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Research on Morphology and Quality Inspection of Panax Notoginseng Main Roots Based on Machine Vision

Author(s)

Hao Zhu1, Fanfan Guo2,*, Hao Wang1, Luyao Zhou1

Affiliation(s)

1College of Physics and Information Engineering, Zhaotong University, Zhaotong, Yunnan, China 2Jilin University of Finance and Economics, Changchun, Jilin, China *Corresponding Author

Abstract

As for the current sorting method of Panax notoginseng main root market, most of them use manual visual inspection for sorting, and this method has strong subjectivity, which consumes manpower and material resources, and the detection results are also unstable. This project uses MATLAB image processing technology to sort the shape and fullness of the main roots of Panax notoginseng. The orthogonal projection images of the main roots of Panax notoginseng are collected, and MATLAB image processing technology is used to preprocess the images, extracting parameters such as the horizontal axis, vertical axis, perimeter, and image area. An electronic scale is used to weigh the mass of individual Panax notoginseng roots, calculate their roundness, axial length ratio, and fullness, in order to determine whether the shape and quality of the main roots of Panax notoginseng are intact. The method adopted in this project can sort out higher quality Panax notoginseng main roots, improve sorting efficiency, eliminate subjective factors of manual sorting, and provide invaluable assistance towards the prospective deployment of an automated method for sorting Panax notoginseng primary roots, utilizing cutting-edge machine vision technology.

Keywords

Roundness; Axial Length Ratio; Shape; Fullness

References

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