面向计算机辅助舌诊关键问题的解决方案综述

doi:10.11896/jsjkx.200800223

计算机科学 ›› 2021, Vol. 48 ›› Issue (7): 256-269.doi: 10.11896/jsjkx.200800223

面向计算机辅助舌诊关键问题的解决方案综述

张丽倩¹, 李孟航¹, 高珊珊^1,2,3, 张彩明^2,4,5

1 山东财经大学计算机科学与技术学院济南250014
2 山东省数字媒体技术重点实验室济南250014
3 山东省中美数字媒体国际合作研究中心济南250014
4 山东大学软件学院济南250101
5 山东省未来智能计算协同创新中心山东烟台264025

收稿日期:2020-08-31 修回日期:2020-11-07 出版日期:2021-07-15 发布日期:2021-07-02
通讯作者: 高珊珊(gsszxy@aliyun.com)
基金资助:
NSFC-浙江两化融合联合基金(U1909210,U1609218);国家自然科学基金(61772309,61902217);山东省重点研发计划(2017GGX10109,2019GGX101007);山东省省属优青项目(ZR2018JL022);山东省高等学校青创人才引育计划

Summary of Computer-assisted Tongue Diagnosis Solutions for Key Problems

ZHANG Li-qian¹, LI Meng-hang¹, GAO Shan-shan^1,2,3, ZHANG Cai-ming^2,4,5

1 School of Computer Science and Technology,Shandong University of Finance and Economics,Jinan 250014,China
2 Shandong Provincial Key Laboratory of Digital Media Technology,Jinan 250014,China
3 Shandong China-U.S.Digital Media International Cooperation Research Center,Jinan 250014,China
4 School of Software,Shandong University,Jinan 250101,China
5 Shandong Province Future Intelligent Computing Collaborative Innovation Center,Yantai,Shandong 264025,China

Received:2020-08-31 Revised:2020-11-07 Online:2021-07-15 Published:2021-07-02
About author:ZHANG Li-qian,born in 1995,postgraduate,is a member of China Computer Federation.Her main research interests include image identification and so on.(819334791@qq.com)
GAO Shan-shan,born in 1980,Ph.D,professor,Ph.D supervisor,is a member of China Computer Federation. Her main research interests include Computer graphics,image processing,intelligent information processing and visua-lization.
Supported by:
NSFC-Zhejiang Joint Fund of the Integration of Informatization and Industrialization(U1909210,U1609218),National Natural Science Foundation of China(61772309,61902217),Key Research and Development Project of Shandong Province(2017GGX10109,2019GGX101007),Shandong Provincial University Excellent Young Talents Joint Fund(ZR2018JL022) and Introduction and Education Plan of Young Creative Talents in Colleges and Universities of Shandong Province.

摘要/Abstract

摘要： 舌诊是“望、闻、问、切”四诊中的重要内容之一,也是我国中医诊法的一大特色。中医医师需要通过肉眼观察进行临床诊断,这使得传统舌诊具有主观依赖性强、缺乏定量化的缺点。随着智慧医疗的发展,研究人员着重研究如何借助计算机进行舌象的辅助诊断,实现智能舌诊,进而实现智慧中医。近年来,智能舌诊的相关研究逐渐成为热点。为了辅助该领域的研究学者对计算机辅助舌诊进行更深入的探索,文中对其进行了系统、全面的综述。首先介绍了中医舌象计算机辅助诊断的具体流程;其次,在广泛调研现有文献、最新成果及已有应用的基础上,分别对计算机辅助舌诊不同步骤的主流方法进行了分类讨论,归纳总结了基本思想和优缺点;然而列举了部分目前已研发出的舌象分析系统,设计并实现了一个较为完备的计算机辅助舌诊系统;最后总结全文并展望了未来可能的发展方向。

关键词: 辅助舌诊, 舌体分割, 舌象分析系统, 苔质分离, 特征提取

Abstract: Tongue diagnosis is one of the important contents of the four diagnostic methods of “looking,listening,asking and fee-ling the pulse”,and it is also a major feature of TCM (traditional Chinese medicine) diagnosis.TCM physicians need to make clinical diagnosis through visual observation,which makes traditional tongue diagnosis have the disadvantages of strong subjective dependence and lack of quantification.With the development of Wise Information Technology of 120 (WIT 120),researchers have focused on how to use computers to assist in the diagnosis of tongue images,realize intelligent tongue diagnosis,and then realize smart Chinese medicine.In recent years,the intelligent tongue diagnosis and its relevant research have become more and more popular.In order to assist researchers in this field to explore computer-aided tongue diagnosis in a more in-depth manner,this paper systematically and comprehensively reviewed them.Firstly,the specific process of computer-aided diagnosis of tongue image of traditional Chinese medicine is introduced.Secondly,based on the extensive study on the existing literature,the latest achievements and existing applications,this paper classifies and discusses different steps of computer-aided tongue diagnosis in mainstream methods,and summarizes the basic ideas,advantages and disadvantages of these methods.Then a relatively complete Computer-aided tongue diagnosis system is designed and implemented after enumerating some tongue image analysis systems that have been developed so far.Finally,this paper summarizes and prospects the possible development direction in the future.

Key words: Assisted tongue diagnosis, Feature extraction, Tongue analysis system, Tongue coating and body separation, Tongue segmentation

中图分类号:

TP391

张丽倩, 李孟航, 高珊珊, 张彩明. 面向计算机辅助舌诊关键问题的解决方案综述[J]. 计算机科学, 2021, 48(7): 256-269. https://doi.org/10.11896/jsjkx.200800223

ZHANG Li-qian, LI Meng-hang, GAO Shan-shan, ZHANG Cai-ming. Summary of Computer-assisted Tongue Diagnosis Solutions for Key Problems[J]. Computer Science, 2021, 48(7): 256-269. https://doi.org/10.11896/jsjkx.200800223

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面向计算机辅助舌诊关键问题的解决方案综述

Summary of Computer-assisted Tongue Diagnosis Solutions for Key Problems

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