Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Acta Optica Sinica, Volume. 38, Issue 11, 1112005(2018)

Highlight Removal of High Reflectivity Workpiece and Vision Measurement Based on Polarization Information

Zhenmin Zhu1、*, Shuang Pei1、*, Shiming Chen1, and Fumin Zhang2
Author Affiliations
  • 1 School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang, Jiangxi 330013, China
  • 2 State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (16)
    Equations (0)
    References (0)
    Cited By (4)
    Tools
    Paper Information
    Topics
    Figures & Tables(16)
    p type polarization light

    Fig. 1. p type polarization light

    Download full size
    Image acquisition system for vision measurement based on polarization device

    Fig. 2. Image acquisition system for vision measurement based on polarization device

    Download full size
    Image acquisition on object surface under different polarization angles

    Fig. 3. Image acquisition on object surface under different polarization angles

    Download full size
    White balance processing of image and corresponding histogram features. (a) Color image; (b) histogram of color image; (c) white balanced image; (d) histogram of white balanced image

    Fig. 4. White balance processing of image and corresponding histogram features. (a) Color image; (b) histogram of color image; (c) white balanced image; (d) histogram of white balanced image

    Download full size
    Flowchart of mean-shift segmentation algorithm based on dark channel images

    Fig. 5. Flowchart of mean-shift segmentation algorithm based on dark channel images

    Download full size
    Images acquired under different polarization angles, image with highlight components and pixel luminance distribution in two-color reflection model

    Fig. 6. Images acquired under different polarization angles, image with highlight components and pixel luminance distribution in two-color reflection model

    Download full size
    BP neural network model for highlight removal based on polarization information

    Fig. 7. BP neural network model for highlight removal based on polarization information

    Download full size
    Flowchart of image highlight removal based on polarization information

    Fig. 8. Flowchart of image highlight removal based on polarization information

    Download full size
    Effect of image highlight removal based on polarization information. (a) Image acquired under optimal polarization angle; (b) pixel luminance distribution corresponding to (a); (c) image after highlight removal; (d) pixel luminance distribution corresponding to (c)

    Fig. 9. Effect of image highlight removal based on polarization information. (a) Image acquired under optimal polarization angle; (b) pixel luminance distribution corresponding to (a); (c) image after highlight removal; (d) pixel luminance distribution corresponding to (c)

    Download full size
    Detail comparison of SIFT feature extraction. (a) SIFT feature extraction of image under optimal polarization angle; (b) SIFT feature extraction of image under optimal polarization angle after treatment by RANSAC algorithm; (c) SIFT feature extraction of image after highlight removal; (d) SIFT feature extraction of image after highlight removal and treatment by RANSAC algorithm

    Fig. 10. Detail comparison of SIFT feature extraction. (a) SIFT feature extraction of image under optimal polarization angle; (b) SIFT feature extraction of image under optimal polarization angle after treatment by RANSAC algorithm; (c) SIFT feature extraction of image after highlight removal; (d) SIFT feature extraction of image after highlight removal and treatment by RANSAC algorithm

    Download full size
    Detail comparison of SURF feature extraction. (a) SURF feature extraction of image under optimal polarization angle; (b) SURF feature extraction of image under optimal polarization angle after treatment by RANSAC algorithm; (c) SURF feature extraction of image after highlight removal; (d) SURF feature extraction of image after highlight removal and treatment by RANSAC algorithm

    Fig. 11. Detail comparison of SURF feature extraction. (a) SURF feature extraction of image under optimal polarization angle; (b) SURF feature extraction of image under optimal polarization angle after treatment by RANSAC algorithm; (c) SURF feature extraction of image after highlight removal; (d) SURF feature extraction of image after highlight removal and treatment by RANSAC algorithm

    Download full size
    Boundary contours extracted under different conditions. (a) After highlight removal; (b) under optimal polarization angle

    Fig. 12. Boundary contours extracted under different conditions. (a) After highlight removal; (b) under optimal polarization angle

    Download full size
    Three-dimensional space coordinates of feature points of experimental object’s contour

    Fig. 13. Three-dimensional space coordinates of feature points of experimental object’s contour

    Download full size

    • Table 1. Number of feature points on workpiece surface under different conditions

      View table

      Table 1. Number of feature points on workpiece surface under different conditions

      ConditionOptimal polarization angleImage highlight removal
      ILeftIRightILeftIRight
      SIFT7085150162
      SIFT matching7070150150
      SIFT matching after RANASC55558989
      SURF8293180205
      SURF matching8282180180
      SURF matching after RANASC6565165165

    • Table 2. Coordinates of feature points for Sobel edge detection and corresponding world coordinates

      View table

      Table 2. Coordinates of feature points for Sobel edge detection and corresponding world coordinates

      No.(x, y)(X, Y, Z)Space length /mm
      1(917.5, 719.5)(467.18, 1192.5, -18412)11.07
      2(747.5, 719.5)(456.12, 1192.5, -18412)11.28
      3(659.5, 567.5)(450.37, 1182.8, -18413)11.34
      4(747.5, 413.5)(456.08, 1173, -18414)11.07
      5(917.5, 411.5)(467.14, 1172.9, -18414)11.50
      6(1005.5, 567.5)(472.89, 1182.8, -18413)11.23

    • Table 3. Comparison of measurement accuracy based on image highlight removal

      View table

      Table 3. Comparison of measurement accuracy based on image highlight removal

      ConditionSide length /mmMeasurement accuracy /mm
      Optimal polarization11.250.75
      Image highlight removal10.091.91
    Tools

    Get Citation

    Copy Citation Text

    Zhenmin Zhu, Shuang Pei, Shiming Chen, Fumin Zhang. Highlight Removal of High Reflectivity Workpiece and Vision Measurement Based on Polarization Information[J]. Acta Optica Sinica, 2018, 38(11): 1112005

    Download Citation

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

    Category: Instrumentation, Measurement and Metrology

    Received: May. 7, 2018

    Accepted: Jun. 19, 2018

    Published Online: May. 9, 2019

    The Author Email:

    DOI:10.3788/AOS201838.1112005

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology