Title :
Automatic segmentation in tongue image by mouth location and active appearance model
Author :
Zhong, Xiu-Qin ; Fu, Hong-Guang ; Yang, Jun-Hua
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol., Chengdu, China
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 :
image segmentation; image texture; active appearance model; automatic segmentation; image texture; mouth location method; multi-initial displacement method; tongue image; Active appearance model; Active shape model; Colored noise; Computer applications; Computer science; Electronic mail; Image converters; Image segmentation; Mouth; Tongue; AAM; Mouth location; automatic segmentation; tongue image;
Conference_Titel :
Apperceiving Computing and Intelligence Analysis, 2009. ICACIA 2009. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5204-0
Electronic_ISBN :
978-1-4244-5206-4
DOI :
10.1109/ICACIA.2009.5361086