Automatic Segmentation in Tongue Image by Mouth Location and Active Appearance Model

被引:3
|
作者
Zhong, Xiuqin [1 ]
Fu, Hongguang [1 ]
Yang, Junhua [2 ]
Wang, Weiming [3 ]
机构
[1] Univ Elect Sci & Technol, Sch Engn & Comp Sci, Chengdu, Peoples R China
[2] Chinese Acad Sci, Chengdu Inst Comp Applicat, Chengdu, Peoples R China
[3] Jiangsu Univ Sci & Technol, Sch Engn & Comp Sci, Zhengzhou, Peoples R China
来源
EIGHTH IEEE INTERNATIONAL CONFERENCE ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING, PROCEEDINGS | 2009年
关键词
mouth location; AAM; automatic segmentation; tongue image;
D O I
10.1109/DASC.2009.118
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
We demonstrate a novel method to segment the tongue image automatically with the mouth location method and active appearance model (AAM). With the help of a particular feature of the mouth, we could locate the dark hole's position easily and quickly. For the close relationship between the mouth and tongue, we would predict the approximate area of the tongue. Then we apply the AAM to segment the tongue from the image completely, which uses texture and shape of an object. During the AAM search, we constrain the initial displacement and size in the approximate area. For those images that failed to locate the mouth, we use a multi-initial displacement method during the AAM search to optimize the result. The experiment shows that our method is accurate and effective.
引用
收藏
页码:413 / +
页数:2
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