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Meta-Heuristic Algorithms Based Multi-Level Thresholding

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Özet

Thresholding is a very important stage in computer vision applications. An ideal single thresholding algorithm is not available for all environments. Multi-level thresholding in environments with multiple objects is constantly being developed for interpretation of images. Kapur entropy and Otsu approaches are among the most successful algorithms in the literature. In this study, it is tried to increase the performance of Otsu and Kapur algorithms by using meta-heuristic optimization approaches. The results of the Firefly Algorithm (FF) and Real Coded Genetic Algorithm (RGA) were evaluated with PSNR, SSIM and CPU processing time criteria.

Anahtar Kelimeler

Firefly AlgorithmReal Coded Genetic AlgorithmOtsu MethodKapur's EntropyThresholding
RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/gumushane/15957Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1109/siu.2019.8806265Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorKüçükugurlu, Busranur
dc.contributor.authorGedikli, Eyup
dc.contributor.otherIEEE
dc.date.accessioned2026-10-22T10:26:16.100994230Z
dc.date.available2026-10-22T10:26:16.100994230Z
dc.date.issued2019
dc.description.abstractThresholding is a very important stage in computer vision applications. An ideal single thresholding algorithm is not available for all environments. Multi-level thresholding in environments with multiple objects is constantly being developed for interpretation of images. Kapur entropy and Otsu approaches are among the most successful algorithms in the literature. In this study, it is tried to increase the performance of Otsu and Kapur algorithms by using meta-heuristic optimization approaches. The results of the Firefly Algorithm (FF) and Real Coded Genetic Algorithm (RGA) were evaluated with PSNR, SSIM and CPU processing time criteria.
dc.identifier.doi10.1109/siu.2019.8806265
dc.identifier.isbn978-1-7281-1904-5
dc.identifier.issn2165-0608
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/gumushane/15957
dc.identifier.wosWOS:000518994300018
dc.language.isotr
dc.publisherIEEE
dc.relation.conference27th Signal Processing and Communications Applications Conference (SIU)
dc.relation.ispartof2019 27TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectFirefly Algorithm
dc.subjectReal Coded Genetic Algorithm
dc.subjectOtsu Method
dc.subjectKapur's Entropy
dc.subjectThresholding
dc.subject.classificationEngineering, Electrical & Electronic
dc.subject.classificationTelecommunications
dc.subject.classificationEngineering
dc.subject.otherSEGMENTATION
dc.titleMeta-Heuristic Algorithms Based Multi-Level Thresholding
dc.typeConference Object
dspace.entity.typePublication
rdl.citation.openalex1
rdl.citation.wos0
rdl.conference.dateAPR 24-26, 2019
rdl.conference.placeSivas Cumhuriyet Univ, Sivas, TURKEY
rdl.oa.statusclosed
rdl.source.indexWOS
rdl.wos.indexConference Proceedings Citation Index - Science (CPCI-S)