• Laser & Optoelectronics Progress
  • Vol. 59, Issue 12, 1210010 (2022)
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
  • show less
    DOI: 10.3788/LOP202259.1210010 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    References

    [1] Zhang X, Wei J, Zhao D M et al. Research course and prospects of power grid fault diagnosis[J]. Power System Technology, 37, 2745-2753(2013).

    [2] Lin G, Wang B, Peng H et al. Multi-target detection and location of transmission line inspection image based on improved Faster-RCNN[J]. Electric Power Automation Equipment, 39, 213-218(2019).

    [3] Li Y H, Bi Y D, Zhang W C et al. Multi-scale anisotropic Gaussian kernels for image edge detection[J]. IEEE Access, 8, 1803-1812(2019).

    [4] Li Y H, Zhang H H, Chen J N et al. Non-reference image quality assessment based on deep clustering[J]. Signal Processing: Image Communication, 83, 115781(2020).

    [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).

    [6] Liu X Z, Ai Y F, Tian B et al. Robust and fast registration of infrared and visible images for electro-optical pod[J]. IEEE Transactions on Industrial Electronics, 66, 1335-1344(2019).

    [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).

    [9] Zhang D, Huang H, Shang Z H. Nonrigid image registration algorithm based on mutual information Active Demons[J]. Laser & Optoelectronics Progress, 57, 161009(2020).

    [10] Li H W, Wang B H, Li L. Research on the infrared and visible power-equipment image fusion for inspection robots[C], 11637478(2010).

    [11] Li H, Wang K, Liu S J. Registration method between infrared and visible images of electrical equipment based on gray-scale redundancy and SURF[J]. Power System Protection and Control, 39, 111-115, 123(2011).

    [12] Mishra A, Mahapatra S, Banerjee S. Modified Frei-Chen operator-based infrared and visible sensor image fusion for real-time applications[J]. IEEE Sensors Journal, 17, 4639-4646(2017).

    [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).

    [14] Zhu Y H, Li J S, Tang Y. Matching algorithm for IR/visible images based on CSS corner extraction[J]. Systems Engineering and Electronics, 33, 2540-2545(2011).

    [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).

    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
    Download Citation