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Online Measuring and Size Sorting for Perillae Based on Machine Vision
Joint Authors
Zhao, Bo
Wang, Ye
Fu, Jun
Zhao, Rongqiang
Li, Yashuo
Dong, Xin
Lv, Chengxu
Jiang, Hanlu
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-13
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Perillae has attracted an increasing interest of study due to its wide usage for medicine and food.
Estimating quality and maturity of a perillae requires the information with respect to its size.
At present, measuring and sorting the size of perillae mainly depend on manual work, which is limited by low efficiency and unsatisfied accuracy.
To address this issue, in this study, we develop an approach based on the machine vision (MV) technique for online measuring and size sorting.
The geometrical model and the corresponding mathematical model are built for perillae and imaging, respectively.
Based on the built models, the measuring and size sorting method is proposed, including image binarization, key point determination, information matching, and parameter estimation.
Experimental results demonstrate that the average time consumption for a captured image, the average measuring error, the variance of measuring error, and the overall sorting accuracy are 204.175 ms, 1.48 mm, 0.07 mm, and 93%, respectively, implying the feasibility and satisfied accuracy of the proposed approach.
American Psychological Association (APA)
Zhao, Bo& Wang, Ye& Fu, Jun& Zhao, Rongqiang& Li, Yashuo& Dong, Xin…[et al.]. 2020. Online Measuring and Size Sorting for Perillae Based on Machine Vision. Journal of Sensors،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1190392
Modern Language Association (MLA)
Zhao, Bo…[et al.]. Online Measuring and Size Sorting for Perillae Based on Machine Vision. Journal of Sensors No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1190392
American Medical Association (AMA)
Zhao, Bo& Wang, Ye& Fu, Jun& Zhao, Rongqiang& Li, Yashuo& Dong, Xin…[et al.]. Online Measuring and Size Sorting for Perillae Based on Machine Vision. Journal of Sensors. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1190392
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190392