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BioMed Research International
Volume 2016, Article ID 3510807, 9 pages
http://dx.doi.org/10.1155/2016/3510807
Research Article

The Classification of Tongue Colors with Standardized Acquisition and ICC Profile Correction in Traditional Chinese Medicine

1Department of Basic Medical College, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Pudong New Area, Shanghai 201203, China
2College of Computer Science and Technology, Jilin University, Jilin 130012, China
3Shanghai Collaborative Innovation Center of Health Service in Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, 1200 Cailun Road, Shanghai 201203, China

Received 9 August 2016; Revised 20 October 2016; Accepted 30 October 2016

Academic Editor: Zexuan Ji

Copyright © 2016 Zhen Qi et al. 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. Z. Liu, J.-Q. Yan, D. Zhang, and Q.-L. Li, “Automated tongue segmentation in hyperspectral images for medicine,” Applied Optics, vol. 46, no. 34, pp. 8328–8334, 2007. View at Publisher · View at Google Scholar · View at Scopus
  2. J. Ning, D. Zhang, C. Wu, and F. Yue, “Automatic tongue image segmentation based on gradient vector flow and region merging,” Neural Computing and Applications, vol. 21, no. 8, pp. 1819–1826, 2012. View at Publisher · View at Google Scholar · View at Scopus
  3. M. F. Zhu and J. Q. Du, “A novel approach for color tongue image extraction based on random walk algorithm,” Applied Mechanics and Materials, vol. 462-463, pp. 338–342, 2014. View at Publisher · View at Google Scholar · View at Scopus
  4. N. D. Kamarudin, C. Y. Ooi, T. Kawanabe, and X. Mi, “Tongue's substance and coating recognition analysis using HSV color threshold in tongue diagnosis,” in 1st International Workshop on Pattern Recognition, vol. 10011 of Proceedings of SPIE, p. 5, Tokyo, Japan, May 2016. View at Publisher · View at Google Scholar
  5. K. H. Kim, J. H. Do, H. Ryu et al., “Tongue diagnosis method for extraction of effective region and classification of tongue coating,” in Proceedings of the 1st Workshops on Image Processing Theory, Tools and Applications (IPTA '08), pp. 1–7, Sousse, Tunisia, November 2008. View at Publisher · View at Google Scholar
  6. X. Zhiming, Y. Bao-an, and C. Xin, “Semantic object generation in tongue image analysis,” in Innovations and Advanced Techniques in Computer and Information Sciences and Engineering, T. Sobh, Ed., pp. 41–46, Springer, Dordrecht, The Netherlands, 2007. View at Google Scholar
  7. T. Obafemi-Ajayi, R. Kanawong, D. Xu, S. Li, and Y. Duan, “Features for automated tongue image shape classification,” in Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW '12), pp. 273–279, Philadelphia, Pa, USA, October 2012. View at Publisher · View at Google Scholar · View at Scopus
  8. 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
  9. B. Zhang and H. Zhang, “Significant geometry features in tongue image analysis,” Evidence-Based Complementary and Alternative Medicine, vol. 2015, Article ID 897580, 8 pages, 2015. View at Publisher · View at Google Scholar · View at Scopus
  10. Q. Li, Y. Wang, H. Liu, Z. Sun, and Z. Liu, “Tongue fissure extraction and classification using hyperspectral imaging technology,” Applied Optics, vol. 49, no. 11, pp. 2006–2013, 2010. View at Publisher · View at Google Scholar · View at Scopus
  11. 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
  12. L. Zhi, D. Zhang, J.-Q. Yan, Q.-L. Li, and Q.-L. Tang, “Classification of hyperspectral medical tongue images for tongue diagnosis,” Computerized Medical Imaging and Graphics, vol. 31, no. 8, pp. 672–678, 2007. View at Publisher · View at Google Scholar · View at Scopus
  13. Q. Li and Z. Liu, “Tongue color analysis and discrimination based on hyperspectral images,” Computerized Medical Imaging and Graphics, vol. 33, no. 3, pp. 217–221, 2009. View at Publisher · View at Google Scholar · View at Scopus
  14. Y. Wang, Y. Zhou, J. Yang, and Y. Wang, “JSEG based color separation of tongue image in traditional Chinese medicine,” in Proceedings of the 9th Iberoamerican Congress on Pattern Recognition, Progress in Pattern Recognition, Image Analysis and Applications (CIARP '04), A. Sanfeliu, J. F. Martínez Trinidad, and JA. Carrasco Ochoa, Eds., pp. 503–508, Springer, Puebla, Mexico, October 2004.
  15. T. Kawanabe, N. D. Kamarudin, C. Y. Ooi et al., “Quantification of tongue colour using machine learning in Kampo medicine,” European Journal of Integrative Medicine, 2016. View at Publisher · View at Google Scholar
  16. X. Zhang, J. Zhang, G. Hu, and Y. Wang, “Preliminary study of tongue image classification based on multi-label learning,” in Proceedings of the 11th International Conference on Advanced Intelligent Computing Theories and Applications (ICIC '15), pp. 208–220, Fuzhou, China, August 2015.
