Abstract
Objective: To detect and locate the boundary line between paddy and brown rice in separation equipment. Methods: A method based on straight-line edge detection was proposed by performing model matching with different color features. Converted the resulting images to grayscale and applied the linear edge detection algorithm to locate the target position. Results: Our approach reduced the error to within 5% and significantly improved recognition accuracy compared to traditional methods. Conclusion: Proposed method has a small recognition error, making it suitable for identifying the boundary between paddy and brown rice.
Publication Date
1-30-2024
First Page
108
Last Page
114
DOI
10.13652/j.spjx.1003.5788.2023.80437
Recommended Citation
Hao, LIU; Jijun, FAN; Nanhui, YU; Xiaopeng, LIU; Jin, ZHOU; and Yi, MOU
(2024)
"Paddy-brown rice boundary detection method based on machine vision,"
Food and Machinery: Vol. 40:
Iss.
1, Article 16.
DOI: 10.13652/j.spjx.1003.5788.2023.80437
Available at:
https://www.ifoodmm.cn/journal/vol40/iss1/16
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