Features for automated tongue image shape classification

Tayo Obafemi-Ajayi, R. Kanawong, Dong Xu, Shao Li, Y. Duan
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引用次数: 14

Abstract

Inspection of the tongue is a key component in Traditional Chinese Medicine. Chinese medical practitioners diagnose the health status of a patient based on observation of the color, shape, and texture characteristics of the tongue. The condition of the tongue can objectively reflect the presence of certain diseases and aid in the differentiation of syndromes, prognosis of disease and establishment of treatment methods. Tongue shape is a very important feature in tongue diagnosis. A different tongue shape other than ellipse could indicate presence of certain pathologies. In this paper, we propose a novel set of features, based on shape geometry and polynomial equations, for automated recognition and classification of the shape of a tongue image using supervised machine learning techniques. We also present a novel method to correct the orientation/deflection of the tongue based on the symmetry of axis detection method. Experimental results obtained on a set of 303 tongue images demonstrate that the proposed method improves the current state of the art method.
特点自动舌图像形状分类
检查舌头是中医的一个重要组成部分。中医通过观察舌头的颜色、形状和质地特征来诊断病人的健康状况。舌的状态可以客观地反映某些疾病的存在,有助于辨证、预测疾病的预后和制定治疗方法。舌形是舌诊中一个非常重要的特征。不同的舌头形状而不是椭圆形可能表明存在某些疾病。在本文中,我们提出了一组新的特征,基于形状几何和多项式方程,用于使用监督机器学习技术对舌头图像的形状进行自动识别和分类。本文还提出了一种基于对称轴检测方法的舌向偏转校正方法。在一组303张舌图像上的实验结果表明,所提出的方法改进了目前的技术水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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