[1]李晓冰. 基于自适应模糊加权指数的FCM聚类测量图像分割方法[J].红外技术,2013,35(03):146-149.
 LI Xiao-bing. A FCM Segmentation Method of Measurement of Image Based on Adaptive Coefficient of Fuzzy Weight[J].Infrared Technology,2013,35(03):146-149.
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 基于自适应模糊加权指数的FCM聚类测量图像分割方法
分享到:

《红外技术》[ISSN:1001-8891/CN:CN 53-1053/TN]

卷:
35卷
期数:
2013年03期
页码:
146-149
栏目:
出版日期:
2013-03-30

文章信息/Info

Title:
 A FCM Segmentation Method of Measurement of Image Based on Adaptive Coefficient of Fuzzy Weight
文章编号:
1001-8891(2013)03-0146-04
作者:
 李晓冰
92941部队
Author(s):
 LI Xiao-bing
PLA Unit 92941
关键词:
图像分割FCM聚类模糊加权指数收敛速度测量图像
Keywords:
 image segmentationFCMcoefficient of fuzzy weightconvergence ratemeasurement image
分类号:
TP391.4
文献标志码:
A
摘要:
 

针对采用FCM聚类进行测量图像分割时,模糊加权指数难以确定的问题,通过分析FCM聚类原理,依据测量图像分割的具体要求,

根据加权指数对不同模糊聚类过程的作用程度,提出了一种基于自适应模糊加权指数的FCM聚类测量图像分割方法。实验结果表明:该

算法可以减少聚类迭代次数,确保分类的准确性,提高图像分割质量。

Abstract:

Aiming at the difficulty to confirm the coefficient of fuzzy weight when segmentation measurement image by

FCM method, this paper analyses the theory of FCM. According to the requests of measurement image segmentation and the

effect of the coefficient of fuzzy weight, a FCM segmentation method for measurement of image based on the adaptive

coefficient of fuzzy weight is proposed. Experiment results show that this method can reduce the times of the

iteration, insure the veracity and improve the quality of the segmentation.

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备注/Memo

备注/Memo:
 收稿日期:2011-09-05.
作者简介:李晓冰,男,(1967-),高级工程师,工学硕士,主要研究方向为光学测量图像处理。
更新日期/Last Update: 2013-04-01