Image Segmentation Based on Cloud Concept Analysis

被引：0

作者：

Qin, Kun ^{[1
]}

Wu, Fangfang ^{[1
]}

Xu, Kai ^{[1
]}

Li, Deyi ^{[2
]}

机构：

[1] Wuhan Univ, Sch Remote Sensing & Informat Engn, Wuhan 430079, Peoples R China

[2] Inst Elect Syst Engn, Beijing, Peoples R China

来源：

2010 6TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS NETWORKING AND MOBILE COMPUTING (WICOM) | 2010年

关键词：

Image segmentation; Cloud model; Cloud transformation; Pan concept tree;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes a novel method of image segmentation based on cloud concept analysis. The histogram of image is transformed into modes expressed by cloud models, and an image pan concept tree representing different granularities is generated by concept ascending. Image segmentation is accomplished through choosing proper granularities and corresponding concept hierarchy. Experimental results and comparisons with other methods confirm the validity of the proposed method.

引用

页数：4

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