Basic Research for the Recognition Algorithm of Tongue Coatings for Implementing a Digital Automatic Diagnosis System

디지털 자동 설진 시스템 구축을 위한 설태 인식 알고리즘 기초 연구

  • Published : 2009.02.25

Abstract

The status and the property of a tongue are the important indicators to diagnose one's health like physiological and clinicopathological changes of inner organs. However, the tongue diagnosis is affected by examination circumstances like a light source, patient's posture, and doctor's condition. To develop an automatic tongue diagnosis system for an objective and standardized diagnosis, classifying tongue coating is inevitable but difficult since the features like color and texture of the tongue coatings and substance have little difference, especially in the neighborhood on the tongue surface. The proposed method has two procedures; the first is to acquire the color table to classify tongue coatings and substance by automatically separating coating regions marked by oriental medical doctors, decomposing the color components of the region into hue, saturation and brightness and obtaining the 2nd order discriminant with statistical data of hue and saturation corresponding to each kind of tongue coatings, and the other is to apply the tongue region in an input image to the color table, resulting in separating the regions of tongue coatings and classifying them automatically. As a result, kinds of tongue coatings and substance were segmented from a face image corresponding to regions marked by oriental medical doctors and the color table for classification took hue and saturation values as inputs and produced the classification of the values into white coating, yellow coating and substance in a digital tongue diagnosis system. The coating regions classified by the proposed method were almost the same to the marked regions. The exactness of classification was 83%, which is the degree of correspondence between what Oriental medical doctors diagnosed and what the proposed method classified. Since the classified regions provide effective information, the proposed method can be used to make an objective and standardized diagnosis and applied to an ubiquitous healthcare system. Therefore, the method will be able to be widely used in Oriental medicine.

Keywords

References

  1. C.-C. Chiu. A novel approach based on computerized image analysis for traditional Chinese medical diagnosis of the tongue. Computer Methods and Programs in Biomedicine 61: 77-89, 2000 https://doi.org/10.1016/S0169-2607(99)00031-0
  2. 高橋楊子. 舌診の基礎. 日本 市川, 東洋学術出版社, pp 13-64, 2007
  3. 이봉교. 한방진단학. 서울, 성보사, pp 72-86, 1996
  4. X.-Q. Yue, Q. Liu. Analysis of studies on pattern recognition of tongue image in traditional Chinese medicine by computer technology. J. Chin. Integr. Med. 2(5):326-329, 2004 https://doi.org/10.3736/jcim20040503
  5. B. Pang, D. Zhang. Computerized tongue diagnosis based on bayesian networks. IEEE Trans. Biomedical Engineering. 51(10):1803-1810, 2004 https://doi.org/10.1109/TBME.2004.831534
  6. H.Z. Zhang, K.Q. Wang, D. Zhang, B. Pang, B. Huang. Computer aided tongue diagnosis system. Proc. the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, Shanghai, China, pp 6754-6757, 2005 https://doi.org/10.1109/IEMBS.2005.1616055
  7. 中, '중의 계량화 연구' 추진. 글로벌동향브리핑(GTB), KISTI, 2008년 5월 4일
  8. L. Sun, Z. Cheng, H. Xie, Study on objective tongue diagnosis using computerized image recognition technique. J. Anhui Traditional Chinese Medical College 5(4):5-7, 1989
  9. 최은지, 김근호, 유현희, 이혜정, 김종열. 백태 중 후태 및 박태 분류 판별함수 설계. 한국한의학연구원 논문지, 13(3): 119-124, 2007
  10. 이전, 최은지, 유현희, 이혜정, 이유정, 박경모, 김종열. 다차원 컬러벡터 기반 백태 및 황태 분류 판별함수 설계. 한국한의학연구원 논문지, 27(2):47-52, 2007
  11. 김제균. 디지털 설진 시스템의 개발. 수원, 경희대학교 학사논문, 2005년
  12. Design Premium. http://www.adobe.com
  13. Color Conversion Formulas. http://www.easyrgb.com/math.html
  14. M. Sonka, V. Hlavac, R. Boyle. Image Processing, Analysis, and Machine Vision (2nd edition). Pacific Grove, ITP, pp 297-303, 1999
  15. 한학용. 패턴인식 개론. 서울, 한빛미디어, pp 167-180, 2006
  16. J. Foley, A, van Dam, S, Feiner, J, Hughes. Computer Graphics: Principles and Practice (2nd edition). USA, Addison-Wesley, pp 721-812, 1996
  17. B. Pham, Y. Caib. Visualization Techniques for Tongue Analysis in Traditional Chinese Medicine. Medical Imaging 2004: Visualization, Image-Guided Procedures, and Display, 5367, pp 171-180, 2004