Tongue-coating image segmentation based on combination of morphological gradient and watershed algorithms

被引：0

作者：

Zhang, L. ^{[2
]}

Qin, J. ^{[3
]}

Zeng, Y. J. ^{[1
]}

机构：

[1] Beijing Univ Technol, Ctr Biomed Engn, Beijing 100022, Peoples R China

[2] Guangdong Univ Technol, Comp Fac, Guangzhou 510006, Guangdong, Peoples R China

[3] Sun Yat Sen Univ, Affiliated Hosp 1, TCM Dept, Guangzhou 510080, Guangdong, Peoples R China

来源：

IMAGING SCIENCE JOURNAL | 2011年 / 59卷 / 06期

关键词：

watershed algorithm; morphological gradient; multi-scale;

D O I：

10.1179/174313111X13148057597125

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

The segmentation of tongue-coating images is very important to computer-aided traditional Chinese medicine (TCM) clinic diagnosis system. By now, algorithms for this segmentation are in low-accuracy or high-complexity. Upon the edge-gradient feature of tongue-coating images, a new segmenting method is presented in this paper, which combines edge and region processing technologies. With the new method, the multi-scale morphological gradient images of the original images are taken firstly, and then watershed algorithm is used to segment them so that tongue-coating images are separated. The following experimental results show this method's effectiveness and efficiency.

引用

页码：311 / 316

页数：6

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