Laser stripe center extraction algorithm based on gray weight model

HUANG Lingfeng; LIU Guandong; ZHANG Chao; GAN Hong; LUO Wenting; LI Lin

doi:10.7510/jgjs.issn.1001-3806.2020.02.009

LASER TECHNOLOGY > 2020 > 44(2): 190-195. > DOI: 10.7510/jgjs.issn.1001-3806.2020.02.009

HUANG Lingfeng, LIU Guandong, ZHANG Chao, GAN Hong, LUO Wenting, LI Lin. Laser stripe center extraction algorithm based on gray weight model[J]. LASER TECHNOLOGY, 2020, 44(2): 190-195. DOI: 10.7510/jgjs.issn.1001-3806.2020.02.009

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Laser stripe center extraction algorithm based on gray weight model

1.
Department of Transportation and Civil Engineering, Fujian Agricultural and Forestry University, Fuzhou 350100, China
2.
Fujian Provincial Expressway Technology Consulting Co. Ltd., Fuzhou 350100, China

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Received Date: May 26, 2019
Revised Date: July 17, 2019
Published Date: March 24, 2020

Graphical Abstract

Abstract

Abstract

In order to extract the center of laser stripe accurately in noisy environment, the improved gray-scale weight model was adopted to extract subpixel centers of laser fringes. The image acquired by 3-D laser imaging system was processed by means of mean threshold method and the improved gray weight model. The method was compared with the traditional algorithm. The results show that, the algorithm can extract laser fringe region more completely. The average fitting correlation coefficient is 0.9809 (closest to 1). The maximum difference of average column coordinates is 0.4518pixel (closest to 0). The average coefficient of variation is 0.0062 (closest to 0). Compared with other methods, it has better results. It can suppress the influence of multi-noise environment on laser stripe extraction and extract subpixel centers of laser fringes accurately. It has good robustness. The algorithm provides a reference for extracting the center of laser fringes accurately.
- image processing,
- laser stripe,
- gray weight model,
- sub-pixel center

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References

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Laser stripe center extraction algorithm based on gray weight model

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