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dc.contributor.authorÖzmen, Atilla
dc.contributor.authorAkman, Emir Tufan
dc.date.accessioned2019-06-28T11:11:55Z
dc.date.available2019-06-28T11:11:55Z
dc.date.issued2002
dc.identifier.issn2219-5491
dc.identifier.urihttps://hdl.handle.net/20.500.12469/1733
dc.identifier.urihttps://www.eurasip.org/Proceedings/Eusipco/2002/articles/paper342.html
dc.description.abstractThis paper proposes a new approach for edge detection using steerable filters and cellular neural networks (CNNs) where the former yields the local direction of dominant orientation and the latter provides iterative filtering. For this purpose steerable filter coefficients are used in CNN as a B template. The results are compared to the results where only CNN or steerable filters are used. As a result of this study the performance of the system can be improved since iterative filtering property of CNN and the ability of steerable filters for edge detection are used. © 2002 EUSIPCO.
dc.language.isoEnglish
dc.publisherEuropean Signal Processing Conference EUSIPCO
dc.titleEdge detection using steerable filters and CNN
dc.typeConference Paper
dc.identifier.startpage263
dc.identifier.endpage266
dc.relation.journalEuropean Signal Processing Conference
dc.identifier.volume2002-March
dc.contributor.khasauthorÖzmen, Atilla


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