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作 者:李文书[1] 王松[1] 苑琳琳[1] 吴芸[2] 宋红[3] 郑小伟[3]
机构地区:[1]浙江理工大学信息电子学院计算机系,浙江杭州310018 [2]厦门理工学院计算机系,福建厦门361024 [3]浙江中医药大学基础医学院,浙江杭州310053
出 处:《上海中医药杂志》2011年第11期86-89,共4页Shanghai Journal of Traditional Chinese Medicine
基 金:国家自然科学基金资助项目(60702069);浙江省自然科学基金资助项目(Y1080851)
摘 要:面诊是中医望诊的重要部分。近几年运用人工智能、图像处理技术进行舌、脉诊客观化研究一直是研究热点,而面诊的观化研究却较少。本文从人脸图像采集、面部检测定位、面部脏腑反射区域定位、面色提取识别以及其他面部特征的识别、面诊辨证推演等方面,系统地总结了目前中医面诊所采用的技术手段,对存在的问题进行了讨论,并对未来发展趋势进行展望。Facial diagnosis, which can diagnoses human body and the partial pathological changes by inspecting the changes of the face, is an important part of inspection in TCM. In recent years,objective research on tongue and pulse diagnosis in TCM, which using artificial intelligence, image processing has been the hot topic. But few people focus on the information processing technological objective research of facial diagnosis, which is an important part of diagnosis in TCM. This article sunmarizes technical means, including the acquisition of face image, faee detection and localization, facial feature localization, the recognition of faeial com- plexion and other characters of face, and dialectical deduction in facial diagnosis systematically. Finally, it discusses the existent problems and describe the prospects for the future developing tendency of the facial diagnostic in TCM.
分 类 号:R241[医药卫生—中医诊断学] TP391.41[医药卫生—中医临床基础]
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