A novel hybrid edge detection technique: ABC-FA

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dc.authorid0000-0002-3645-3445
dc.authorid0000-0002-3645-3445en_US
dc.contributor.authorYelmenoğlu, Elif Denizen_US
dc.contributor.authorÇelebi, Numanen_US
dc.contributor.authorTaşçı, Tuğrulen_US
dc.date.accessioned2023-01-21T04:10:15Z
dc.date.available2023-01-21T04:10:15Z
dc.date.issued2017-11-09
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Computer Engineeringen_US
dc.description.abstractImage processing is a vast research field with diversified set of practices utilized in so many application areas such as military, security, medical imaging, machine learning and computer vision based on extracted useful information from any kind of image data. Edges within images are undoubtedly accepted as one of the most significant features providing substantial practical information for various applications working on top of miscellaneous optimization algorithms to achieve better results. Artificial Bee Colony and Firefly algorithms are recently developed optimization algorithms and are used to obtain better results for various problems. In this study, a novel hybrid optimization technique is proposed by combining those algorithms aiming better quality in edge detection on grayscale images. The performance of the proposed algorithm is compared with individual performances of Artificial Bee Colony algorithm and the fundamental edge detection methods. The results are demonstrated that the proposed method is encouraging and also produces meaningful results for similar applications.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationYelmenoğlu, E. D., Çelebi, N. & Taşçı, T. (2017). A novel hybrid edge detection technique: ABC-FA. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 1, 193-200.en_US
dc.identifier.endpage200
dc.identifier.issn2602-3199en_US
dc.identifier.issue1
dc.identifier.startpage193
dc.identifier.urihttps://hdl.handle.net/11729/5270
dc.identifier.urihttp://www.epstem.net/tr/pub/issue/31865/364418
dc.institutionauthorYelmenoğlu, Elif Denizen_US
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherISRES Organizasyon Turizm Eğitim Danışmanlık Ltd. Şti.en_US
dc.relation.ispartofThe Eurasia Proceedings of Science Technology Engineering and Mathematicsen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectImage processingen_US
dc.subjectEdge detectionen_US
dc.subjectMeta-heuristicen_US
dc.subjectArtificial Bee Colony (ABC)en_US
dc.subjectFirefly (FA)en_US
dc.titleA novel hybrid edge detection technique: ABC-FAen_US
dc.typeArticleen_US
dspace.entity.typePublication

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