摘要
研究计算机舌象分析方法 ,对推动中医舌诊的进一步发展、促进中医现代化的进程具有重要的意义。本文基于学习矢量量化 (LVQ)神经网络分类器 ,实现了舌象分析中的舌色、苔色自动分类。在分类器的设计中 ,提出了基于“2σ”准则的训练样本筛选方法 ,并采用 Fisher比率作为色度空间选择的依据 ,有效提高了分类正确率。实验表明 ,采用本文方法能够获得与中医专家相一致的结果。
Automatic tongue analysis will be of important meaning for traditional chinese medicine to develop, promote modernization. Tongue color automatic classification, based on LVQ neural networks classifier, is proposed in this paper. In the design of the tongue color classifier, training samples selection based on the rule of “2σ” is proposed, and Fisher Ratio is used as a basis in color space selection, such that the accuracy of the classifier is improved. Experiments showed that the results obtained with this method are in accordance with those of the experts of traditional chinese medicine.
出处
《北京生物医学工程》
2000年第3期136-141,共6页
Beijing Biomedical Engineering
基金
国家自然科学基金!资助 (项目编号 :6 99710 0 4 )
关键词
舌象分析
医学图像处理
舌色
苔色
Tongue analysis, Medical image processing, LVQ neural network, Training samples selection, Feature selection
