Laser & Optoelectronics Progress, Volume. 59, Issue 12, 1210010(2022)

Registration Method for Power Equipment Infrared and Visible Images Based on Improved Curvature Scale Space Algorithm

Yunhong Li*, Xuemin Luo, Xueping Su, Yaolin Zhu, Lan Yao, and Jiaojiao Duan
Author Affiliations
  • School of Electronics and Information, Xi’an Polytechnic University, Xi’an 710048, Shaanxi , China
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    References(15)

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    [5] Zhao H S, Zhang Z Y. Power equipment infrared and visible images registration based on cultural wolf pack algorithm[J]. Acta Optica Sinica, 40, 1610003(2020).

    [7] Ji L E, Yang F B, Wang Z S et al. Bi-directional matching algorithm based on SURF features for visible and negative image of infrared image[J]. Opto-Electronic Engineering, 41, 77-82(2014).

    [8] Yang Q N, Ma T L, Yang C K et al. RANSAC image matching algorithm based on optimized sampling[J]. Laser & Optoelectronics Progress, 57, 101104(2020).

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    [13] Xu J X, Li Q W, Ma Y P et al. Registration method between infrared and visible images of electrical equipment based on slope consistency[J]. Journal of Optoelectronics·Laser, 28, 794-802(2017).

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    [15] Jiang Q, Liu Y D, Fang J et al. Registration method for power equipment infrared and visible images based on contour feature[J]. Chinese Journal of Scientific Instrument, 41, 252-260(2020).

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    Yunhong Li, Xuemin Luo, Xueping Su, Yaolin Zhu, Lan Yao, Jiaojiao Duan. Registration Method for Power Equipment Infrared and Visible Images Based on Improved Curvature Scale Space Algorithm[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1210010

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    Paper Information

    Category: Image Processing

    Received: Apr. 22, 2021

    Accepted: Jun. 11, 2021

    Published Online: May. 23, 2022

    The Author Email: Yunhong Li (hitliyunhong@163.com)

    DOI:10.3788/LOP202259.1210010

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