Color Reconstructions by the new Fuzzy Logic-based model

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dc.contributor.authorMoghani, A.
dc.contributor.authorZaeembashi, A.
dc.date.accessioned2024-07-12T20:52:03Z
dc.date.available2024-07-12T20:52:03Z
dc.date.issued2009en_US
dc.departmentFakülteler, İnsan ve Toplum Bilimleri Fakültesi, Matematik Bölümüen_US
dc.description.abstractMany color vision systems require a first step of classifying pixels in a given image into a discrete set of color classes. Fuzzy sets are defined on the Hue, Saturation and Value components of the HSV color space and provide color descriptors to follow the human intuition of color classification according to Statistical predictions. In this paper we describe pixel color segmentation which are human perception based and useful in reconstruction too. Then, by introducing a statistical model for a psychological experiment in color naming we will estimate our results.en_US
dc.identifier.citationMoghani, A. ve Zaeembashi, A. (2009). Color Reconstructions by the new Fuzzy Logic-based model. International Conference on Mathematical Sciences, Maltepe Üniversitesi. s. 48-49.en_US
dc.identifier.endpage49en_US
dc.identifier.isbn9.78605E+12
dc.identifier.startpage48en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12415/2517
dc.language.isoenen_US
dc.publisherMaltepe Üniversitesien_US
dc.relation.ispartofInternational Conference on Mathematical Sciencesen_US
dc.relation.publicationcategoryUluslararası Konferans Öğesi - Başka Kurum Yazarıen_US
dc.rightsCC0 1.0 Universal*
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.snmzKY07901
dc.subjectColor segmentationen_US
dc.subjectFuzzy logicen_US
dc.subjectReconstructionen_US
dc.subjectHSV and Lab color spacesen_US
dc.titleColor Reconstructions by the new Fuzzy Logic-based modelen_US
dc.typeConference Object
dspace.entity.typePublication

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