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| 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/article | |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess |
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