期刊文献+

中医面诊信息自动识别方法研究进展 被引量:12

Progress Research on Automatic Recognition Method of Face Diagnosis Information in Traditional Chinese Medicine
下载PDF
导出
摘要 目的:基于图像信息自动识别方法对中医面诊客观化发展做出总结与展望。方法:通过文献查阅、资料梳理,系统概括出中医面诊客观化的研究进展。结果:结合计算机识别技术对人脸图像进行信息采集、人脸分割、区域定位、特征提取与识别、四诊合参进行梳理,并归纳面诊检测技术在实际应用中的推广使用情况,对存在的问题进行讨论与分析,并对中医面诊技术的未来发展趋势进行展望。结论:随着中医诊断方法与现代科学技术相结合,中医面诊的研究与应用取得了较大进展,为面诊客观化和标准化做出了一定贡献。 Objective: Based on image information automatic recognition method, the objective development of face diagnosis of traditional Chinese medicine (TCM) is summarized and prospected. Methods: Through the literature review, data combing, the system summarizes the research progress of the objectification of face diagnosis in TCM. Results : Combining with computer recognition technology, the face image information collection, face segmentation, regional positioning, feature extraction and recognition, combined useing of the four diagnostic methods are summarized, and the application of face detection technology in the actual application of the promotion and use, the existing problems are discussed and analyzed, and the future development trend of the face diagnosis technology of traditional Chinese medicine is prospected. Conclusion : With the combination of TCM and modern science and technology, the research and application of face diagnosis of TCM has made great progress, and made some contribution to the objectification and standardization of face diagnosis.
作者 宋海贝 温川飙 SONG Hai-bei, WEN Chuan-biao(Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, Chin)
机构地区 成都中医药大学
出处 《成都中医药大学学报》 2018年第1期5-8,共4页 Journal of Chengdu University of Traditional Chinese Medicine
基金 国家中医药管理局中医药健康服务信息化项目(SATCM-2016-JKFW-XXH05) 四川省科技厅科技支撑计划项目(2013SZ0185) 成都中医药大学科技发展基金项目(030038127)
关键词 面诊 人脸分割 特征提取 四诊合参 客观化 Facial diagnosis Face segmentation Feature extraction Combined useing of the four diagnostic methods Objectification
  • 相关文献

参考文献26

二级参考文献161

共引文献163

同被引文献178

引证文献12

二级引证文献72

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部