{"title":"Automated location of optic disk and fovea in color fundus images","authors":"A. Guven, Ayse Ozturk Oner, S. Kara","doi":"10.1109/BIYOMUT.2009.5130351","DOIUrl":null,"url":null,"abstract":"Medical image analysis to aid in clinical diagnosis is one of the research areas currently drawing intense interests of scientists. The retinal fundus photographs are widely used in the diagnosis and treatment of various eye diseases in clinics. OD detection is a main step while developing automated screening systems for a lot of eye diseases. This study describes the methods to detect OD and fovea regions main features of fundus images. To determine the OD we find the brightest part of the fundus. The candidate region of fovea is defined and area circle. The detection of fovea is done by using its spatial relationship with OD.","PeriodicalId":119026,"journal":{"name":"2009 14th National Biomedical Engineering Meeting","volume":"30 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 14th National Biomedical Engineering Meeting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BIYOMUT.2009.5130351","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
Medical image analysis to aid in clinical diagnosis is one of the research areas currently drawing intense interests of scientists. The retinal fundus photographs are widely used in the diagnosis and treatment of various eye diseases in clinics. OD detection is a main step while developing automated screening systems for a lot of eye diseases. This study describes the methods to detect OD and fovea regions main features of fundus images. To determine the OD we find the brightest part of the fundus. The candidate region of fovea is defined and area circle. The detection of fovea is done by using its spatial relationship with OD.
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