[1]倪豪 韦玉科 丁明全.基于中医舌像的检索技术应用研究[J].计算机技术与发展,2010,(09):164-167.
　NI Hao,WEI Yu-ke,DING Ming-quan.Application and Research of Retrieval Techniques Based on Traditional Chinese Medicine Tongue Image[J].,2010,(09):164-167.
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基于中医舌像的检索技术应用研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2010年09期
页码:
164-167
栏目:
应用开发研究
出版日期:
1900-01-01

文章信息/Info

Title:
Application and Research of Retrieval Techniques Based on Traditional Chinese Medicine Tongue Image
文章编号:
1673-629X（2010）09-0164-04
作者:
倪豪 韦玉科 丁明全
广东工业大学计算机学院
Author(s):
NI Hao; WEI Yu-ke; DING Ming-quan
Faculty of Computer,Guangdong University of Technology
关键词:
颜色; 纹理; 舌像; 图像检索; 舌诊
Keywords:
color;  texture;  tongue image;  image retrieval;  tongue diagnosis
分类号:
TP391.4
文献标志码:
A
摘要:
中医舌诊是目前医学领域的重要前沿课题之一。为了给传统的中医舌诊提供新的方法,提出了将基于颜色和纹理的图像检索技术应用到中医舌像的检索中,并以VC＋＋为开发平台,对舌像的颜色、纹理进行特征提取与分析。实验表明,利用该技术能够准确、高效地实现舌像的分类检索,检索结果符合辩证要求。综合理论分析与实验结果,基于颜色和纹理的图像检索技术在中医舌诊中有很广的应用前景,对传统中医舌诊的继承和发展也具有很强的现实意义
Abstract:
The traditional Chinese medicine tongue diagnosis is one of the important topics at the forefront in the medical field.In order to provide a new method for traditional Chinese medicine tongue diagnosis,an image retrieval technique based on color and texture applied to traditional Chinese medicine tongue image retrieval is presented in this paper.Also use VC＋＋ as a development platform,extract and analyse the color and texture feature of tongue image.Experiments show that use this technology can accurately and efficiently achieve the classification and retrieval of the tongue image,the results were consistent with the dialectical requirement.Combination of theoretical analysis and experimental results,the technology of image retrieval based on color and texture has a wide application prospect in traditional Chinese medicine tongue diagnosis,and it also has a highly realistic significance for inheritance and development of traditional Chinese medicine tongue diagnosis

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备注/Memo

备注/Memo:
“十一五”国家科技支撑项目（2006BAI08B01-3）倪豪（1981-），男，河南息县人，硕士研究生，研究方向为图像处理、模式识别；韦玉科，副教授，博士，硕士生导师，研究方向为智能信息处理、智能控制与监测
更新日期/Last Update: 1900-01-01