Determination of Effective and Specific Physical Features of Rice Varieties by Computer Vision In Exterior Quality Inspection
Öz
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.
Anahtar Kelimeler
Ayrıntılar
Birincil Dil
İngilizce
Konular
Ziraat Mühendisliği
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
25 Aralık 2021
Gönderilme Tarihi
14 Ekim 2021
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2021 Cilt: 35 Sayı: 3
APA
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. https://izlik.org/JA93BE49CC
AMA
1.Çınar İ, Köklü M. Determination of Effective and Specific Physical Features of Rice Varieties by Computer Vision In Exterior Quality Inspection. Selcuk J Agr Food Sci. 2021;35(3):229-243. https://izlik.org/JA93BE49CC
Chicago
Çınar, İlkay, ve Murat Köklü. 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): 229-43. https://izlik.org/JA93BE49CC.
EndNote
Çınar İ, Köklü M (01 Aralık 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.
IEEE
[1]İ. Çınar ve M. Köklü, “Determination of Effective and Specific Physical Features of Rice Varieties by Computer Vision In Exterior Quality Inspection”, Selcuk J Agr Food Sci, c. 35, sy 3, ss. 229–243, Ara. 2021, [çevrimiçi]. Erişim adresi: https://izlik.org/JA93BE49CC
ISNAD
Çınar, İlkay - Köklü, Murat. “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 (01 Aralık 2021): 229-243. https://izlik.org/JA93BE49CC.
JAMA
1.Çınar İ, Köklü M. Determination of Effective and Specific Physical Features of Rice Varieties by Computer Vision In Exterior Quality Inspection. Selcuk J Agr Food Sci. 2021;35:229–243.
MLA
Çınar, İlkay, ve Murat Köklü. “Determination of Effective and Specific Physical Features of Rice Varieties by Computer Vision In Exterior Quality Inspection”. Selcuk Journal of Agriculture and Food Sciences, c. 35, sy 3, Aralık 2021, ss. 229-43, https://izlik.org/JA93BE49CC.
Vancouver
1.İlkay Çınar, Murat Köklü. Determination of Effective and Specific Physical Features of Rice Varieties by Computer Vision In Exterior Quality Inspection. Selcuk J Agr Food Sci [Internet]. 01 Aralık 2021;35(3):229-43. Erişim adresi: https://izlik.org/JA93BE49CC