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
Link To Document :
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