{"title":"中医肝病眼诊断仪眼表眼底摄影光路切换及调节机制研究","authors":"Renhui Peng, Lubin Hang, Hua Zhang, Sulong Li, Pengcheng Zhang, Shisen Lin, Cheng Lu, Borui Wu","doi":"10.1145/3438872.3439099","DOIUrl":null,"url":null,"abstract":"Design of intelligent eye diagnosis system for liver diseases according to traditional Chinese medicine theory, eye observation is an important diagnosis method, which can reflect liver disease syndromes through the image features of ocular surface and fundus. In view of the fact that, eye diagnosis of liver disease mostly relies on the experience of doctors and lack objective quantitative indicators in traditional medicine, a new wearable intelligent eye diagnosis system for liver diseases in traditional Chinese medicine is designed. Based on the near-infrared visible light dual light path, an internal focusing adjustment structure with fundus and ocular surface integrated photography system is constructed. The near-infrared light path completes the observation and focusing of the camera on the fundus and oscular surface to obtain photos. The internal focusing structure compensates the diopter of the human eye to obtain a clear fundus image. The system consists of automatic collection of eye pictures, intelligent generation of atlas and digital diagnosis equipment. The work in this paper lays foundation to established, and the intelligent diagnosis of eye disease syndrome is realized with the help of image processing technology.","PeriodicalId":199307,"journal":{"name":"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence","volume":"258 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Light Path Switching and Adjustment Mechanism of Ocular Surface and Fundus Photography for TCM Liver Disease Eye Diagnostic Instrument\",\"authors\":\"Renhui Peng, Lubin Hang, Hua Zhang, Sulong Li, Pengcheng Zhang, Shisen Lin, Cheng Lu, Borui Wu\",\"doi\":\"10.1145/3438872.3439099\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Design of intelligent eye diagnosis system for liver diseases according to traditional Chinese medicine theory, eye observation is an important diagnosis method, which can reflect liver disease syndromes through the image features of ocular surface and fundus. In view of the fact that, eye diagnosis of liver disease mostly relies on the experience of doctors and lack objective quantitative indicators in traditional medicine, a new wearable intelligent eye diagnosis system for liver diseases in traditional Chinese medicine is designed. Based on the near-infrared visible light dual light path, an internal focusing adjustment structure with fundus and ocular surface integrated photography system is constructed. The near-infrared light path completes the observation and focusing of the camera on the fundus and oscular surface to obtain photos. The internal focusing structure compensates the diopter of the human eye to obtain a clear fundus image. The system consists of automatic collection of eye pictures, intelligent generation of atlas and digital diagnosis equipment. The work in this paper lays foundation to established, and the intelligent diagnosis of eye disease syndrome is realized with the help of image processing technology.\",\"PeriodicalId\":199307,\"journal\":{\"name\":\"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence\",\"volume\":\"258 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3438872.3439099\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3438872.3439099","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Light Path Switching and Adjustment Mechanism of Ocular Surface and Fundus Photography for TCM Liver Disease Eye Diagnostic Instrument
Design of intelligent eye diagnosis system for liver diseases according to traditional Chinese medicine theory, eye observation is an important diagnosis method, which can reflect liver disease syndromes through the image features of ocular surface and fundus. In view of the fact that, eye diagnosis of liver disease mostly relies on the experience of doctors and lack objective quantitative indicators in traditional medicine, a new wearable intelligent eye diagnosis system for liver diseases in traditional Chinese medicine is designed. Based on the near-infrared visible light dual light path, an internal focusing adjustment structure with fundus and ocular surface integrated photography system is constructed. The near-infrared light path completes the observation and focusing of the camera on the fundus and oscular surface to obtain photos. The internal focusing structure compensates the diopter of the human eye to obtain a clear fundus image. The system consists of automatic collection of eye pictures, intelligent generation of atlas and digital diagnosis equipment. The work in this paper lays foundation to established, and the intelligent diagnosis of eye disease syndrome is realized with the help of image processing technology.