A method of detection to the grinding wheel layer thickness based on computer vision

Yuchen Ji; Luhua Fu; Dujuan Yang; Lei Wang; Changjie Liu; Zhong Wang

doi:10.1117/12.2295482

12 January 2018 A method of detection to the grinding wheel layer thickness based on computer vision

Yuchen Ji, Luhua Fu, Dujuan Yang, Lei Wang, Changjie Liu, Zhong Wang

Proceedings Volume 10621, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems; 106211U (2018) https://doi.org/10.1117/12.2295482
Event: International Conference on Optical Instruments and Technology 2017, 2017, Beijing, China

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.

Citation Download Citation

Yuchen Ji, Luhua Fu, Dujuan Yang, Lei Wang, Changjie Liu, and Zhong Wang "A method of detection to the grinding wheel layer thickness based on computer vision", Proc. SPIE 10621, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems, 106211U (12 January 2018); https://doi.org/10.1117/12.2295482

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