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Evidence-Based Complementary and Alternative Medicine
Volume 2015 (2015), Article ID 897580, 8 pages
http://dx.doi.org/10.1155/2015/897580
Research Article

Significant Geometry Features in Tongue Image Analysis

Department of Computer and Information Science, University of Macau, Taipa, Macau

Received 9 July 2014; Accepted 26 September 2014

Academic Editor: Guo-Zheng Li

Copyright © 2015 Bob Zhang and Han Zhang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. B. Kirschbaum, Atlas of Chinese Tongue Diagnosis, Eastland Press, Seattle, Wash, USA, 2000.
  2. W. Kacera, Ayurvedic Tongue Diagnosis, Lotus Press, 2nd edition, 2006.
  3. N. M. Li, The Contemporary Investigations of Computerized Tongue Diagnosis, The Handbook of Chinese Tongue Diagnosis, Shed-Yuan Publishing, Beijing, China, 1994.
  4. N. Li, D. Zhang, and K. Wang, Tongue Diagnostics, Shed-Yuan Publishing, Beijing, China, 2006.
  5. G. Maciocia, Tongue Diagnosis in Chinese Medicine, Eastland Press, Seattle, Wash, USA, 1995.
  6. C.-C. Chiu, “Development of a computerized tongue diagnosis system,” Biomedical Engineering—Applications, Basis and Communications, vol. 8, no. 4, pp. 342–350, 1996. View at Google Scholar · View at Scopus
  7. 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, vol. 61, no. 2, pp. 77–89, 2000. View at Publisher · View at Google Scholar · View at Scopus
  8. Y.-G. Wang, J. Yang, Y. Zhou, and Y.-Z. Wang, “Region partition and feature matching based color recognition of tongue image,” Pattern Recognition Letters, vol. 28, no. 1, pp. 11–19, 2007. View at Publisher · View at Google Scholar · View at Scopus
  9. B. Li, Q. Huang, Y. Lu, S. Chen, R. Liang, and Z. Wang, “A method of classifying tongue colors for traditional chinese medicine diagnosis based on the CIELAB color space,” in Proceedings of the International Conference on Medical Biometrics, pp. 153–159, 2007.
  10. X. Wang and D. Zhang, “Statistical tongue color distribution and its application,” in Proceedings of the International Conference on Computer and Computational Intelligence, 2011.
  11. D. Zhang, Automated Biometrics: Technologies and Systems, Kluwer Academic Publishers, Boston, Mass, USA, 2000.
  12. D. Zhang, B. Pang, N. Li, K. Wang, and H. Zhang, “Computerized diagnosis from tongue appearance using quantitative feature classification,” The American Journal of Chinese Medicine, vol. 33, no. 6, pp. 859–866, 2005. View at Publisher · View at Google Scholar · View at Scopus
  13. H.-Z. Zhang, K.-Q. Wang, X.-S. Jin, and D. Zhang, “SVR based color calibration for tongue image,” in Proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC '05), pp. 5065–5070, August 2005. View at Scopus
  14. Y. Zhang, R. Liang, Z. Wang, Y. Fan, and F. Li, “Analysis of the color characteristics of tongue digital images from 884 physical examination cases,” Journal of Beijing University of Traditional Chinese Medicine, vol. 28, pp. 73–75, 2005. View at Google Scholar
  15. C. H. Li and P. C. Yuen, “Tongue image matching using color content,” Pattern Recognition, vol. 35, no. 2, pp. 407–419, 2002. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  16. W. Su, Z. Y. Xu, Z. Q. Wang, and J. T. Xu, “Objectified study on tongue images of patients with lung cancer of different syndromes,” Chinese Journal of Integrative Medicine, vol. 17, no. 4, pp. 272–276, 2011. View at Publisher · View at Google Scholar · View at Scopus
  17. K. Q. Wang, D. Zhang, N. M. Li, and B. Pang, “Tongue diagnosis based on biometric pattern recognition technology,” in Pattern Recognition from Classical to Modern Approaches, S. K. Pal and A. Pal, Eds., pp. 575–598, World Scientific Publishing, 1st edition, 2001. View at Google Scholar
  18. B. Pang, D. Zhang, and K. Wang, “Tongue image analysis for appendicitis diagnosis,” Information Sciences, vol. 175, no. 3, pp. 160–176, 2005. View at Publisher · View at Google Scholar · View at Scopus
  19. B. Pang, D. Zhang, and K. Wang, “The bi-elliptical deformable contour and its application to automated tongue segmentation in chinese medicine,” IEEE Transactions on Medical Imaging, vol. 24, no. 8, pp. 946–956, 2005. View at Publisher · View at Google Scholar · View at Scopus
  20. E. K. Pae and A. A. Lowe, “Tongue shape in obstructive sleep apnea patients,” Angle Orthodontist, vol. 69, no. 2, pp. 147–150, 1999. View at Google Scholar · View at Scopus
  21. B. Huang, J. Wu, D. Zhang, and N. Li, “Tongue shape classification by geometric features,” Information Sciences, vol. 180, no. 2, pp. 312–324, 2010. View at Publisher · View at Google Scholar · View at Scopus
  22. X. Wang and D. Zhang, “An optimized tongue image color correction scheme,” IEEE Transactions on Information Technology in Biomedicine, vol. 14, no. 6, pp. 1355–1364, 2010. View at Publisher · View at Google Scholar · View at Scopus
  23. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, Wiley-Interscience, New York, NY, USA, 2nd edition, 2000. View at MathSciNet