{"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}
引用次数: 1
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.