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http://dx.doi.org/10.9708/jksci.2013.18.4.045

Development of Tongue Diagnosis System Using ASM and SVM  

Park, Jin-Woong (Dept. of Computer Engineering, Wonkwang University)
Kang, Sun-Kyung (Dept. of Computer Engineering, Wonkwang University)
Kim, Young-Un (Dept. of Computer Engineering, Wonkwang University)
Jung, Sung-Tae (Dept. of Computer Engineering, Wonkwang University)
Publication Information
Journal of the Korea Society of Computer and Information / v.18, no.4, 2013 , pp. 45-55 More about this Journal
Abstract
In this study, we propose a tongue diagnosis system which detects the tongue from face image and divides the tongue area into six areas, and finally generates tongue fur ratio of each area. To detect the tongue area from face image, we use ASM as one of the active shape models. Detected tongue area is divided into six areas and the distribution of tongue coating of six areas is examined by SVM. For SVM, we use a 3-dimensional vector calculated by PCA from a 12-dimensional vector consisting of RGB, HSV, Lab, and Luv. As a result, we stably detected the tongue area using ASM. Furthermore, we recognized that PCA and SVM helped to raise the ratio of tongue coating detection.
Keywords
Tongue Diagnosis System; Tongue Fur; PCA(Principal Component Analysis); ASM(Active Shape Model); SVM(Support Vector Machine);
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Times Cited By KSCI : 5  (Citation Analysis)
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