Chen Liyan, Wang Beizhan, Zhang Zhihong, Lin Fan
Software School of Xiamen University, Xiamen 361005, China.
Comput Math Methods Med. 2017;2017:8064743. doi: 10.1155/2017/8064743. Epub 2017 Mar 30.
Tongue diagnosis is one of the important methods in the Chinese traditional medicine. Doctors can judge the disease's situation by observing patient's tongue color and texture. This paper presents a novel approach to extract color and texture features of tongue images. First, we use improved GLA (Generalized Lloyd Algorithm) to extract the main color of tongue image. Considering that the color feature cannot fully express tongue image information, the paper analyzes tongue edge's texture features and proposes an algorithm to extract them. Then, we integrate the two features in retrieval by different weight. Experimental results show that the proposed method can improve the detection rate of lesion in tongue image relative to single feature retrieval.
舌诊是中医重要的诊断方法之一。医生可通过观察患者的舌色和质地来判断病情。本文提出了一种提取舌图像颜色和质地特征的新方法。首先，我们使用改进的广义劳埃德算法（Generalized Lloyd Algorithm，GLA）来提取舌图像的主颜色。考虑到颜色特征不能完全表达舌图像信息，本文分析了舌边缘的纹理特征并提出了一种提取算法。然后，我们在检索中通过不同权重将这两种特征进行整合。实验结果表明，相对于单特征检索，该方法能够提高舌图像中病变的检测率。
