustering performance and fast convergence rate, and has the widespread serviceability, so it is the practical method in image segmentation.

引用

页码：133 / 136

页数：4