Laser & Optoelectronics Progress, Volume. 62, Issue 12, 1237002(2025)
Algorithm for Correcting Odd-Even Line Misalignment in Images from the Confocal Fundus Camera
Fig. 2. Relationship diagram between galvanometer synchronization signal and scanning velocity signal
Fig. 3. Comparison effect between misaligned and aligned images. (a) Aligned image; (b) misaligned image
Fig. 4. Schematic diagram of the template image and target image matching process
Fig. 5. Flow chart of image misalignment correction algorithm based on normalized sum of squared difference
Fig. 6. 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)
Fig. 7. Relationship between ∆Xi and NSSD in the misalignment correction of a single reconstructed image
Fig. 8. Relationship between the number of iterations for different targets in real-time calibration and ∆tk
Fig. 9. Relationship between the number of iterations for different targets in real-time calibration and TWP
Fig. 10. Reconstructed images of different targets with varying iteration numbers during real-time
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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
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)
CSTR:32186.14.LOP242154