Automated fuzzy optic disc detection algorithm using branching of vessels and color properties in fundus images

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dc.contributor.authorNergiz, Mehmet
dc.contributor.authorAkin, Mehmet
dc.contributor.authorYildiz, Abdulnasir
dc.contributor.authorTakes, Omer
dc.date.accessioned2024-04-24T16:10:54Z
dc.date.available2024-04-24T16:10:54Z
dc.date.issued2018
dc.departmentDicle Üniversitesien_US
dc.description.abstractOptic disc (OD) detection is a basic procedure for the image processing algorithms which intend to diagnose and track retinal disorders. In this study, a new OD localization approach is proposed, based on color and shape properties of OD as well as the convergence point of the main vessels. This study is comprised of two successive fundamental steps. At the first step, an algorithm finding the approximate convergent point of the vessels is used in order to roughly localize OD. At the second step, three new features are suggested and a fuzzy logic controller (FLC) whose input membership functions are designed based on these features is proposed. The proposed method is applied to the DRIVE, STARE, DIARETDB0 and DIRETDB1 datasets and the obtained results validate the improvement in the performance by attaining success rate of 100%, 91,35%, 90% and 100% respectively and detecting OD centers and contours precisely in a reasonable execution time. (C) 2018 Nalecz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences. Published by Elsevier B.V. All rights reserved.en_US
dc.identifier.doi10.1016/j.bbe.2018.08.003
dc.identifier.endpage867en_US
dc.identifier.issn0208-5216
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85052440183
dc.identifier.scopusqualityQ1
dc.identifier.startpage850en_US
dc.identifier.urihttps://doi.org/10.1016/j.bbe.2018.08.003
dc.identifier.urihttps://hdl.handle.net/11468/15177
dc.identifier.volume38en_US
dc.identifier.wosWOS:000448429800008
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofBiocybernetics and Biomedical Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOptic Disc Detectionen_US
dc.subjectFuzzy Logic Controlleren_US
dc.subjectVessel Convergenceen_US
dc.subjectFundus Imageen_US
dc.subjectFeature Extractionen_US
dc.titleAutomated fuzzy optic disc detection algorithm using branching of vessels and color properties in fundus imagesen_US
dc.titleAutomated fuzzy optic disc detection algorithm using branching of vessels and color properties in fundus images
dc.typeArticleen_US

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