Optoelectronic Technology, Volume. 44, Issue 1, 72(2024)

Second‑order Anisotropic Gaussian Directional Derivative Filters for Blob Detection

Wenya YU1, Jie REN1, Weichuan ZHANG1, and Lei LU2
Author Affiliations
  • 1School of Electronics and Information, Xi'an Polytechnic University, Xi'an 70048, CHN
  • 2School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an,710049, CHN
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    Figures & Tables(8)
    SOAGDD filters along eight orientations with different anisotropic factors and scales
    Illustration diagram of image response
    Example of pyramid images
    Illustration of blob selection
    Overall flow chart
    Illustrations of different blob detections on the "Graffiti" images
    Illustrations of image matching
    • Table 1. Results of HPatches

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      Table 1. Results of HPatches

      Det.Dsc.MMA
      HarrisHardNet++0.648
      SIFTHardNet++0.575
      SURFHardNet++0.659
      FASTHardNet++0.678
      KAZEHardNet++0.504
      ANDDHardNet++0.575
      New⁃ CurvatureHardNet++0.687
      LIFTHardNet++0.683
      LF⁃NetHardNet++0.713
      Key.NetHardNet++0.504
      R2D2HardNet++0.682
      D2⁃NetHardNet++0.480
      SOIGDDHardNet++0.709
      OURSHardNet++0.803
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    Wenya YU, Jie REN, Weichuan ZHANG, Lei LU. Second‑order Anisotropic Gaussian Directional Derivative Filters for Blob Detection[J]. Optoelectronic Technology, 2024, 44(1): 72

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    Paper Information

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    Received: Sep. 4, 2023

    Accepted: --

    Published Online: Jul. 18, 2024

    The Author Email:

    DOI:10.12450/j.gdzjs.202401013

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