Classification of traditional Chinese medicine constitution based on facial features in color images  

作　　者：Jian Zhang Shujuan Hou Ji Wang Lingru Li Pin Li Junwen Han Haiqiang Yao Ranran Sun Ziqing Li Zhen Lei Qi Wang 

机构地区：[1]School of Basic Medical Sciences,Beijing University of Chinese Medicine,Beijing 100029,China [2]Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China

出　　处：《Journal of Traditional Chinese Medical Sciences》2016年第3期141-146,共6页中医科学杂志（英文）

基　　金：the National Basic Research Program of China(973 Program,No.2011CB505404);National Twelfth Five-Year Plan for Science&Technology Support(No.2012BA125B05);China Postdoctoral Science Foundation(No.2014M560923).

摘　　要：Objective:To explore the possible correlation between traditional Chinese medicine(TCM)constitution and facial features in color images and to improve the accuracy of automated constitution classification.Methods:Color images were taken of 5150 individuals of different professions.Automated face detection and key point positioning were performed on the collected images,which were then transformed into a standard size.The relationship between facial features and TCM constitution based on the red,green,blue(RGB)pixel and the local binary pattern(LBP)texture features was explored.Results:The overall accuracy rate and robustness of TCM constitution classification based on RGB features were low.Classification results of the phlegm-dampness,damp-heat,blood stasis,and balance constitutions achieved high accuracy rates.Classification accuracy rate using the LBP texture feature was higher than that of the RGB feature,with the best accuracy observed for the balance constitution.Conclusion:Application of computer image acquisition and processing of facial features may serve as an adjunct to the TCM diagnostic method of inspection.

关 键 词：TCM constitution Automatic TCM diagnosis Local binary pattern 

分 类 号：R229[医药卫生—中医基础理论]