| 引用本文: |
张仕娜, 盛博洋, 夏帅帅, 高远, 晏峻峰.基于中医舌色变化比较分析的自我健康监测方法研究[J].湖南中医药大学学报,2024,44(8):1468-1475[点击复制] |
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| 基于中医舌色变化比较分析的自我健康监测方法研究 |
| 张仕娜,盛博洋,夏帅帅,高远,晏峻峰 |
| (湖南中医药大学中医学院, 湖南 长沙 410208;湖南中医药大学信息科学与工程学院, 湖南 长沙 410208) |
| 摘要: |
| 目的 为了预防未知疾病对个人健康造成的损害以及减少个人健康监测的成本，依据中医舌色变化能反映人类诸多疾病的原理，提出一种基于舌色变化比较分析的自我健康监测方法。方法 通过图像采集设备采集个人舌象，利用深度学习和传统图像处理技术，借助RGB与CIE Lab色彩模型的转换关系，获得舌色的特征值，建立自我健康标准舌象数据库。采集新的舌象，通过异向缩放模板匹配原理从数据库中找出最佳匹配模板，通过差分比较分析法得到新采集的舌象与最佳匹配的模板舌象的舌色变化特征值，结合定量参数设置范围进行自我健康监测。通过自我舌象异常仿真实验验证所提方法的有效性。结果 通过自我舌象数据库构建、异向缩放模板匹配、舌色差分分析等技术实现了自我舌色变化阈值的设置，并能提取新采集的舌象图像的舌色，将之与标准舌象数据库中的舌色进行差分，再将差分值与已设定阈值比较，从而监测健康。异常仿真实验验证了所提方法的有效性和实用性。结论 基于中医舌色变化比较分析的自我健康监测方法能简便地对个人健康状态进行监控，同时对中医舌诊的客观化发展起到一定的推进作用。 |
| 关键词: 舌色 自我健康监测 深度学习 模板匹配 差分比较分析法 |
| DOI：10.3969/j.issn.1674-070X.2024.08.016 |
| 投稿时间：2024-01-14 |
| 基金项目:国家自然科学基金面上项目（82274588）；湖南省教育厅重点项目（21A0250）；湖南中医药大学研究生创新课题项目（2022CX02）；湖南省研究生科研创新项目（QL20220183）。 |
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| Self-health monitoring method based on comparative analysis of tongue color changes in TCM |
| ZHANG Shina, SHENG Boyang, XIA Shuaishuai, GAO Yuan, YAN Junfeng |
| (School of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China;School of Informatics, Hunan University of Chinese Medicine, Changsha, Hunan 410208, China) |
| Abstract: |
| Objective According to the principle that tongue color changes in Chinese medicine indicate human diseases, to propose a self-health monitoring method based on the comparative analysis of tongue color changes, so as to prevent the damage of unknown diseases to personal health and reduce the cost of personal health monitoring. Methods Personal tongue images were collected by image acquisition equipment. Using deep learning and traditional image processing technology, as well as leveraging the conversion relationship between RGB and CIE Lab color models, the characteristic value of tongue color was obtained to establish a self-health standard tongue image database. The new tongue image was collected, and the best matching template was identified from the database through the principle of anisotropic scaling template matching. Then the characteristic values of the tongue color changes of the newly collected tongue image and the best matching template tongue image were obtained through the difference comparison analysis method, and the self-health monitoring was carried out combined with the setting range of quantitative parameters. The effectiveness of the proposed method was finally verified by self-tongue anomaly simulation experiments. Results The setting of self-tongue color change thresholds was achieved through techniques such as self-tongue image database construction, anisotropic scaling template matching, and tongue color difference analysis. The tongue color of newly acquired tongue images can be extracted, the difference with the tongue colors in the standard tongue image database can be calculated, and the difference values can be compared with the set threshold value to monitor health. The validity and practicability of the proposed method was verified by the anomaly simulation experiments. Conclusion The self-health monitoring method based on the comparative analysis of tongue color changes in TCM can conveniently monitor personal health status, and play a certain role in promoting the objectification development of TCM tongue diagnosis. |
| Key words: tongue color self-health monitoring deep learning template matching differential comparative analysis |
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