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基于手机终端的舌诊色差校正函数模型研究
引用本文:王尉荧,王璐,徐怀瑾,魏宏德,许家佗. 基于手机终端的舌诊色差校正函数模型研究[J]. 中华中医药杂志, 2021, 0(2): 1020-1024
作者姓名:王尉荧  王璐  徐怀瑾  魏宏德  许家佗
作者单位:上海中医药大学曙光临床医学院;上海中医药大学龙华临床医学院;上海中医药大学岳阳临床医学院;上海中医药大学基础医学院
基金项目:国家自然科学基金项目(No.81873235);国家重点研发计划中医药现代化研究重点专项项目(No.2017YFC1703300)。
摘    要:目的:探讨建立基于手机终端的舌象图像色差校正函数模型.方法:本研究以TDA-1型小型舌诊仪为参照标准,通过5种不同型号的手机设备在实验最优条件下,对349例舌象进行标准色卡L*a*b*色值采集与分析,建立并优化反向传播(BP)神经网络模型.结果:分析舌诊仪与不同手机拍摄标准色卡所得平均色差值,筛选P牌手机进行临床采样....

关 键 词:舌诊色差校正  BP神经网络  手机终端  舌象  函数模型

Study on the functional model of color calibration of tongue diagnosis based on mobile phone terminal
WANG Wei-ying,WANG Lu,XU Huai-jin,WEI Hong-de,XU Jia-tuo. Study on the functional model of color calibration of tongue diagnosis based on mobile phone terminal[J]. China Journal of Traditional Chinese Medicine and Pharmacy, 2021, 0(2): 1020-1024
Authors:WANG Wei-ying  WANG Lu  XU Huai-jin  WEI Hong-de  XU Jia-tuo
Affiliation:(Shuguang Clinical Medical College,Shanghai University of Traditional Chinese Medicine,Shanghai 201203,China;Longhua Clinical Medical College,ShanghaiUniversity of Traditional Chinese Medicine.Shanghai 201203,China;Yueyang Clinical Medical College,Shanghai University of Traditional Chinese Medicine,Shanghai 201203.China;Basic Medicine College,Shanghai University of Traditional Chinese Medicine,Shanghai 201203,China)
Abstract:Objective:To explore the establishment of a function model for color calibration based on the tongue image of a mobile phone terminal.Methods:In this study,the TDA-1 small tongue imager was used as a reference standard,and the standard color card L*a*b*color value collection and analysis were carried out through 5 different types of mobile phone devices under the optimal conditions of the experiment.Then we built and optimized the BP neural network model.Results:Analyze the average color difference value obtained by the tongue diagnostic instrument and different mobile phones for shooting standard color cards,and screen the P brand mobile phones for clinical sampling.Corrected by BP neural network,the difference between tongue quality,tongue fur color value and standard value was significantly reduced(P<0.05).After correction,ΔE was significantly reduced(P<0.01),and the color boundary was clear.Conclusion:The predicted output values of this model are close to the L*a*b*values obtained by the TDA-1 small tongue imager.So the correction model can effectively perform color difference correction to improve the accuracy of the color value about the tongue image based on mobile phone.
Keywords:Color calibration of tongue diagnosis  Back-propagation algorithm  Mobile phone terminal  Tongue image  Function model
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