An efficient ant-based edge detector

dc.contributor.authorAydIn D.
dc.date.accessioned2019-10-26T22:29:19Z
dc.date.available2019-10-26T22:29:19Z
dc.date.issued2010
dc.departmentEge Üniversitesien_US
dc.description1st International Conference on Computational Collective Intelligence: Semantic Web, Social Networks and Multiagent Systems, ICCCI 2009 -- 5 October 2009 through 7 October 2009 -- Wroclaw -- 82033en_US
dc.description.abstractAn efficient ant-based edge detector is presented. It is based on the distribution of ants on an image, ants try to find possible edges by using a state transition function based on 5x5 edge structures. Visual comparisons show that the proposed method gives finer details and thinner edges at lesser computational times when compared to earlier ant-based approaches. When compared to standard edge detectors, it shows robustness to Gaussian and Salt & Pepper noise and provides finer details than others with same parameter set in both clear and noisy images. © 2010 Springer-Verlag Berlin Heidelberg.en_US
dc.identifier.doi10.1007/978-3-642-15034-0_3
dc.identifier.endpage55en_US
dc.identifier.isbn3642150330; 9783642150333
dc.identifier.issn0302-9743
dc.identifier.issn0302-9743en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage39en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-642-15034-0_3
dc.identifier.urihttps://hdl.handle.net/11454/19669
dc.identifier.volume6220 LNCSen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectant colony optimizationen_US
dc.subjectant-based algorithmen_US
dc.subjectEdge detectionen_US
dc.subjectnoisy imagesen_US
dc.titleAn efficient ant-based edge detectoren_US
dc.typeConference Objecten_US

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