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Structured mean shift method and its application on image segmentation

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成果类型:
期刊论文
作者:
Xiao, Weichu;Guo, Baolong;Chen, Weihong
通讯作者:
Xiao, W.
作者机构:
[Xiao, Weichu; Chen, Weihong] School of Communication and Electronic Engineering, Hunan City University, Yiyang 413002, Hunan, China
[Xiao, Weichu; Guo, Baolong] Institute of Intelligent Control and Image Engineering, Xidian University, Xi'an 710071, Shanxi, China
通讯机构:
School of Communication and Electronic Engineering, Hunan City University, China
语种:
英文
关键词:
Connection Channel;Image Segmentation;Structured Mean Shift;Traditional Mean Shift
期刊:
Journal of Theoretical and Applied Information Technology
ISSN:
1817-3195
年:
2012
卷:
44
期:
2
页码:
271-277
机构署名:
本校为第一且通讯机构
院系归属:
信息与电子工程学院
摘要:
It was found that the traditional Mean Shift algorithm segmentation often produces the connection channel, several categories between clusters can not be completely separated from the problem, an improved classification of the structured mean shift segmentation algorithm iterations to obtain the initial cluster in center on the basis of different bandwidth matrix stepwise clustering, resulting in a different class collection of cluster centers, and the establishment of a vested in the tree structure, ultimately through the attribution of the leaf nodes and the root node are classified in order...

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