• Laser & Optoelectronics Progress
  • Vol. 59, Issue 16, 1601004 (2022)
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
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    DOI: 10.3788/LOP202259.1601004 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Structured light measurement system
    Fig. 1. Structured light measurement system
    Scanning imaging idea based on structured light illumination mode
    Fig. 2. Scanning imaging idea based on structured light illumination mode
    Determination of window mask. (a) Cross-sectional intensity distribution of the projected light strip and the preset threshold of the window mask; (b) gray value distribution along the x direction (dotted line) after smoothing and filtering; (c) single-frame image without backscattered light
    Fig. 3. Determination of window mask. (a) Cross-sectional intensity distribution of the projected light strip and the preset threshold of the window mask; (b) gray value distribution along the x direction (dotted line) after smoothing and filtering; (c) single-frame image without backscattered light
    Flow chart of obtaining illumination-independent image and center extraction
    Fig. 4. Flow chart of obtaining illumination-independent image and center extraction
    Experimental setup
    Fig. 5. Experimental setup
    Imaging in turbid water. (a) Pan-lighting image; (b) structured-light scanned image
    Fig. 6. Imaging in turbid water. (a) Pan-lighting image; (b) structured-light scanned image
    Backscattering removal using “virtual aperture”. (a) Integral composited image; (b) backscattering removal image; (c) restored image
    Fig. 7. Backscattering removal using “virtual aperture”. (a) Integral composited image; (b) backscattering removal image; (c) restored image
    Restored images and average gradient images before and after removing backscattering. (a) Restored image before backscattering removal; (b) restored image after backscattering removal; (c) average gradient image of Fig. 8 (a); (d) average gradient image of Fig. 8 (b)
    Fig. 8. Restored images and average gradient images before and after removing backscattering. (a) Restored image before backscattering removal; (b) restored image after backscattering removal; (c) average gradient image of Fig. 8 (a); (d) average gradient image of Fig. 8 (b)
    Experimental results of center extraction. (a) Single-frame image after backscatterring removal by “virtual aperture” method; (b) center extraction result using the “direction template” method; (c) light stripe image after texture removal by applying illumination-independent image; (d) center extraction result using the “direction template” method after texture removal; (e) position of the center line of Fig. 9 (d) in the light strip
    Fig. 9. Experimental results of center extraction. (a) Single-frame image after backscatterring removal by “virtual aperture” method; (b) center extraction result using the “direction template” method; (c) light stripe image after texture removal by applying illumination-independent image; (d) center extraction result using the “direction template” method after texture removal; (e) position of the center line of Fig. 9 (d) in the light strip
    Sub channel processing results. (a) Pan-illumination image; (b) integral composited image; (c) restored image
    Fig. 10. Sub channel processing results. (a) Pan-illumination image; (b) integral composited image; (c) restored image
    ParameterPan-illumination imageIntegral composited imageRestored image
    UCIQE0.29660.40790.4156
    UIQM2.184520.703720.8307
    Table 1. Evaluation of color images
    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
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