Determination of Effective and Specific Physical Features of Rice Varieties by Computer Vision in Exterior Quality Inspection
Yükleniyor...
Dosyalar
Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Selçuk Üniversitesi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In 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.
Açıklama
Anahtar Kelimeler
Color spaces, Feature extraction, Feature selection, Image processing, Quality control
Kaynak
Selcuk Journal of Agriculture and Food Sciences
WoS Q Değeri
Scopus Q Değeri
Cilt
35
Sayı
3
Künye
Çınar, 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.2021.252
