Research of Image Segmentation Algorithm Based on Clustering

被引：0
|
作者：
Wan Pu [1 ]
Wang Lisha [1 ]
机构：
[1] Zhaotong Univ, Inst Phys, Zhaotong, Yunnan, Peoples R China
来源：
PROCEEDINGS OF THE 2016 2ND WORKSHOP ON ADVANCED RESEARCH AND TECHNOLOGY IN INDUSTRY APPLICATIONS | 2016年 / 81卷
关键词：
image segmentation; clustering; FCM; edge detection; adaptive threshold;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Through the study of existing image segmentation algorithms, this paper improves the standard FCM-based image segmentation algorithm. And according to the principles of effective treatment on neighborhood image noise by mean filtering and median filtering, proposes a new similarity distance calculation method, which gives full consideration to the gray information and neighborhood information of pixels. Experimental results show that this improved algorithm has higher segmentation efficiency, while having a high segmentation accuracy and strong noise immunity.
引用
收藏
页码：217 / 222
页数：6
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