ARIAS: Automated Retinal Image Analysis System

El-Bendary, Nashwa; Hassanien, Aboul Ella; Corchado Rodríguez, Emilio Santiago; Berwick, Robert

Título

dc.contributor.author	El-Bendary, Nashwa
dc.contributor.author	Hassanien, Aboul Ella
dc.contributor.author	Corchado Rodríguez, Emilio Santiago
dc.contributor.author	Berwick, Robert
dc.date.accessioned	2017-09-06T09:14:30Z
dc.date.available	2017-09-06T09:14:30Z
dc.date.issued	2011
dc.identifier.citation	Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011 Advances in Intelligent and Soft Computing. Advances in Intelligent and Soft Computing. Volumen 87, pp. 67-76.
dc.identifier.isbn	978-3-642-19643-0 (Print) / 978-3-642-19644-7 (Online)
dc.identifier.issn	1867-5662 (Print)/ 1867-5670 (Online)
dc.identifier.uri	http://hdl.handle.net/10366/134883
dc.description.abstract	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.
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.publisher	Springer Science + Business Media
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject	Computer Science
dc.title	ARIAS: Automated Retinal Image Analysis System
dc.type	info:eu-repo/semantics/conferenceObject
dc.rights.accessRights	info:eu-repo/semantics/openAccess