Laser & Optoelectronics Progress, Volume. 59, Issue 16, 1601004(2022)

Preliminary Study on Structured Light Strip Center Extraction Method Based on Underwater Structured Light Scanning System

Benxing Gong1、* and Guoyu Wang2
Author Affiliations
  • 1School of Electrical & Information Engineering, Jiangsu University of Technology, Changzhou 213000, Jiangsu , China
  • 2College of Electrical Information Engineering, Ocean University of China, Qingdao 266000, Shandong , China
  • show less

    Scattering and an uneven distribution of reflected light owing to the target surface texture are the main issues in extracting the structured light strip center in underwater. Herein, we proposed a new approach for underwater information acquisition. In this method, the targets are scanned using structured light for the convolution process, thereby solving the nonuniform distribution of a backscattered background because of nonuniform illumination. Furthermore, the uncertainty of noise fluctuations is reduced from a statistical viewpoint. A virtual aperture method is proposed to eliminate backscattering using this system. Moreover, a method for improving the accuracy of the center extraction is proposed using the restored image to remove the target surface texture, by using the method, conventional center extraction methods can be applied to the underwater targets containing texture, thus widening their application range. Underwater experiments were performed to verify the feasibility and effectiveness of the proposed method.

    Tools

    Get Citation

    Copy Citation Text

    Benxing Gong, Guoyu Wang. Preliminary Study on Structured Light Strip Center Extraction Method Based on Underwater Structured Light Scanning System[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1601004

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Aug. 10, 2021

    Accepted: Aug. 17, 2021

    Published Online: Jul. 22, 2022

    The Author Email: Gong Benxing (benxinggong@jsut.edu.cn)

    DOI:10.3788/LOP202259.1601004

    Topics