Abstract
A method of computerized tongue image analysis based on image processing for the purpose of digitizing the tongue properties in traditional Chinese medical diagnosis is presented. A hybrid method which uses Support Vector Machine to extract the semantic object, and a combination kernal function is selection after many compare. Finite Mixture Model and many image process methods is applied into diagnosis system. The experiment of the system shows that methods proposed are effective. The following results are presented in the article: 1) A multiply semantic image model is built our literature, which contributes abundant character to determine disease. 2) The SVM classifications are applied to transaction from the lower level to the top ones. The complex of the SVM classifications depends on the sample number rather than the characteristic dimension, which can satisfy the requirement of the system. 3) An application implements the approaches mentioned by the literature is introduced, through which the effect of the model are proved.
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Zhiming, X., Bao-an, Y., xin, C. (2007). Semantic Object Generation in Tongue Image Analysis. In: Sobh, T. (eds) Innovations and Advanced Techniques in Computer and Information Sciences and Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6268-1_8
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DOI: https://doi.org/10.1007/978-1-4020-6268-1_8
Publisher Name: Springer, Dordrecht
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