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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
Citation: 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
shu

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
  • 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.
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    • References (20)
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