2026-09-15T13:39:17Zhttps://gredos.usal.es/oai/request

oai:gredos.usal.es:10366/1348832025-04-30T20:38:01Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134811

El-Bendary, Nashwa Hassanien, Aboul Ella Corchado Rodríguez, Emilio Santiago Berwick, Robert 2011 In this paper, a system for automated analysis of retinal images is proposed. This system segments blood vessels in retinal images and recognizes the main features of the fundus on digital color images. The recognized features were defined as blood vessels, optic disc, and fovea. An algorithm called 2D matched filters response has been proposed for the detection of blood vessels. Also, automatic recognition and localization methods for optic disc and fovea have been introduced and discussed. Moreover, a method for detecting left and right retinal fundus images has been presented. application/pdf http://hdl.handle.net/10366/134883 en Springer Science + Business Media ARIAS: Automated Retinal Image Analysis System info:eu-repo/semantics/conferenceObject TEXT Gredos. Repositorio Documental de la Universidad de Salamanca Hispana