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Laser & Optoelectronics Progress, Volume. 58, Issue 24, 2410003(2021)

Scale-Invariant Feature Transform-Based Heterogeneous Image Registration Method

Pengnan Liu1, Dongdong Xu2、*, and Chunmeng Bai2
Author Affiliations
  • 1Shandong Gold Mining (Laixi) Co., Ltd., Qingdao, Shandong 266000, China
  • 2School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, Jiangsu 221000, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (9)
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    References (32)
    Cited By (2)
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    Figures & Tables(9)
    Gaussian pyramid and Gaussian difference pyramid

    Fig. 1. Gaussian pyramid and Gaussian difference pyramid

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    Schematic diagram of extreme point detection

    Fig. 2. Schematic diagram of extreme point detection

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    Experiment results of edge and point feature extraction. (a) Original image; (b) phase consistency method; (c) Sobel; (d) Canny

    Fig. 3. Experiment results of edge and point feature extraction. (a) Original image; (b) phase consistency method; (c) Sobel; (d) Canny

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    Generation of descriptors in SIFT algorithm

    Fig. 4. Generation of descriptors in SIFT algorithm

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    2×2+2 sub areas proposed in this paper

    Fig. 5. 2×2+2 sub areas proposed in this paper

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    Rotation process of different shapes

    Fig. 6. Rotation process of different shapes

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    Experiment results of feature point extraction. (a) Proposed method; (b) SIFT; (c) SAR-SIFT; (d) PRO-SIFT

    Fig. 7. Experiment results of feature point extraction. (a) Proposed method; (b) SIFT; (c) SAR-SIFT; (d) PRO-SIFT

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    Feature matching results. (a)(b) Proposed method; (c)(d) SIFT; (e)(f) SAR-SIFT; (g)(h) PRO-SIFT

    Fig. 8. Feature matching results. (a)(b) Proposed method; (c)(d) SIFT; (e)(f) SAR-SIFT; (g)(h) PRO-SIFT

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    • Table 1. Comparison of matching results of 9 kinds of NIR and VIS images

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      Table 1. Comparison of matching results of 9 kinds of NIR and VIS images

      Type of imageProposed methodSIFTSAR-SIFTPRO-SIFT
      Number of matching pointsTime /sNumber of matching pointsTime /sNumber of matching pointsTime /sNumber of matching pointsTime /s
      Country59910.1115412.52712.9534520.44
      Field107211.0438715.211412.5445531.95
      Forest260426.60136052.803602.612076188.77
      Indoor2272.121362.731412.681893.98
      Mountain17708.2140913.02942.2844120.92
      Old building7294.403299.452163.6169118.09
      Street149111.1048912.451772.4275419.86
      Urban23009.18135418.126854.07124821.22
      Water198112.53109624.104563.38174955.73
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    Pengnan Liu, Dongdong Xu, Chunmeng Bai. Scale-Invariant Feature Transform-Based Heterogeneous Image Registration Method[J]. Laser & Optoelectronics Progress, 2021, 58(24): 2410003

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    Paper Information

    Category: Image Processing

    Received: Nov. 16, 2020

    Accepted: Mar. 2, 2021

    Published Online: Nov. 24, 2021

    The Author Email: Dongdong Xu (1564544956@qq.com)

    DOI:10.3788/LOP202158.2410003

    Topics

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