Abstract
Parts assembly clearance measurement is facing a trend towards high-precision and noncontact. This work aims to measure clearance by image processing based on machine vision. The machine vision system is to highlight the assembly clearance region. Hence, clearance regions are segmenting, and rotating to vertical, then get the geometric center of the region and the inclination relative to the horizontal direction, the two points intersecting the boundary of the region can be obtained through the linear relationship, the clearance width is the pixel distance between two points mapped to the actual width in the world coordinate system. Results of the measurement results show that the system works effectively and meets the requirements, which makes it suitable for industrial applications.
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Acknowledgment
This work was supported by The Guiding project of of Hubei Provincial Department of Education (No. B2020080).
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Che, K., Lu, D., Guo, J., Chen, Y., Peng, G., Xu, L. (2022). Noncontact Clearance Measurement Research Based on Machine Vision. In: Wang, Y., Martinsen, K., Yu, T., Wang, K. (eds) Advanced Manufacturing and Automation XI. IWAMA 2021. Lecture Notes in Electrical Engineering, vol 880. Springer, Singapore. https://doi.org/10.1007/978-981-19-0572-8_29
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DOI: https://doi.org/10.1007/978-981-19-0572-8_29
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