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Proceedings Paper

A measurement method of curved glass thickness based on 3D laser vision
Author(s): Hanyu Hong; Shuhan Zhao; Qingsong Zhao; Xiuhua Zhang
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Paper Abstract

In the field of glass thickness measurement, the traditional contact manual measurement usually tends to destroy the measured surface, which causes slow speed and low accuracy of measurement. Combining the optical properties of the laser through the glass surface, the paper proposed a novel glass thickness measurement method based on the laser triangulation method. Double line images of the line laser reflected by the up-down surfaces of the glass will form on the CCD through the camera lens. By analyzing the texture features of laser lines in images, gray-centre algorithm is used to extracted the two-dimensional coordinates of laser lines. And three-dimensional point cloud data are derived from laser triangulation formula. The spatial interpolation in specific part of point cloud to calculate the glass thickness. The experimental results show that the proposed method has repeatability and high-precision measurement of the glass thickness.

Paper Details

Date Published: 14 February 2020
PDF: 7 pages
Proc. SPIE 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 114320V (14 February 2020); doi: 10.1117/12.2537642
Show Author Affiliations
Hanyu Hong, Hebei Key Lab. of Optical Information and Pattern Recognition (China)
Hubei Engineering Research Ctr. of Video Image and High Definition Projection (China)
Wuhan Institute of Technology (China)
Shuhan Zhao, Hebei Key Lab. of Optical Information and Pattern Recognition (China)
Hubei Engineering Research Ctr. of Video Image and High Definition Projection (China)
Wuhan Institute of Technology (China)
Qingsong Zhao, Hebei Key Lab. of Optical Information and Pattern Recognition (China)
Hubei Engineering Research Ctr. of Video Image and High Definition Projection (China)
Xiuhua Zhang, Hebei Key Lab. of Optical Information and Pattern Recognition (China)
Hubei Engineering Research Ctr. of Video Image and High Definition Projection (China)


Published in SPIE Proceedings Vol. 11432:
MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Zhiguo Cao; Jie Ma; Zhong Chen; Yu Shi, Editor(s)

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