Suppression of impulse noise in MR images using artificial intelligent based neuro-fuzzy adaptive median filter

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dc.contributor.authorToprak, Abdullah
dc.contributor.authorOzerdem, Mehmet Sirac
dc.contributor.authorGuler, Inan
dc.date.accessioned2024-04-24T16:11:17Z
dc.date.available2024-04-24T16:11:17Z
dc.date.issued2008
dc.departmentDicle Üniversitesien_US
dc.description.abstractThis paper presents a new artificial intelligent based neuro-fuzzy rule base adaptive median filter for removing highly impulse noise. Since the filter is rule base, it is called neuro-fuzzy rule base adaptive median (NFRBAM) filter. The NFRBAM filter is an improved version of switch mode fuzzy adaptive median filter (SMFAMF) and is presented for the purpose of noise reduction of images corrupted with additive impulse noise. The NFRBAM filter consists of a decision unit and three different types of filters. In the decision unit, the noisy input image is directed to the proper filter with respect to the noise density. Neuro-fuzzy rule based approach is used in both decision and filtering parts. In artificial neural network, multi layer perceptron (MLP) architecture with backpropagation (BP) algorithm is used for noise detection and removing highly impulse noise corrupted MR images. In fuzzy logic, bell-shaped membership function is employed in order to obtain better results. Experimental results indicate that the proposed filter is improvable with the increased fuzzy rules to reduce more noise corrupted images and preserve image details more than SMFAMF. (c) 2007 Elsevier Inc. All rights reserved.en_US
dc.identifier.doi10.1016/j.dsp.2007.04.008
dc.identifier.endpage405en_US
dc.identifier.issn1051-2004
dc.identifier.issn1095-4333
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-42949140835
dc.identifier.scopusqualityQ1
dc.identifier.startpage391en_US
dc.identifier.urihttps://doi.org/10.1016/j.dsp.2007.04.008
dc.identifier.urihttps://hdl.handle.net/11468/15338
dc.identifier.volume18en_US
dc.identifier.wosWOS:000256286800011
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherAcademic Press Inc Elsevier Scienceen_US
dc.relation.ispartofDigital Signal Processing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFuzzy Adaptive Median Filteren_US
dc.subjectNoise Reductionen_US
dc.subjectNeuro-Fuzzy Rule Base Adaptive Median Filteren_US
dc.titleSuppression of impulse noise in MR images using artificial intelligent based neuro-fuzzy adaptive median filteren_US
dc.titleSuppression of impulse noise in MR images using artificial intelligent based neuro-fuzzy adaptive median filter
dc.typeArticleen_US

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