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Development of Tongue Diagnosis System Using ASM and SVM

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2013, 18(4), pp.45-55
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

박진웅 1 Kang Sun-Kyung 1 김영운 1 Jung, Sung-Tae 1

1원광대학교

Accredited

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.

Citation status

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