An Efficient Rivet Flushness Measurement Method Based on Image-to-Point-Cloud Mapping

Ronghui Guo; Yihua Zhang; Haihua Cui; Xiaosheng Cheng; Lanzhu Li

doi:10.3788/LOP202158.2012002

[1] Li B, Wang X F, Yang H P et al. Aircraft rivets defect recognition method based on magneto-optical images[C]. //Proceedings of the 2010 International Conference on Machine Vision and Human-Machine Interface. [S.l.:s.n.], 788-791(2010).

[2] Jiang T, Cheng X S, Cui H H et al. Dual-camera-based method for identification and location of scattered self-plugging rivets for robot grasping[J]. Measurement, 134, 688-697(2019).

[3] Jiang T, Fang H, Dong X L. Construction of visual inspection system for riveting quality of aircraft skin[J]. Aeronautical Manufacturing Technology, 60, 88-91(2017).

[4] Sun Y P, Wang H Y, Zhang C. Research and analysis of riveting quality detection algorithm for fuselage skin[J]. Journal of Shenyang Aerospace University, 36, 69-76(2019).

[5] Xie Q, Lu D N, Huang A Y et al. RRCNet: rivet region classification network for rivet flush measurement based on 3-D point cloud[J]. IEEE Transactions on Instrumentation and Measurement, 70, 1-12(2021).

[6] Xia R B, Zhao J B, Zhang T Y et al. Detection method of manufacturing defects on aircraft surface based on fringe projection[J]. Optik, 208, 164332(2020).

[7] Chen S L, Xia R B, Zhao J B et al. Visual display method for grating projection measurement system[J]. Modular Machine Tool & Automatic Manufacturing Technique, 40-44, 49(2017).

[8] Xie Q, Lu D N, Du K P et al. Aircraft skin rivet detection based on 3D point cloud via multiple structures fitting[J]. Computer-Aided Design, 120, 102805(2020).

[9] Chen S L, Xia R B, Zhao J B et al. A hybrid method for ellipse detection in industrial images[J]. Pattern Recognition, 68, 82-98(2017).

[10] Fornaciari M, Prati A, Cucchiara R. A fast and effective ellipse detector for embedded vision applications[J]. Pattern Recognition, 47, 3693-3708(2014).

[11] Prasad D K, Leung M K H, Cho S Y. Edge curvature and convexity based ellipse detection method[J]. Pattern Recognition, 45, 3204-3221(2012).

[12] Cao G P, Liu X S, Liu N et al. Segmentation of subway tunnel wall surface objects based on laser 3D point cloud[J]. Acta Optica Sinica, 40, 2110001(2020).

[13] Lü M, Meng Y. Study on point cloud management strategy based on octree-like index[J]. Laser & Optoelectronics Progress, 57, 141025(2020).

[14] Guo Q D, Quan Y M. Depth image point cloud segmentation using spatial projection[J]. Acta Optica Sinica, 40, 1815001(2020).

[15] Li R Z, Liu Z W. New segmentation method combining three-dimensional point cloud skeleton points and feature points[J]. Laser & Optoelectronics Progress, 57, 121104(2020).

[16] Li Z J, Cui H H, Liu C Y et al. A shape measurement method based on automatic multiple exposure surface structured light[J]. Acta Optica Sinica, 38, 1112004(2018).

[17] Zhang L, Chen Q, Zuo C et al. High dynamic range 3D shape measurement based on the intensity response function of a camera[J]. Applied Optics, 57, 1378-1386(2018).

[18] Li D, Kofman J. Adaptive fringe-pattern projection for image saturation avoidance in 3D surface-shape measurement[J]. Optics Express, 22, 9887-9901(2014).

[19] Zhang S, Yau S T. High dynamic range scanning technique[J]. Optical Engineering, 48, 033604(2009).