基于支持向量机的中医望诊唇色自动分类

Automatic Classification of Lip Color Based on SVM in Traditional Chinese Medicine Inspection

在中医望诊理论中,口唇的颜色与人体的健康状况息息相关。传统的口唇颜色判断方法主要依靠医生目视观察进行判断分析,其诊断结果既受医生知识水平、诊断经验的限制,又受当时光线、温度等外部环境的影响,缺乏客观评价依据。本文提出一种基于支持向量机(SVM)的唇色自动分类方法:首先,在HSI颜色空间中提取9个唇色特征;然后,选择不同的特征组合对唇色进行分类。通过比较实验结果,发现均值特征是区别唇色的重要特征之一。当选择H、S、I的均值和方差这六个特征时,分类的整体效果较好;另外,实验结果还表明并不是特征越多分类效果就越好。

The lip color of a person is closely related to his or her health in the visual diagnosis of traditional Chinese medicine（TCM）.The traditional method to judge the color of lips is through observing by a TCM doctor. The diagnosis result is affected not only by the doctor＇s knowledge and diagnosis experience,but also by the light,temperature and other environmental impacts.For these reasons,sometimes different doctors may make different judgement for the same lips.So it is urgently needed that an objective evaluation as reference for doctors can be obtained.A method based on support vector machine（SVM） that classifies lip color by computer automatically is presented in the present paper.Firstly,nine features of lip color in Hue,Saturation and Intensity（HSI） color space were extracted.Then,according to different combinations of these features five different experiments were conducted.By comparing the results of these experiments,it was discovered that the mean value is one of the most important features for the lip color.The overall effect of classification is better when the mean value and variance of HSI were chosen than other characteristics.In addition,experiments results demonstrated that the accuracy rate of classification is not improved when more features were adopted.The objective of the present paper is to select the appropriate characteristics and to combine them effectively to classify lip colors.