Abstract
Tongue image matching is an important part for a tongue diagnosis system. Unlike common pattern recognition problems, it is hard to define the ground truth for tongue image matching because visual inspection of tongue by doctors is determined by the experience and knowledge of them. Here we propose to use, Mean Rank, as an objective and scientific criterion to evaluate matching performance. Instigating from color demosaicking, a new color texture operator, Primary Difference Signal Local Binary Pattern is proposed. The matching performance is evaluated on color, gray-scale and color texture, and fusion of color and texture features.
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References
Li, M.M., et al.: The contemporary investigations of computerized tongue diagnosis. In: The Handbook of Chinese Tongue Diagnosis, Peking, pp. 1315–1317. Shed-Yuan Publishing (1994)
Yang, C.: A novel imaging system for tongue inspection. In: Proc. IEEE-IMTC, pp. 159–163 (2002)
Chiu, C.C.: A novel approach based on computerized image analysis for traditional Chinese medical diagnosis of the tongue. Comput. M. PR. 61(2), 77–89 (2000)
Yuen, P.C., Kuang, Z.Y., Wu, W., Wu, Y.T.: Tongue texture analysis using opponent color features for tongue diagnosis in traditional Chinese medicine. In: Proc. TAMV, pp. 21–27 (1999)
Pang, B., Zhang, D., Li, N.M., Wang, K.Q.: Computerized Tongue Diagnosis Based on Bayesian Networks. IEEE Trans. Biomedical Engineering 51(10), 1803–1810 (2004)
Li, C.H., Yuen, P.C.: Tongue image matching using color content. Pattern Recognition 35(2), 407–419 (2002)
Zhu, W., Zhou, C., Xu, D., Xu, J.: A multi-feature CBIR Method Using in the Traditional Chinese Medicine Tongue Diagnosis. In: Proc. ISPCA, pp. 831–836 (2006)
Qin, J., Meng, J., Wu, G., Liu, H.: The retrieval of the medical tongue-coating images using fuzzy CMAC neural network. In: Proc. ICIT, pp. 14–17 (2005)
Wei, C.H., Li, C.T., Wilson, R.: A content-based approach to medical image database retrieval. Database Modeling for Industrial Data Management, pp. 258–292. Idea Group publishing, USA (2005)
Funt, B.V., Finlayson, G.D.: Color Constant Color Indexing. IEEE Trans. Pattern Anal. Mach. Intell 17(5), 522–529 (1995)
Ho, T., Hull, J., Srihari, S.: Decision combination in multiple classifier systems. IEEE Trans. Pattern Anal. Mach. Intell 16(1), 66–75 (1994)
Zhang, L., Wu, X.: Color Demosaicking Via Directional Linear Minimum Mean Square-Error Estimation. IEEE Trans. Image Processing 14, 2167–2178 (2005)
Maenpaa, T., Pietikainen, M.: Classification with color and texture: jointly or separately. Pattern Recognition 37, 1640–1692 (2004)
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Guo, Z. (2007). Tongue Image Matching Using Color and Texture. In: Zhang, D. (eds) Medical Biometrics. ICMB 2008. Lecture Notes in Computer Science, vol 4901. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77413-6_35
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DOI: https://doi.org/10.1007/978-3-540-77413-6_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77410-5
Online ISBN: 978-3-540-77413-6
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