A measurement method of curved glass thickness based on 3D laser vision

Hanyu Hong; Shuhan Zhao; Qingsong Zhao; Xiuhua Zhang

doi:10.1117/12.2537642

14 February 2020 A measurement method of curved glass thickness based on 3D laser vision

Hanyu Hong, Shuhan Zhao, Qingsong Zhao, Xiuhua Zhang

Proceedings Volume 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 114320V (2020) https://doi.org/10.1117/12.2537642
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

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.

Citation Download Citation

Hanyu Hong, Shuhan Zhao, Qingsong Zhao, and Xiuhua Zhang "A measurement method of curved glass thickness based on 3D laser vision", Proc. SPIE 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 114320V (14 February 2020); https://doi.org/10.1117/12.2537642

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available