Machine-vision-based automatic levels compensation error verification

Yucheng Wang; Haibo Liu

doi:10.1117/12.2667792

27 February 2023 Machine-vision-based automatic levels compensation error verification

Yucheng Wang, Haibo Liu

Proceedings Volume 12585, International Conference on Precision Instruments and Optical Engineering (PIOE 2022); 1258516 (2023) https://doi.org/10.1117/12.2667792
Event: International Conference on Precision Instruments and Optical Engineering (PIOE 2022), 2022, Guangzhou, China

Abstract

Algorithms for locating the center position of the crosshair image are studied, and a method based on machine vision to verify the compensation error of automatic levels is proposed. An illumination device is added behind the reticle of the automatic level. The reticle image is focused to infinity, imaged on the focal plane of the lens of the collimator, and images are captured using a CCD camera. Moreover, the necessary processing is performed to locate the center position of the crosshair image by the gray squared center of gravity method and the iterative weighted fitting method to obtain the subpixel level position coordinates. The metrological verification of the compensation error is completed after calibrating the angular grid values of the CCD in the x and y directions, the error angles of the x and y axes, and the parameters of the collimator coordinate system and attitude. The experimental results show that the machine vision-based method meets the requirements of the metrological verification of the compensation error of automatic levels, and the accuracy of the measurement results is higher than the traditional optical method.

Citation Download Citation

Yucheng Wang and Haibo Liu "Machine-vision-based automatic levels compensation error verification", Proc. SPIE 12585, International Conference on Precision Instruments and Optical Engineering (PIOE 2022), 1258516 (27 February 2023); https://doi.org/10.1117/12.2667792

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KEYWORDS

Reticles

Collimators

Image processing

CCD cameras

Computer simulations

Automatic alignment

Image segmentation

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