2024-03-28T18:36:00Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1348832022-02-07T15:35:49Zcom_10366_122575com_10366_4512com_10366_3823col_10366_134811
El-Bendary, Nashwa
b53640e1-4681-4f96-9225-a9f8f21c6102
500
Hassanien, Aboul Ella
b24765b1-87de-44de-a465-92d6cd656d60
500
Corchado RodrÃguez, Emilio Santiago
842
500
Berwick, Robert
e6ca6226-3b5a-4389-9109-268c2631616f
500
2017-09-06T09:14:30Z
2017-09-06T09:14:30Z
2011
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.
978-3-642-19643-0 (Print) / 978-3-642-19644-7 (Online)
1867-5662 (Print)/ 1867-5670 (Online)
http://hdl.handle.net/10366/134883
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
en
Springer Science + Business Media
Attribution-NonCommercial-NoDerivs 3.0 Unported
https://creativecommons.org/licenses/by-nc-nd/3.0/
info:eu-repo/semantics/openAccess
Computer Science
ARIAS: Automated Retinal Image Analysis System
info:eu-repo/semantics/article
TEXT
arias_automated_image_retina_analysis.pdf.txt
arias_automated_image_retina_analysis.pdf.txt
Extracted text
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https://gredos.usal.es/bitstream/10366/134883/5/arias_automated_image_retina_analysis.pdf.txt
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ORIGINAL
arias_automated_image_retina_analysis.pdf
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https://gredos.usal.es/bitstream/10366/134883/1/arias_automated_image_retina_analysis.pdf
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LICENSE
license.txt
text/plain
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https://gredos.usal.es/bitstream/10366/134883/2/license.txt
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THUMBNAIL
arias_automated_image_retina_analysis.pdf.jpg
arias_automated_image_retina_analysis.pdf.jpg
IM Thumbnail
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https://gredos.usal.es/bitstream/10366/134883/3/arias_automated_image_retina_analysis.pdf.jpg
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10366/134883
oai:gredos.usal.es:10366/134883
2022-02-07 16:35:49.803
Gestión del Repositorio Documental de la Universidad de Salamanca
oca@usal.es
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