Surface segmentation on countersink using point cloud

Jiming Sa; Chi Zhang; Yilun An; Hanwen Gu; Yuyan Song; Shaogang Wan

doi:10.1117/12.2668444

20 April 2023 Surface segmentation on countersink using point cloud

Jiming Sa, Chi Zhang, Yilun An, Hanwen Gu, Yuyan Song, Shaogang Wan

Proceedings Volume 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022); 1260236 (2023) https://doi.org/10.1117/12.2668444
Event: International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 2022, Changchun, China

Abstract

Countersink quality detection using point cloud is an effective way to detect defect of countersink with high precision of point cloud. This paper proposes an algorithm for segmenting surface of countersink using point cloud. For features of countersink and requirement for Countersink quality detection, this algorithm based on normal vector estimation and smoothing operator. Experimental results demonstrate that the proposed algorithm can be considered as an accuracy, precision, and real-time approach for point cloud segmentation with inevitable disturbances in terms of the segmentation quality and CPU time.

Citation Download Citation

Jiming Sa, Chi Zhang, Yilun An, Hanwen Gu, Yuyan Song, and Shaogang Wan "Surface segmentation on countersink using point cloud", Proc. SPIE 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 1260236 (20 April 2023); https://doi.org/10.1117/12.2668444

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