Laser & Optoelectronics Progress, Volume. 61, Issue 12, 1215002(2024)

Camera Exposure Optimization and Image Quality Assessment in Structured Light Measurement

Wei Zhang1,2、*, Jie Song1、**, Lü Sheng1, Zhilong Zeng1, Qi Fang1, and Shenghuai Wang1
Author Affiliations
  • 1College of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan 442002, Hubei , China
  • 2Hubei Zhongcheng Technology Industry Technique Academy Co., Ltd., Shiyan 442003, Hubei , China
  • show less
    Figures & Tables(21)
    Camera response function curve
    Response curve of camera for a single exposure
    Exposure time versus mean value of corrected pixel
    Otsu split. (a) Original image; (b) binary image after splitting; (c) measured object after splitting
    Measured object in auto exposure mode (grayscale expectation is 50)
    Histogram of the measured object image
    Structured light encoded images acquired in different ways. (a) Auto exposure mode; (b) optimal exposure
    Image sets of wooden model with exposure times of 0.05‒0.30 s
    Camera response curve for a single exposure of wooden model
    Mean pixel value of corrected wooden model image versus exposure time
    Otsu image segmentation. (a) Measured object image acquired at the optimal exposure time; (b) segmented image by Otsu
    Histogram of wooden model image (Iresult=0.1893 s)
    Camera response curve with the measured object being the automotive brake pedal joint ball
    Otsu image segmentation. (a) Measured object image acquired at the optimal exposure time; (b) segmented image by Otsu
    Histogram of joint sphere image (Iresult=0.2217 s)
    Binocular structured light measurement system
    Reconstruction model and results of automotive brake pedal joint ball. (a) 3D reconstruction model; (b) spherical fitting with fitted data
    • Table 1. Evaluation results of wooden model image acquired at the optimal exposure time

      View table

      Table 1. Evaluation results of wooden model image acquired at the optimal exposure time

      Evaluation projectActual valueEvaluation valueEvaluation parameterEvaluation elementEvaluation result parameter P /%
      Underexposure pixel pointsn1=6022N=480390(n1+n2)N=1.42p1=0.9858P=97.26
      Overexposure pixel pointsn2=802N=480390
      Ranger=180Tp=180W1=1p2=0.9593
      Mean pixel valuex¯=135.228Tp=180W2=0.9154
      Standard deviationδ=27.0029Δ=19.7532W3=0.9914
    • Table 2. Evaluation results of joint sphere image acquired at the optimal exposure time

      View table

      Table 2. Evaluation results of joint sphere image acquired at the optimal exposure time

      Evaluation projectActual valueEvaluation valueEvaluation parameterEvaluation elementEvaluation result parameter P /%
      Underexposure pixel pointsn1=0N=86096(n1+n2)N0p1=1P=94.42
      Overexposure pixle pointsn2=3N=86096
      Ranger=154Tp=180W1=0.8556p2=0.8885
      Mean pixel valuex¯=147.1Tp=180W2=0.8494
      Standard deviationδ=38.141Δ=36.5807W3=0.9604
    • Table 3. Measurement results at different exposure times

      View table

      Table 3. Measurement results at different exposure times

      Measurement itemCamera exposure time /sEvaluation result parameter P /%Matching pointMeasurement result /mm
      Diameter of the automotive brake pedal joint ballI1=0.121745.92642520.8940
      I2=0.171784.541365916.4400
      Iresult=0.221795.932041317.5408
      I3=0.271781.95869319.3000
      I4=0.321758.73532718.7550
    • Table 4. Comparison of measurement results by different devices

      View table

      Table 4. Comparison of measurement results by different devices

      Measurement itemMeasurement equipmentMeasurement result /mm
      Diameter of the automotive brake pedal joint ballBinocular structured light measurement system17.5408
      Non-contact commercial blue light photogrammetry17.5632
      Contact contour measuring instrument17.5234
    Tools

    Get Citation

    Copy Citation Text

    Wei Zhang, Jie Song, Lü Sheng, Zhilong Zeng, Qi Fang, Shenghuai Wang. Camera Exposure Optimization and Image Quality Assessment in Structured Light Measurement[J]. Laser & Optoelectronics Progress, 2024, 61(12): 1215002

    Download Citation

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

    Category: Machine Vision

    Received: Jun. 30, 2023

    Accepted: Aug. 22, 2023

    Published Online: May. 20, 2024

    The Author Email: Wei Zhang (zhangwei7766@163.com), Jie Song (ethan_songjie@163.com)

    DOI:10.3788/LOP231632

    CSTR:32186.14.LOP231632

    Topics