An Image Analysis System for Tongue Diagnosis in Traditional Chinese Medicine
An Image Analysis System for Tongue Diagnosis in Traditional Chinese Medicine
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DOI：
10.1007/978-3-540-30497-5_181
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发表时间：
2004-12
期刊：
影响因子：
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通讯作者：
Yonggang Wang;Yue Zhou;Jie Yang;Qing Xu
中科院分区：
文献类型：
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作者：
Yonggang Wang;Yue Zhou;Jie Yang;Qing Xu
本文介绍了一种计算机辅助舌诊系统，该系统可以减少中医诊断中不同医生诊断结果之间的较大差异，并自动量化舌诊特征。讨论了该系统中的几个关键问题和算法，涉及到一些新提出的图像分析技术：1)提出了一种新的舌色校准方案，克服了以前方法的缺点；ii)基于梯度矢量流（GVF）蛇形模型，结合舌形图像的颜色信息提取舌体；Iii)采用颜色纹理区域的无监督分割方法，定量分析舌面物质和被毛的分布。实验结果表明，该系统具有很大的应用潜力。
We introduced a computer-aider tongue examination system, which can reduce the large variation between the diagnosis results of different doctors and quantize the tongue properties automatically in traditional Chinese medicine (TCM) diagnosis. Several key issues and algorithms in this system are discussed, involving some newly proposed image analysis techniques: i) a new tongue color calibration scheme is proposed to overcome the drawbacks of the previous method; ii) a gradient vector flow (GVF) snake based model integrating the chromatic information of the tongue image is used to extract the tongue body; iii) an unsupervised segmentation method of color-texture regions is adopted to quantitatively analyze the distribution of the substance and the coat on the tongue surface. The experimental results show that the presented system has a great deal of potential for the tongue diagnosis.