High-precision measurement of automobile hub critical dimensions using minification projection segmentation algorithm

Rui Ma; Ruijie Ma; Yiqing Zou

doi:10.1117/12.3036384

22 November 2024 High-precision measurement of automobile hub critical dimensions using minification projection segmentation algorithm

Rui Ma, Ruijie Ma, Yiqing Zou

Author Affiliations +

Proceedings Volume 13238, Advanced Optical Imaging Technologies VII; 132380R (2024) https://doi.org/10.1117/12.3036384
Event: SPIE/COS Photonics Asia, 2024, Nantong, Jiangsu, China

Conference Poster

Abstract

The automobile hub plays a crucial role in supporting the weight of the entire vehicle and transmitting power, and the measurement accuracy of critical dimensions is closely related to the safe operation. A high-precision measurement method for critical dimensions of automobile hubs based on the minification projection segmentation algorithm is proposed in this paper. Firstly, the automobile hub point cloud captured by the structured light camera is preprocessed and the surface point cloud is extracted. Then, the cover end point cloud and the bolt hole point cloud are separated through the minification projection segmentation algorithm to calculate the critical dimensions of the automobile hub. Experimental results show that the detection accuracy of the critical dimensions using the method proposed in this paper can reach 100 microns.

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

Citation Download Citation

Rui Ma, Ruijie Ma, and Yiqing Zou "High-precision measurement of automobile hub critical dimensions using minification projection segmentation algorithm", Proc. SPIE 13238, Advanced Optical Imaging Technologies VII, 132380R (22 November 2024); https://doi.org/10.1117/12.3036384

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