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
收藏
页码：311 / 316
页数：6
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