Research on Techniques of Multifeatures Extraction for Tongue Image and Its Application in Retrieval

• Main Authors: Liyan Chen, Beizhan Wang, Zhihong Zhang, Fan Lin, Yihan Ma
• Format: Article
• Language: English
• Published: Hindawi Limited 2017-01-01
• Series: Computational and Mathematical Methods in Medicine
• Online Access: http://dx.doi.org/10.1155/2017/8064743

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.