期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2020
卷号：2
期号：1
页码：68-73
语种：English
出版社：IJAEM JOURNAL
摘要：Glaucoma arisedue to increased level of intraocular pressure in eye. If they are not detected, it will cause permanent blindness. Symptoms of glaucoma are not accessible. The patients take treatment when the condition reach serious. Glaucoma can be reduced by early detection and analysis.This paper proposes automated glaucoma diagnosis method using feature extracted from Naive bayes and Gabor filter applied on digital fundus images. In this work, images are used to classify into normal and glaucoma classes.
