Saliency detection with hybrid artificial bee colony-firefly optimization method

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dc.authorid0000-0002-3645-3445
dc.authorid0000-0001-7489-9053
dc.authorid0000-0003-3820-6453
dc.contributor.authorYelmenoğlu, Elif Denizen_US
dc.contributor.authorÇelebi, Numanen_US
dc.contributor.authorTaşçı, Tuğrulen_US
dc.contributor.editorAkkurt, İskenderen_US
dc.contributor.editorGünoğlu, Kadiren_US
dc.contributor.editorAkyıldırım, Hakanen_US
dc.date.accessioned2026-02-19T13:23:32Z
dc.date.available2026-02-19T13:23:32Z
dc.date.issued2018-12-28
dc.departmentIşık Üniversitesi, Fen Edebiyat Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Arts and Sciences, Department of Computer Engineeringen_US
dc.description.abstractImplementation of optimization algorithms in image processing is a quite common area of research. Detecting salient fields in images can be used for problems such as object recognition, image segmentation or video tracking problems. This case makes the determination of saliency an important factor in image processing. The algorithms developed for salient region detection are divided into two approaches as bottom-up and top-down. The bottom-up techniques determine salient regions according to the data, and the top-down techniques discover these regions by the learning of visual information of a certain object. This paper presents an optimization technique for bottom-up saliency detection algorithm based on Hybrid Artificial Bee Colony- Firefly algorithm.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationYelmenoğlu, E. D., Çelebi, N. & Taşçı, T. (2018). Saliency detection with hybrid artificial bee colony-firefly optimization method. Paper presented at the Proceedings of ICCESEN-2018, 147-151.en_US
dc.identifier.endpage151
dc.identifier.isbn9786056872808
dc.identifier.startpage147
dc.identifier.urihttps://hdl.handle.net/11729/7032
dc.identifier.urihttps://2018.iccesen.org/
dc.institutionauthorYelmenoğlu, Elif Denizen_US
dc.institutionauthorid0000-0002-3645-3445
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherICCESENen_US
dc.relation.ispartofProceedings of ICCESEN-2018en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSaliency detectionen_US
dc.subjectArtificial bee colony algorithmen_US
dc.subjectFirefly algorithmen_US
dc.titleSaliency detection with hybrid artificial bee colony-firefly optimization methoden_US
dc.typeConference Objecten_US
dspace.entity.typePublicationen_US

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