Analysis of patent trends of computerized tongue diagnosis systems

설진 시스템 특허동향 분석

  • Received : 2013.09.17
  • Accepted : 2013.10.28
  • Published : 2013.08.31

Abstract

Objectives Tongue diagnosis is an important diagnostic method in traditional Eastern medicine, and it has a high potential to be used in the future healthcare because of easy, quick, and non-contact measuring features. Recently, research and development efforts on computerized tongue diagnosis systems (CTDS) have been active that led to the technical advancements in the field of photographing techniques, image extraction and classification algorithms. In this study, we analyzed the trends in the CTDS patents. Using the WIPS search engine (www.wipsglobal.com), quantitative and qualitative patent analyses were performed through Korea, China, Japan, U.S.A and Europe. Methods For a systematic search and data analysis, we defined patent categories based on the application area and technical details. By applying thus-obtained categorical key words, we obtained 360 relevant patents on photographing techniques, image extraction and classification algorithms for the purpose of diagnosis or security. Results As a result, companies related to image acquisition, medical imaging and mobile devices and research groups of universities in East Asia were major patent applicants. In all the five countries, the number of patents have been increasing since 1980. In particular, technology related to color correction and image segmentation were most actively patented categories, and expected to continue a high application rate.

Keywords

References

  1. 홍순석. 중의진단학. 서울, 군자출판사, 2009, 48-64.
  2. 백승희, 박종현, 이승우. 舌診의 증례보고. 제한 동의학술원 논문집. 1999; 4: 389-399.
  3. Jung CJ, Jeon YJ, Kim JY, Kim KH. Review on the current trends in tongue diagnosis systems. Integrative Medicine Research. 2012; 1: 13-20. https://doi.org/10.1016/j.imr.2012.09.001
  4. Adams R. Seeded region growing. The IEEE Transactions on Pattern Analysis and Machine Intelligence. 1994; 16: 641-647. https://doi.org/10.1109/34.295913
  5. Kass M, Witkin A, Terzopoulos D. Snakes: Active contour models. in Proc. Int. Conf. Computer Vision. 1987; 259-269.
  6. Tanaka HT. On surface curvature computation from level set contours. in Proc. Int. Conf. Pattern Recognition. 1990; 155-160.