  17. Y. Jiao, X. Zhang, L. Zhuo, M. Chen, and K. Wang, “Tongue image classification based on Universum SVM,” in Proceedings of the 3rd International Conference on BioMedical Engineering and Informatics (BMEI '10), pp. 657–660, IEEE, Yantai, China, October 2010. View at Publisher · View at Google Scholar · View at Scopus
  18. S. Yamamoto, Y. Ishikawa, T. Nakaguchi et al., “Temporal changes in tongue color as criterion for tongue diagnosis in Kampo medicine,” Forschende Komplementärmedizin, vol. 19, no. 2, pp. 80–85, 2012. View at Publisher · View at Google Scholar · View at Scopus
  19. T. Oji, T. Namiki, T. Nakaguchi et al., “Study of factors involved in tongue color diagnosis by Kampo medical practitioners using the Farnsworth-Munsell 100 hue test and tongue color images,” Evidence-based Complementary and Alternative Medicine, vol. 2014, Article ID 783102, 2014. View at Publisher · View at Google Scholar · View at Scopus
  20. B. Zhang, X. Wang, J. You, and D. Zhang, “Tongue color analysis for medical application,” Evidence-Based Complementary and Alternative Medicine, vol. 2013, Article ID 264742, 11 pages, 2013. View at Publisher · View at Google Scholar · View at Scopus
  21. B. Huang and N. Li, “Pixel based tongue color analysis,” in Proceedings of the 1st International Conference Medical Biometrics (ICMB '08), D. Zhang, Ed., pp. 282–289, Springer, Hong Kong, January 2008.
  22. H. Siu Cheung, H. Yulan, and T. Doan Thi Cam, “Machine learning for tongue diagnosis,” in Proceedings of the 6th International Conference on Information, Communications & Signal Processing, pp. 1–5, Singapore, December 2007. View at Publisher · View at Google Scholar
  23. Z. Yang and N. Li, “Automatic classification of tongueprints in healthy and unhealthy individuals,” in Proceedings of the 1st International Conference on Medical Biometrics (ICMB '08), D. Zhang, Ed., pp. 137–144, Hong Kong, 2008.
  24. R. Kanawong, T. Obafemi-Ajayi, J. Yu, D. Xu, S. Li, and Y. Duan, “ZHENG classification in Traditional Chinese Medicine based on modified specular-free tongue images,” in Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW '12), pp. 288–294, IEEE, Philadelphia, Pa, USA, October 2012. View at Publisher · View at Google Scholar · View at Scopus
  25. Z. Gao, L. Po, W. Jiang, X. Zhao, and H. Dong, “A novel computerized method based on support vector machine for tongue diagnosis,” in Proceedings of the 3rd IEEE International Conference on Signal-Image Technologies and Internet-Based Systems (SITIS '07), pp. 849–854, IEEE, Shanghai, China, December 2007. View at Publisher · View at Google Scholar · View at Scopus
  26. J. H. Jang, J. E. Kim, K. M. Park, S. O. Park, Y. S. Chang, and B. Y. Kim, “Development of the digital tongue inspection system with image analysis,” in Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES/EMBS '02), vol. 2, pp. 1033–1034, Houston, Tex, USA, October 2002. View at Scopus
  27. H. Zhang, K. Wang, D. Zhang, B. Pang, and B. Huang, “Computer aided tongue diagnosis system,” in Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 7, pp. 6754–6757, IEEE Engineering in Medicine and Biology Society, Shanghai, China, 2005.
  28. S. Yamamoto, N. Tsumura, T. Nakaguchi et al., “Principal component vector rotation of the tongue color spectrum to predict ‘Mibyou’ (disease-oriented state),” International Journal of Computer Assisted Radiology and Surgery, vol. 6, no. 2, pp. 209–215, 2011. View at Publisher · View at Google Scholar · View at Scopus
  29. J.-T. Xu, Z.-F. Zhang, Z.-J. Yan et al., “Analysis of tongue color under natural daylight based on chromatic aberration correction,” Journal of Chinese Integrative Medicine, vol. 7, no. 5, pp. 422–427, 2009. View at Publisher · View at Google Scholar · View at Scopus
  30. J. T. Xu and Z. F. Zhang, “The experimental observation of tongue digital image acquisition conditions,” Chinese Journal of Basic Medicine in Traditonal Chinese Medicine, vol. 13, no. 1, pp. 23–27, 2007 (Chinese). View at Google Scholar
  31. C. Zhao, G.-Z. Li, C. Wang, and J. Niu, “Advances in patient classification for traditional chinese medicine: a machine learning perspective,” Evidence-Based Complementary and Alternative Medicine, vol. 2015, Article ID 376716, 2015. View at Publisher · View at Google Scholar · View at Scopus
  32. C. Meng and Z. Chun Lei, “The comparison study of LIBSVM, LIBLINER, SVMmulticlass,” Elextronic Technology, vol. 6, no. 1, pp. 1–5, 2015 (Chinese). View at Google Scholar
  33. L. Wu-hui, Graphic Arts Chromatology, Chemical Industry Press, Beijing, China, (Chinese) 2004.
  34. 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
  35. 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