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Tongue Image Identification System on Congestion of Fungiform Papillae (CFP)

机译：真菌状乳突充血的舌图像识别系统

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摘要

Tongue diagnosis is a unique and important diagnostic method in Traditional Chinese Medicine (TCM). It is used to observe abnormal changes in the tongue for identifying diseases. However, due to its qualitative, subjective and experience-based nature, traditional tongue diagnosis has very limited applications in clinical medicine. To date, no work has sought to automatically recognize a distinctive diagnostic and textural feature of the tongue, Congestion of Fungiform Papillae (CFP) on the middle of tongue surface. In this paper, we present a novel computerized tongue inspection system for identifying the presence or absence of CFP images. We first define and partition a region of interest (ROI) for texture acquisition. After preprocessing for reflective points, we apply the Gabor filter banks and Bayesian Network to identify the texture blocks. Finally, a fusion strategy is employed to model the relationship between the image classes and the presence of CFP. The results are promising.
机译：舌诊是中医独特而重要的诊断方法。它用于观察舌头的异常变化以识别疾病。然而，由于其定性，主观和基于经验的性质，传统的舌头诊断在临床医学中的应用非常有限。迄今为止，还没有任何工作试图自动识别舌头的独特诊断和质地特征，即舌表面中央的真菌状乳头状充血（CFP）。在本文中，我们提出了一种新颖的计算机化舌检系统，用于识别是否存在CFP图像。我们首先定义并划分感兴趣区域（ROI）以进行纹理获取。在对反射点进行预处理之后，我们应用Gabor滤波器组和贝叶斯网络来识别纹理块。最后，采用融合策略对图像类别与CFP的存在之间的关系进行建模。结果令人鼓舞。

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