Determination of Effective and Specific Physical Features of Rice Varieties by Computer Vision in Exterior Quality Inspection

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dc.authorid0000-0003-0611-3316en_US
dc.authorid0000-0002-2737-2360en_US
dc.contributor.authorÇınar, İlkay
dc.contributor.authorKöklü, Murat
dc.date.accessioned2023-08-06T12:59:32Z
dc.date.available2023-08-06T12:59:32Z
dc.date.issued2021en_US
dc.departmentSelçuk Üniversitesi, Teknoloji Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractIn this study, feature extraction processes were performed based on the image processing techniques using morphological, shape and color features for five different rice varieties of the same brand. A total of 75 thousand pieces of rice grain were obtained, including 15 thousand pieces of each variety of rice. Preprocessing operations were applied to the images and made available for feature extraction. A total of 106 features were inferred from the images; 12 morphological features and 4 shape features obtained using morphological features and 90 color features obtained from five different color spaces (RGB, HSV, L*a*b*, YCbCr, XYZ). In addition, for the 106 features obtained, features were selected by ANOVA, X2 and Gain Ratio tests and useful features were determined. In all tests, out of 106 features, the 5 most effective and specific features were obtained roundness, compactness, shape factor 3, aspect ratio and eccentricity. The color features were listed in different order following these features.en_US
dc.identifier.citationÇınar, İ., Köklü, M., (2021). Determination of Effective and Specific Physical Features of Rice Varieties by Computer Vision in Exterior Quality Inspection. Selcuk Journal of Agriculture and Food Sciences, 35(3), 229-243. DOI: 10.15316/SJAFS.2021.252en_US
dc.identifier.doi10.15316/SJAFS.2021.252en_US
dc.identifier.endpage243en_US
dc.identifier.issn2458-8377en_US
dc.identifier.issue3en_US
dc.identifier.startpage229en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/49241
dc.identifier.volume35en_US
dc.institutionauthorÇınar, İlkay
dc.institutionauthorKöklü, Murat
dc.language.isoenen_US
dc.publisherSelçuk Üniversitesien_US
dc.relation.ispartofSelcuk Journal of Agriculture and Food Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectColor spacesen_US
dc.subjectFeature extractionen_US
dc.subjectFeature selectionen_US
dc.subjectImage processingen_US
dc.subjectQuality controlen_US
dc.titleDetermination of Effective and Specific Physical Features of Rice Varieties by Computer Vision in Exterior Quality Inspectionen_US
dc.typeArticleen_US

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