{"title":"人眼图像处理的现代技术和技术","authors":"A. Dabrowski","doi":"10.23919/SPA.2018.8563426","DOIUrl":null,"url":null,"abstract":"Imaging technologies and techniques of the human eye are used for both biometric and medical-diagnostic applications. Among various types of the eye images the following can be distinguished: iris images, fundus images, and various optical coherence tomography (OCT) scans. Contemporary processing approaches to all of these image types are reviewed and analyzed together with a discussion of their applications. Advanced image processing methods and algorithms, including the artificial intelligence approach, developed at the Division of Signal Processing and Electronic Systems of the Pozna� University of Technology for the considered applications, are presented. The proposed solutions are characterized by a good effectiveness and accuracy in the support of appropriate biometric and clinical decisions.","PeriodicalId":265587,"journal":{"name":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":"271 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Contemporary technologies and techniques for processing of human eye images\",\"authors\":\"A. Dabrowski\",\"doi\":\"10.23919/SPA.2018.8563426\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Imaging technologies and techniques of the human eye are used for both biometric and medical-diagnostic applications. Among various types of the eye images the following can be distinguished: iris images, fundus images, and various optical coherence tomography (OCT) scans. Contemporary processing approaches to all of these image types are reviewed and analyzed together with a discussion of their applications. Advanced image processing methods and algorithms, including the artificial intelligence approach, developed at the Division of Signal Processing and Electronic Systems of the Pozna� University of Technology for the considered applications, are presented. The proposed solutions are characterized by a good effectiveness and accuracy in the support of appropriate biometric and clinical decisions.\",\"PeriodicalId\":265587,\"journal\":{\"name\":\"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)\",\"volume\":\"271 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/SPA.2018.8563426\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/SPA.2018.8563426","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Contemporary technologies and techniques for processing of human eye images
Imaging technologies and techniques of the human eye are used for both biometric and medical-diagnostic applications. Among various types of the eye images the following can be distinguished: iris images, fundus images, and various optical coherence tomography (OCT) scans. Contemporary processing approaches to all of these image types are reviewed and analyzed together with a discussion of their applications. Advanced image processing methods and algorithms, including the artificial intelligence approach, developed at the Division of Signal Processing and Electronic Systems of the Pozna� University of Technology for the considered applications, are presented. The proposed solutions are characterized by a good effectiveness and accuracy in the support of appropriate biometric and clinical decisions.