Research on alien wheel spherical distance size measurement algorithm based on machine vision

Dongmei Liu; Hua Niu; Yingjie Qin; Linfei Quan

doi:10.1117/12.3039186

5 August 2024 Research on alien wheel spherical distance size measurement algorithm based on machine vision

Dongmei Liu, Hua Niu, Yingjie Qin, Linfei Quan

Proceedings Volume 13226, Third International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2024); 132261B (2024) https://doi.org/10.1117/12.3039186
Event: 3rd International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2024), 2024, Changsha, China

Abstract

Aiming at the current situation that manual measurement of alien wheel raceway span size takes a long time and low measurement accuracy, this paper proposes a machine vision alien wheel raceway span size measurement algorithm, and studies the cross-spherical size measurement method based on the software HALCON machine vision algorithm with the standard alien wheel as the object. The edges_sub _pix subpixel edge detection operator is introduced to extract the subpixel edge through the canny filter, and secondly, the extracted sub-edge pixels are processed by contour screening and contour combination, and the combined XLD profile fo1mat is converted to regional region format, and the size fitting of the inner surface contour is performed. Through repeated measurements, the non-contact measurement method based on machine vision realizes fast and accurate measurement of the basic parameters of the alien wheel within the dimensional error range of0.05mm.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dongmei Liu, Hua Niu, Yingjie Qin, and Linfei Quan "Research on alien wheel spherical distance size measurement algorithm based on machine vision", Proc. SPIE 13226, Third International Conference on Advanced Manufacturing Technology and Manufacturing Systems (ICAMTMS 2024), 132261B (5 August 2024); https://doi.org/10.1117/12.3039186

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