Share Email Print
cover

Proceedings Paper • new

A method of detection to the grinding wheel layer thickness based on computer vision
Author(s): Yuchen Ji; Luhua Fu; Dujuan Yang; Lei Wang; Changjie Liu; Zhong Wang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

This paper proposed a method of detection to the grinding wheel layer thickness based on computer vision. A camera is used to capture images of grinding wheel layer on the whole circle. Forward lighting and back lighting are used to enables a clear image to be acquired. Image processing is then executed on the images captured, which consists of image preprocessing, binarization and subpixel subdivision. The aim of binarization is to help the location of a chord and the corresponding ring width. After subpixel subdivision, the thickness of the grinding layer can be calculated finally. Compared with methods usually used to detect grinding wheel wear, method in this paper can directly and quickly get the information of thickness. Also, the eccentric error and the error of pixel equivalent are discussed in this paper.

Paper Details

Date Published: 12 January 2018
PDF: 11 pages
Proc. SPIE 10621, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems, 106211U (12 January 2018); doi: 10.1117/12.2295482
Show Author Affiliations
Yuchen Ji, Tianjin Univ. (China)
Luhua Fu, Tianjin Univ. (China)
Dujuan Yang, Tianjin Univ. (China)
Lei Wang, Tianjin Univ. (China)
Changjie Liu, Tianjin Univ. (China)
Zhong Wang, Tianjin Univ. (China)


Published in SPIE Proceedings Vol. 10621:
2017 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems
Jigui Zhu; Hwa-Yaw Tam; Kexin Xu; Hai Xiao; Liquan Dong, Editor(s)

© SPIE. Terms of Use
Back to Top