Image filtering of impulsive noise using biologically inspired algorithms

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dc.contributor.authorGharraf, Hadeel Sabti
dc.contributor.authorCansever, Galip
dc.contributor.authorAhmed, Ali Saadoon
dc.date.accessioned2022-12-23T10:40:01Z
dc.date.available2022-12-23T10:40:01Z
dc.date.issued2022en_US
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractA digital image is a two-dimensional representation of an image in the form of a numerical matrix. In grayscale images, pixels are represented by an integer numeric value that is between 0 and 255. One of the main problems encountered today is the appearance of noise in digital images. The main sources of noise appear during the image acquisition and transmission phases. There are many types of noise and among the best known are some such as Gaussian or impulsive. The main goals of applying filters are to smooth the image, remove noise, enhancement, and edge detection, in this paper we propose the combining of the powerful set of Fuzzy rules with the genetic algorithm pattering recognition features to filter the image from impulsive noise yet retaining the image features unfiltered thus performing a powerful noise filtering on the noise without and destruction to the image itself.en_US
dc.identifier.citationGharraf, H. S., Cansever, G., Ahmed, A. S. (2022). Image filtering of impulsive noise using biologically inspired algorithms. In 2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (pp. 58-65). IEEE.en_US
dc.identifier.endpage65en_US
dc.identifier.isbn9781665470131
dc.identifier.scopus2-s2.0-85142845418
dc.identifier.scopusqualityN/A
dc.identifier.startpage58en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/3150
dc.indekslendigikaynakScopus
dc.institutionauthorGharraf, Hadeel Sabti
dc.institutionauthorCansever, Galip
dc.institutionauthorAhmed, Ali Saadoon
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofISMSIT 2022 - 6th International Symposium on Multidisciplinary Studies and Innovative Technologies, Proceedings
dc.relation.isversionof10.1109/ISMSIT56059.2022.9932802en_US
dc.relation.publicationcategoryKonferans Öğesi - Ulusal - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBIAen_US
dc.subjectFLen_US
dc.subjectGAen_US
dc.subjectImpulsive Noiseen_US
dc.titleImage filtering of impulsive noise using biologically inspired algorithms
dc.typeConference Object

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