Infrared and Laser Engineering, Volume. 51, Issue 6, 20210950(2022)

Image registration algorithm using SURF feature and local cross-correlation information

Zhongjun Wang1 and Yanfeng Chao2
Author Affiliations
  • 1School of Information Engineering, KaiFeng University, Kaifeng 475004, China
  • 2Henan Information Center, Zhengzhou 450003, China
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    Figures & Tables(7)
    Registration process
    Example of SURF algorithm feature point registration
    Image fine registration process based on local cross-correlation information
    Process of sliding window acquisition
    Experimental object
    Experimental results of different image registration methods
    • Table 1. Experimental results of different image registration methods

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      Table 1. Experimental results of different image registration methods

      Group Registration methodRegistration error/pixel Registration duration/s
      AProposed0.07236.907
      SURF0.37643.557
      CCIC-12.105
      ORB0.66731.112
      SIFT0.38246.731
      BProposed0.10525.403
      SURF0.35103.206
      CCIC-11.906
      ORB0.50621.105
      SIFT0.33565.419
      CProposed0.09868.032
      SURF0.27423.908
      CCIC-12.231
      ORB0.43721.126
      SIFT0.28207.026
      DProposed0.11539.430
      SURF0.26377.531
      CCIC-21.330
      ORB0.58161.335
      SIFT0.243 212.692
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    Zhongjun Wang, Yanfeng Chao. Image registration algorithm using SURF feature and local cross-correlation information[J]. Infrared and Laser Engineering, 2022, 51(6): 20210950

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    Paper Information

    Category: Image processing

    Received: Dec. 11, 2021

    Accepted: --

    Published Online: Dec. 20, 2022

    The Author Email:

    DOI:10.3788/IRLA20210950

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