| 图像分割技术在中医舌诊客观化研究中的应用 |
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| 引用本文： | 王郁中,杨杰,周越,郑元杰,王忆勤. 图像分割技术在中医舌诊客观化研究中的应用[J]. 生物医学工程学杂志, 2005, 22(6): 1128-1133 |
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| 作者姓名： | 王郁中 杨杰 周越 郑元杰 王忆勤 |
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| 作者单位： | 1. 上海交通大学,图像处理与模式识别研究所,上海,200030
2. 上海中医药大学,上海,200032 |
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| 基金项目： | 上海市重点项目“中医四诊客观化研究” |
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| 摘 要： | 舌诊是中医四诊的主要内容,是辨证论治的主要依据。客观化研究对中医辨证规范化及中医临床、教学和科研手段的现代化具有重要意义。对舌诊客观化研究中涉及的图像预处理的重要内容——舌体分割提取和舌苔舌质同类区域划分——进行了深入研究,提出了相应算法,通过实验充分证明了算法具有很好的鲁棒性。这给进一步的自动特征提取提供了保障和重要信息。
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| 关 键 词： | 舌诊客观化 舌体分割 梯度矢量流 舌质舌苔同类区域划分 颜色量化 区域增长 |
| 收稿时间： | 2003-07-25 |
| 修稿时间： | 2003-07-252003-12-24 |
Image Segmentation in Tongue Characterization |
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| Wang Yuzhong,Yang Jie,Zhou Yue,Zheng Yuanjie,Wang Yiqin. Image Segmentation in Tongue Characterization[J]. Journal of biomedical engineering, 2005, 22(6): 1128-1133 |
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| Authors: | Wang Yuzhong Yang Jie Zhou Yue Zheng Yuanjie Wang Yiqin |
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| Affiliation: | 1.Institute of Image Processing and Pattern Rerognition, Shanghai diaotong University,Shanghai 200030,China; 2.Shanghai University of T. C. M, Shanghai, 200032,China |
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| Abstract: | Tongue diagnosis is one of the essential methods of traditional Chinese medical diagnosis.The accuracy of tongue diagnosis can be improved by tongue characterization.Tongue area segmentation and homogeneous regions segmentation in tongue are important contents of preprocess of tongue image.An algorithm based on edge detection and Gradient vector flow(GVF) active contour for tongue area segmentation and another algorithm based on unsupervised segmentation of color-texture for homogeneous regions segmentation in tongue were presented.Totally about 1500 tongue images were collected.Results of tongue area segmentation achieved accuracy rate of 94.3% and results of homogeneous regions segmentation in tongue were approved by traditional Chinese medical experts.The experiments results show robustness of the algorithms.This work establishes solid foundation for feature selecting of Tongue diagnosis. |
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| Keywords: | Tongue characterization Tongue area segmentation Gradient vector flow(GVF) Homogeneous regions segmentation in tongue Color quantization Region growing |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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