Facial Features Extraction for Sasang Constitution Classification

사상채질 분류를 위한 안면부내 특징 요소 추출

  • Bae, Na-Yeong (Department of Sasang Medicine, College of Oriental Medicine, Daejeon Univ.) ;
  • An, Taek-Won (Department of Sasang Medicine, College of Oriental Medicine, Daejeon Univ.) ;
  • Jo, Dong-Uk (College of Science & Technology, Chungbuk Provincial Univ.) ;
  • Lee, Hwa-Seop (Department of Sasang Medicine, College of Oriental Medicine, Daejeon Univ.)
  • 배나영 (대전대학교 한의과대학 사상의학과) ;
  • 안택원 (대전대학교 한의과대학 사상의학과) ;
  • 조동욱 (충북과학대학 정보통신과학과) ;
  • 이화섭 (대전대학교 한의과대학 사상의학과)
  • Published : 2005.08.31

Abstract

1. Objectives The purpose of this study is to objectify the diagnosis of Sasang Constitution. Using the methods of this study, it will improve to classificate Sasang Constitution. 2. Methods 1) Automatic feature extraction of human frontal faces for Sasang Constitution classification. 2) Color feature extraction of human frontal faces (1)Erosion filtering (skin-white, the other-black) (2) Median median 3. Results and Conclusions Observing a person's shape has been the major method for Sasang Constitution classification, which usually has been dependent upon doctor's intuition as of these days. We are developing an automatic system which provides objective basic data for Sasang Constitution classification. For this, in this paper, firstly, the signal processing techniques are applied to automatic feature extraction of human frontal faces for Sasang Constitution classification. The experiment is conducted to verify the effectiveness of the proposed system.

Keywords