Centerline Extraction of Structured Light Stripe Under Complex Interference

被引：0

作者：

Zhou Y. ^{[1
]}

Meng X. ^{[2
]}

Jiang D. ^{[3
]}

Tang H. ^{[1
]}

机构：

[1] Department of Electrical Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai

[2] Shanghai Fangling Computer Software Co., Ltd., Shanghai

[3] School of Computer Science, Jiangsu University of Science and Technology, Zhenjiang

来源：

Zhongguo Jiguang/Chinese Journal of Lasers | 2020年 / 47卷 / 12期

关键词：

Centerline extraction; Density clustering; Image seam; Line structured light; Measurement;

D O I：

10.3788/CJL202047.1204004

中图分类号：

学科分类号：

摘要：

A new structured light stripe centerline extraction algorithm is proposed. This algorithm can stably extract the stripe centerline under different interference environments and has the ability to repair broken lines. Using the unsupervised feature of the density clustering algorithm, even if there is a broken line or noise interference, it can still quickly cluster the set of candidate pixels on the centerline, greatly reducing the search range. Then, after experimental data analysis, it is found that the centerline of different scenes also has the features of high brightness and tend to be continuous. The energy function is defined by the Euclidean distance between pixels and the brightness value to model the feature, and the shortest path search algorithm is iteratively converged to accurately extract the centerline. The experimental results show that in three strongly disturbed structured light images, the algorithm extracts the centerline with a root mean square error of 0.4 pixel, the processing speed is 12.48 times faster than the image seam algorithm with the same strong anti-interference ability. The proposed algorithm greatly improves the anti-interference ability while maintaining fast operation speed and high accuracy, and effectively reduces the restrictions of using structured light measurement in industry. © 2020, Chinese Lasers Press. All right reserved.

引用

共 24 条

[1] Li Y H, Zhou J B, Liu L J., Research progress of the line structured light measurement technique, Journal of Hebei University of Science and Technology, 39, 2, pp. 115-124, (2018)
[2] Zhan K F, Chen W J, Li W S, Et al., Line laser 3D scene reconstruction system and error analysis, Chinese Journal of Lasers, 45, 12, (2018)
[3] Li Y Y, Zhang Z Y, Yuan L., Survey on linear structured light stripe center extraction, Laser & Optoelectronics Progress, 50, 10, (2013)
[4] Hu B, Li D H, Jin G, Et al., New method for obtaining the center of structured light stripe by directi on template, Computer Engineering and Applications, 38, 11, pp. 59-60, (2002)
[5] Steger C., An unbiased detector of curvilinear structures, IEEE Transactions on Pattern Analysis and Machine Intelligence, 20, 2, pp. 113-125, (1998)
[6] Yang W., Research on method for extracting center of structured light stripe, (2009)
[7] Cai H Y, Feng Z D, Huang Z H., Centerline extraction of structured light stripe based on principal component analysis, Chinese Journal of Lasers, 42, 3, (2015)
[8] Li T T, Yang F, Li S G, Et al., Extraction method of line-structured light stripe center based on gauss-Lorenz decomposition peak fitting, Laser & Optoelectronics Progress, 56, 7, (2019)
[9] Li W M, Peng G, Gao X Y, Et al., Fast extraction algorithm for line laser strip centers, Chinese Journal of Lasers, 47, 3, (2020)
[10] Jang J H, Hong K S., Detection of curvilinear structures and reconstruction of their regions in gray-scale images, Pattern Recognition, 35, 4, pp. 807-824, (2002)

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