Adaptive Color Quantization Method with Multi-level Thresholding

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dc.authorid0000-0003-1117-7736
dc.contributor.authorKilicaslan, Mahmut
dc.contributor.authorIncetas, Muersel Ozan
dc.date.accessioned2026-01-24T12:31:03Z
dc.date.available2026-01-24T12:31:03Z
dc.date.issued2023
dc.departmentAlanya Alaaddin Keykubat Üniversitesi
dc.description.abstractIn this study, a novel color quantization approach which automatically estimates the number of colors by multi-level thresholding based on the histogram is proposed. The method consists of three stages. First, red-green-blue is clustered by threshold values. Thus, the pixels are positioned in a cluster or sub-prism. Second, the color palette is produced by determining the centroids of the clusters. Finally, the pixels are reassigned to clusters based on their distance from each centroid. The average of the pixels included in each cluster also represents the color of that cluster. While conventional methods are user-dependent, the proposed algorithm automatically generates the number of colors by considering the pixels assigned to the clusters. Additionally, the multi-level thresholding approach is also a solution to the initialization problem, which is another important issue for quantization. Consequently, the experimental results of the method tested with various images show better performance than many frequently used quantization techniques.
dc.identifier.doi10.1007/s44196-023-00185-x
dc.identifier.issn1875-6891
dc.identifier.issn1875-6883
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85147438491
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1007/s44196-023-00185-x
dc.identifier.urihttps://hdl.handle.net/20.500.12868/5620
dc.identifier.volume16
dc.identifier.wosWOS:000924070600001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringernature
dc.relation.ispartofInternational Journal of Computational Intelligence Systems
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20260121
dc.subjectMulti-level thresholding
dc.subjectCluster
dc.subjectCentroid
dc.subjectHistogram
dc.subjectColor quantization
dc.titleAdaptive Color Quantization Method with Multi-level Thresholding
dc.typeArticle

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