| 中医数字化舌象客观特征分析研究现状分析 |
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| 引用本文： | 张季,钱峻,王瑞娟,董海艳,周金海.中医数字化舌象客观特征分析研究现状分析[J].世界科学技术-中医药现代化,2014,16(11):2420-2424. |
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| 作者姓名： | 张季 钱峻 王瑞娟 董海艳 周金海 |
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| 作者单位： | 南京中医药大学信息技术学院 南京 210023;南京中医药大学基础医学院 南京 210023;南京中医药大学信息技术学院 南京 210023;南京中医药大学信息技术学院 南京 210023;南京中医药大学信息技术学院 南京 210023 |
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| 基金项目： | 江苏省中医药局科技项目（LZ13026）：基于分形理论的智能舌象诊断推理模型的建立及系统的实现，负责人：张季。 |
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| 摘 要： | 采用计算机科学技术演绎推导中医学理论是中医学客观化发展，进而推动其国际化发展的强有力的技术方案。本文针对中医学特色诊法之一——中医舌诊在进行客观化研究过程中，以中医舌诊辨识舌象的相关内容及指标为依据，对应现阶段实现数字化舌象客观特征分析过程中所涉及到的计算机相关科学技术，即数字图像处理技术及数据库技术在该研究领域内的应用现状进行梳理分析。
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| 关 键 词： | 数字舌图 舌诊客观化 图像分割 特征分析 |
| 收稿时间： | 2014/4/26 0:00:00 |
| 修稿时间： | 2014/6/16 0:00:00 |
Research Status of Objective Characteristics of TCM Digitized Tongue |
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| Zhang Ji,Qian Jun,Wang Ruijuan,Dong Haiyan and Zhou Jinhai.Research Status of Objective Characteristics of TCM Digitized Tongue[J].World Science and Technology-Modernization of Traditional Chinese Medicine,2014,16(11):2420-2424. |
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| Authors: | Zhang Ji Qian Jun Wang Ruijuan Dong Haiyan and Zhou Jinhai |
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| Institution: | Information Technology Institute, Nanjing University of Traditional Chinese Medicine, Nanjing 210023, China;Basic Medical Institute, Nanjing University of Traditional Chinese Medicine, Nanjing 210023, China;Information Technology Institute, Nanjing University of Traditional Chinese Medicine, Nanjing 210023, China;Information Technology Institute, Nanjing University of Traditional Chinese Medicine, Nanjing 210023, China;Information Technology Institute, Nanjing University of Traditional Chinese Medicine, Nanjing 210023, China |
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| Abstract: | Computer science and technology has been used to promote the development of objectification of traditional Chinese medicine (TCM), which is also required for international development of TCM. In this paper, on the basis of current situation of Chinese medicine tongue objective research, the analysis was made on involved computer-related technology, relevant standards, and the future trend was discussed. |
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| Keywords: | Digital tongue objectivity of tongue inspection image segmentation feature analysis |
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