DocumentCode
3095340
Title
Automatic Segmentation in Tongue Image by Mouth Location and Active Appearance Model
Author
Zhong, Xiuqin ; Fu, Hongguang ; Yang, Junhua ; Wang, Weiming
Author_Institution
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol., Chengdu, China
fYear
2009
fDate
12-14 Dec. 2009
Firstpage
413
Lastpage
417
Abstract
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.
Keywords
approximation theory; image segmentation; image texture; active appearance model; automatic tongue image segmentation; mouth location; multi initial displacement method; object texture; Active appearance model; Active shape model; Colored noise; Computer applications; Computer science; Image segmentation; Mouth; Noise shaping; Optimization methods; Tongue; AAM; automatic segmentation; mouth location; tongue image;
fLanguage
English
Publisher
ieee
Conference_Titel
Dependable, Autonomic and Secure Computing, 2009. DASC '09. Eighth IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-0-7695-3929-4
Electronic_ISBN
978-1-4244-5421-1
Type
conf
DOI
10.1109/DASC.2009.118
Filename
5380423
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