Unified video annotation via multigraph learning
IEEE Transactions on Circuits and Systems for Video Technology
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Acne has become a problem which people increasingly focus on since its high incidence and the scar after cure, etc. With the advantage of no scar and no side effects, Traditional Chinese Medicine (TCM) in treatment of acne by tongue diagnosis has gained more and more attention. Due to its qualitative, subjective and experience-based nature, and the type of acne is various, traditional diagnosis has a very limited application in clinical medicine. Moreover, traditional tongue diagnosis is always concerned with the identification of syndromes rather than with the connection between tongue abnormal appearances and diseases. In this paper, we proposed a novel tongue diagnosis analysis method based on HSV color space aiming to diagnose three common type of acne tongue. With this method, not only can extract the color characteristics of the tongue, it also preliminarily integrates the information of tongue coating, tongue body and color characteristics into the one-dimensional histogram; Meanwhile, Gray level Co-occurrence Matrix(GLCM) is applied to extract five commonly used features of tongue coating. Results show that the method can get the desired classification effect successfully.