Edge Detection by Using IJA Automaton

dc.contributor.authorNooraliei, Amir
dc.contributor.authorAltun, Adem Alpaslan
dc.date.accessioned2020-03-26T17:38:18Z
dc.date.available2020-03-26T17:38:18Z
dc.date.issued2009
dc.departmentSelçuk Üniversitesien_US
dc.description2nd International Conference on Computer and Electrical Engineering -- DEC 28-30, 2009 -- Dubai, U ARAB EMIRATESen_US
dc.description.abstractIn this paper, a fixed structure learning automaton (FSSA), called IJA, while study its steady state behavior in stationary environments is presented to extract the edge of the images. In this model, the gray scale matrix of the image is used. IJA Cellular learning automata edge detection model can extract the edge of the image without people participating in the course. Meanwhile, it is rather than the other cellular learning automata and achieves the edges with little evolution generations.en_US
dc.description.sponsorshipInt Assoc Comp Sci & Informat Technolen_US
dc.identifier.doi10.1109/ICCEE.2009.251en_US
dc.identifier.endpage+en_US
dc.identifier.isbn978-0-7695-3925-6
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage327en_US
dc.identifier.urihttps://dx.doi.org/10.1109/ICCEE.2009.251
dc.identifier.urihttps://hdl.handle.net/20.500.12395/23438
dc.identifier.wosWOS:000276905000070en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEE COMPUTER SOCen_US
dc.relation.ispartofSECOND INTERNATIONAL CONFERENCE ON COMPUTER AND ELECTRICAL ENGINEERING, VOL 1, PROCEEDINGSen_US
dc.relation.ispartofseriesInternational Conference on Computer and Electrical Engineering ICCEE
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectFSSAen_US
dc.subjectcellular Learning automataen_US
dc.subjectedge detectionen_US
dc.titleEdge Detection by Using IJA Automatonen_US
dc.typeConference Objecten_US

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