Research Article

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

Volume: 35 Number: 3 December 25, 2021
  • İlkay Çınar
  • Murat Köklü

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

Abstract

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.

Keywords

Details

Primary Language

English

Subjects

Agricultural Engineering

Journal Section

Research Article

Authors

İlkay Çınar This is me
Türkiye

Murat Köklü This is me
Türkiye

Publication Date

December 25, 2021

Submission Date

October 14, 2021

Acceptance Date

-

Published in Issue

Year 2021 Volume: 35 Number: 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, and 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 (December 1, 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 and M. Köklü, “Determination of Effective and Specific Physical Features of Rice Varieties by Computer Vision In Exterior Quality Inspection”, Selcuk J Agr Food Sci, vol. 35, no. 3, pp. 229–243, Dec. 2021, [Online]. Available: 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 (December 1, 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, and 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, vol. 35, no. 3, Dec. 2021, pp. 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]. 2021 Dec. 1;35(3):229-43. Available from: https://izlik.org/JA93BE49CC

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