A novel stochastic mean filter based on Ornstein–Uhlenbeck process

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dc.contributor.authorCatak N.B.
dc.date.accessioned2019-10-27T08:22:05Z
dc.date.available2019-10-27T08:22:05Z
dc.date.issued2014
dc.departmentEge Üniversitesien_US
dc.description.abstractIn this paper, a stochastic differential equation based on Ornstein–Uhlenbeck (OU) process has been employed to image enhancement and edge detection processes. The simulation results show that the method is efficient to enhance the color image. In addition, the performance of OU method on edge detection is acceptable in both gray and color images. © 2014, The Natural Computing Applications Forum.en_US
dc.identifier.doi10.1007/s00521-014-1734-6
dc.identifier.endpage397en_US
dc.identifier.issn0941-0643
dc.identifier.issn0941-0643en_US
dc.identifier.issue2en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage391en_US
dc.identifier.urihttps://doi.org/10.1007/s00521-014-1734-6
dc.identifier.urihttps://hdl.handle.net/11454/26175
dc.identifier.volume26en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer-Verlag London Ltden_US
dc.relation.ispartofNeural Computing and Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectImage processingen_US
dc.subjectOrnstein–Uhlenbeck processen_US
dc.subjectStochastic differential equationsen_US
dc.titleA novel stochastic mean filter based on Ornstein–Uhlenbeck processen_US
dc.typeArticleen_US

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