Laser & Optoelectronics Progress, Volume. 57, Issue 24, 241018(2020)

Power Function-Weighted Image Stitching Method Involving Improved SURF and Cell Acceleration

Xiaosa Zhao1, Xijiang Chen1、*, Ya Ban2, Dandan Zhang1, and Lexian Xu1
Author Affiliations
  • 1School of Resource & Environment Engineering, Wuhan University of Technology, Wuhan, Hubei 430079, China;
  • 2Chongqing Institute of Metrology and Quality Inspection, Chongqing 401120, China
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    Figures & Tables(22)
    Matching process of bidirectional consistency constraint
    Fusion process of slow in and out weighted fusion algorithm
    h(t) function curves under different conditions
    Power function weighted fusion process
    Power function weighting coefficient of Cell acceleration
    Matching results of image feature points under different luminance by different algorithms. (a) Traditional SURF algorithm; (b) proposed algorithm
    Matching results of image feature points under different angles by different algorithms. (a) Traditional SURF algorithm; (b) proposed algorithm
    Matching results of image feature points under different resolutions by different algorithms. (a) Traditional SURF algorithm; (b) proposed algorithm
    Matching results of image feature points under different scales by different algorithms. (a) Traditional SURF algorithm; (b) proposed algorithm
    Two original image sequences with different brightness. (a) Image 1; (b) image 2
    Comparison of results of three fusion algorithms on images for different brightness. (a) Slow in and slow out weighted fusion algorithm; (b) Ref. [16]; (c) proposed algorithm
    Two original image sequences with different angles. (a) Image 1; (b) image 2
    Comparison of results of three fusion algorithms on images from different angles. (a) Slow in and slow out weighted fusion algorithm; (b) Ref. [16]; (c) proposed algorithm
    Two original image sequences. (a)Image 1 (b)Image 2
    Comparison of results of three fusion algorithms on images with different resolutions. (a) Gradual fade weighted fusion algorithm; (b) Ref. [16]; (c) proposed algorithm
    Two original image sequences of different heights. (a) Image 1; (b) image 2
    Comparison of results of three fusion algorithms on images of different heights. (a) Slow in and slow out weighted fusion algorithm; (b) Ref. [16]; (c) proposed algorithm
    Time-consuming comparison histogram of 4 groups of experiments
    MSE comparison of related algorithms
    Information entropy data comparison
    • Table 1. Test results of K values

      View table

      Table 1. Test results of K values

      Test imageRotate and zoomBrightnessBlurryPerspective
      Optimal threshold0.970.960.980.99
    • Table 2. Data comparison of related algorithms

      View table

      Table 2. Data comparison of related algorithms

      AlgorithmDifferent brightnessDifferent anglesDifferent resolutionsDifferent scales
      Correct matching rate /%Time /sCorrect matching rate /%Time/sCorrectmatching rate /%Time/sCorrectmatching rate /%Time/s
      Traditional SURF algorithm74.073.5965.523.5870.524.1678.253.49
      Proposed algorithm85.182.0176.802.0282.102.1090.152.00
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    Xiaosa Zhao, Xijiang Chen, Ya Ban, Dandan Zhang, Lexian Xu. Power Function-Weighted Image Stitching Method Involving Improved SURF and Cell Acceleration[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241018

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    Paper Information

    Category: Image Processing

    Received: May. 6, 2020

    Accepted: Jun. 24, 2020

    Published Online: Dec. 30, 2020

    The Author Email: Chen Xijiang (cxj_0421@163.com)

    DOI:10.3788/LOP57.241018

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