Angiograph image restoration with the use of rule base fuzzy 2D Kalman filter

Basit Öğe Kaydı
dc.contributor.authorToprak, Abdullah
dc.contributor.authorGueler, Inan
dc.date.accessioned2024-04-24T16:11:24Z
dc.date.available2024-04-24T16:11:24Z
dc.date.issued2008
dc.departmentDicle Üniversitesien_US
dc.description.abstractRecursive estimation techniques such as Kalman filter have been used for a long time in image restoration. The aim of this paper is restoration of the images, which are heavy corrupted with the mix of Gaussian and impulse noises, by using novel rule base fuzzy 2D Kalman filter (RBFK). Rule base fuzzy 2D Kalman filter has been utilized for restoration of image which is contaminated with random noises. In the first step of the study, the noisy images were converted to stack which includes several stationary images in order to apply Kalman filter. The experiments which are indicated that rule based fuzzy 2D Kalman filter is one of the best techniques to remove the mix of Gaussian and impulse noises. Altough, Kalman Filter is used in motion images, in this study, it was applied to the stationary images which were duplicated many times to obtain stack. (C) 2007 Elsevier Ltd. All rights reserved.en_US
dc.description.sponsorshipGazi University Scientific and Research Project Fund [07/2006/-05]en_US
dc.description.sponsorshipThis work has been supported by Gazi University Scientific and Research Project Fund (Project No: 07/2006/-05).en_US
dc.identifier.doi10.1016/j.eswa.2007.08.069
dc.identifier.endpage1761en_US
dc.identifier.issn0957-4174
dc.identifier.issn1873-6793
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-48849107826
dc.identifier.scopusqualityQ1
dc.identifier.startpage1752en_US
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2007.08.069
dc.identifier.urihttps://hdl.handle.net/11468/15380
dc.identifier.volume35en_US
dc.identifier.wosWOS:000259432600026
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofExpert Systems With Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectImage Restorationen_US
dc.subjectKalman Filteren_US
dc.subjectRule Base Fuzzy 2d Kalman Filteren_US
dc.subjectGaussian And Impulse Noiseen_US
dc.titleAngiograph image restoration with the use of rule base fuzzy 2D Kalman filteren_US
dc.titleAngiograph image restoration with the use of rule base fuzzy 2D Kalman filter
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu