Laser & Optoelectronics Progress, Volume. 62, Issue 12, 1237002(2025)

Algorithm for Correcting Odd-Even Line Misalignment in Images from the Confocal Fundus Camera

Duo Xu1, Fuxin Cai2, Tao Peng3, Ming Li2, Lei Wang4, and Xinjian Chen1、*
Author Affiliations
  • 1School of Electronic and Information Engineering, Soochow University, Suzhou 215006, Jiangsu , China
  • 2Suzhou Big Vision Medical Imaging Technology Co., Ltd., Suzhou 215006, Jiangsu , China
  • 3School of Future Science and Engineering, Soochow University, Suzhou 215222, Jiangsu , China
  • 4The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou 215006, Jiangsu , China
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    Figures & Tables(11)
    Optical system diagram of confocal fundus camera
    Relationship diagram between galvanometer synchronization signal and scanning velocity signal
    Comparison effect between misaligned and aligned images. (a) Aligned image; (b) misaligned image
    Schematic diagram of the template image and target image matching process
    Flow chart of image misalignment correction algorithm based on normalized sum of squared difference
    Correction results of misalignment in reconstructed images of concentric ring targets. (a) Uncorrected image; (b) corrected image; (c) grayscale data separation results for even and odd rows in Fig. 6(a); (d) grayscale data extraction results for even and odd rows in the red line section of Fig. 6(a); (e) grayscale data extraction results for even and odd rows in the red line section of Fig. 6(b); (f) grayscale difference curve for even and odd rows in the red line section of Fig. 6(a); (g) grayscale difference curve for even and odd rows in the red line section of Fig. 6(b)
    Relationship between ∆Xi and NSSD in the misalignment correction of a single reconstructed image
    Relationship between the number of iterations for different targets in real-time calibration and ∆tk
    Relationship between the number of iterations for different targets in real-time calibration and TWP
    Reconstructed images of different targets with varying iteration numbers during real-time
    • Table 1. Parameters of the model obtained by fitting the ∆tk set for different types of samples

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      Table 1. Parameters of the model obtained by fitting the ∆tk set for different types of samples

      Sample targetω0αβR2
      Resolution target126.0448-135.4656-1.03660.9999
      Model eye125.8021-127.8764-0.92500.9993
      Fingerprint125.7886-151.3704-1.18260.9981
      Characters126.1900-134.7062-1.02900.9970
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    Duo Xu, Fuxin Cai, Tao Peng, Ming Li, Lei Wang, Xinjian Chen. Algorithm for Correcting Odd-Even Line Misalignment in Images from the Confocal Fundus Camera[J]. Laser & Optoelectronics Progress, 2025, 62(12): 1237002

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    Paper Information

    Category: Digital Image Processing

    Received: Oct. 22, 2024

    Accepted: Dec. 12, 2024

    Published Online: Jun. 16, 2025

    The Author Email: Xinjian Chen (xjchen@suda.edu.cn)

    DOI:10.3788/LOP242154

    CSTR:32186.14.LOP242154

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