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Laser & Optoelectronics Progress, Volume. 60, Issue 10, 1010026(2023)

High-Speed Image Rotation Estimation Algorithm Based on Correlation Filtering

Yunhui Yang, Hongtai Zhu, Hu Cheng*, and Dan Liu
Author Affiliations
  • China Key System & Integrated Circuit Co., Ltd., Wuxi 214072, Jiangsu, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (6)
    Equations (21)
    References (30)
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    Figures & Tables(6)
    Rotation of an image in Cartesian system is represented as the translation along the angular axis in logarithmic polar coordinate

    Fig. 1. Rotation of an image in Cartesian system is represented as the translation along the angular axis in logarithmic polar coordinate

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    Artificial image data. (a) Artificial data construction schematic; (b) artificial data with different angles

    Fig. 2. Artificial image data. (a) Artificial data construction schematic; (b) artificial data with different angles

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    Image data and the estimation results of each method

    Fig. 3. Image data and the estimation results of each method

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    • Table 1. Angle estimation error of gray projection method and GPCF for artificial rotating image

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      Table 1. Angle estimation error of gray projection method and GPCF for artificial rotating image

      Algorithm5°10°15°20°30°
      Gray projection0.0052°0.0023°0.0065°0.0048°0.0113°
      GPCF0.0021°0.0036°0.0016°0.0017°0.0077°
      Algorithm60°90°120°150°180°
      Gray projection0.0129°0°0.0111°0.0129°0°
      GPCF0.0073°0°0.0088°0.0041°0°

    • Table 2. Result comparison of the gray projection and GPCF to the SIFT method for estimating angles, respectively

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      Table 2. Result comparison of the gray projection and GPCF to the SIFT method for estimating angles, respectively

      Input image size /（pixel×pixel）MethodMean error /（°）Variance of error
      360×360Gray projection2.040.64
      GPCF0.700.05
      Input image size /（pixel×pixel）MethodMean error /（°）Variance of error
      720×720Gray projection1.540.75
      GPCF0.650.11

    • Table 3. Time consuming of the gray projection method, GPCF, and SIFT

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      Table 3. Time consuming of the gray projection method, GPCF, and SIFT

      MethodTime /msSpeed /（frame·s-1）
      SIFT323.433.09
      Gray projection11.5286.81
      GPCF10.9291.57
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    Yunhui Yang, Hongtai Zhu, Hu Cheng, Dan Liu. High-Speed Image Rotation Estimation Algorithm Based on Correlation Filtering[J]. Laser & Optoelectronics Progress, 2023, 60(10): 1010026

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    Paper Information

    Category: Image Processing

    Received: Feb. 16, 2022

    Accepted: May. 18, 2022

    Published Online: May. 17, 2023

    The Author Email: Cheng Hu (chhu1989@163.com)

    DOI:10.3788/LOP220749

    Topics

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