Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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Development of Tongue Diagnosis System Using ASM and SVM

ASM과 SVM을 이용한 설진 시스템 개발

  • 박진웅 (원광대학교 컴퓨터공학과) ;
  • 강선경 (원광대학교 컴퓨터공학과) ;
  • 김영운 (원광대학교 컴퓨터공학과) ;
  • 정성태 (원광대학교 컴퓨터공학과)
  • Received : 2013.01.01
  • Accepted : 2013.03.25
  • Published : 2013.04.30
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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.

본 논문에서는 설진을 위하여 얼굴 영상으로부터 혀 영역을 추출하고, 혀 영역을 6개 세부 영역으로 분할한 다음 영역별 설태 비율을 검출하는 방법을 제안한다. 얼굴 영상으로부터 혀 영역을 추출하기 위해 능동적 형태 모델방법의 하나인 ASM을 이용하였다. 검출된 혀 영역을 한의학에서 사용하는 일반적인 6개 영역으로 분할하였고, 분할된 영역 내에서의 설태 분포 정도를 SVM을 이용하여 검출하였다. SVM 분류 시 특징 벡터로는 RGB, HSV, Lab, Luv로 구성된 12차원의 벡터로부터 주성분 분석을 통하여 구해진 3차원의 벡터를 사용하였다. 실험 결과 ASM을 사용하여 혀 영역을 안정적으로 검출할 수 있었고 주성분 분석과 SVM을 활용함으로써 설태 검출율이 높아짐을 알 수 있었다.

Keywords

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