Prediction of Wood Density by Using Red-Green-Blue (RGB) Color and Fuzzy Logic Techniques

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dc.authoridBARDAK, selahattin/0000-0001-9724-4762
dc.contributor.authorBardak, Timucin
dc.contributor.authorBardak, Selahattin
dc.date.accessioned2025-03-23T19:27:06Z
dc.date.available2025-03-23T19:27:06Z
dc.date.issued2017
dc.departmentSinop Üniversitesi
dc.description.abstractDensity is an important wood property since it correlates to mechanical properties of wood. Fuzzy logic, among the various available Artificial Intelligence techniques, emerges as a good technique in predicting. Digital image analysis is an powerful tool to obtain meaningful data out of an image. In this study, digital image processing based on a red-green-blue (RGB) color examination was practiced to measure the intensity of wood color. Densities of the test samples were measured. Then, a new fuzzy logic model was developed based on these measured values and RGB color intensity of wood. Afterwards, the experimental and modeling data results were compared. 98.17% accuracy was observed between the measurement and the fuzzy logic model. Consequently, Fuzzy logic is visable method for the prediction of the wood density.
dc.identifier.doi10.2339/politeknik.369132
dc.identifier.endpage984
dc.identifier.issn1302-0900
dc.identifier.issn2147-9429
dc.identifier.issue4
dc.identifier.scopusqualityN/A
dc.identifier.startpage979
dc.identifier.urihttps://doi.org/10.2339/politeknik.369132
dc.identifier.urihttps://hdl.handle.net/11486/4838
dc.identifier.volume20
dc.identifier.wosWOS:000447838500026
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherGazi Univ
dc.relation.ispartofJournal of Polytechnic-Politeknik Dergisi
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250323
dc.subjectFuzzy logic
dc.subjectcolor
dc.subjectwood
dc.subjectdensity
dc.subjectimaging
dc.titlePrediction of Wood Density by Using Red-Green-Blue (RGB) Color and Fuzzy Logic Techniques
dc.typeArticle

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