• Laser & Optoelectronics Progress
  • Vol. 57, Issue 10, 101023 (2020)
Jinwang Li1、*, Yansong Song2、**, Tianci Liu1, and Xin Zhao2
Author Affiliations
  • 1Graduate School, Changchun University of Technology, Changchun, Jilin 130022, China
  • 2College of Electronic Information Engineering, Changchun University of Technology, Changchun, Jilin 130022, China
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    DOI: 10.3788/LOP57.101023 Cite this Article Set citation alerts
    Jinwang Li, Yansong Song, Tianci Liu, Xin Zhao. A Preprocessing Method for Infrared Image Based on Maritime Target Tracking Performance[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101023 Copy Citation Text show less
    Schematic of joint filtering algorithm
    Fig. 1. Schematic of joint filtering algorithm
    Influence of penalizing value on denoising performance. (a) SNR;(b) BSF
    Fig. 2. Influence of penalizing value on denoising performance. (a) SNR;(b) BSF
    Influence of window radius r on denoising performance. (a) SNR;(b) BSF
    Fig. 3. Influence of window radius r on denoising performance. (a) SNR;(b) BSF
    Marine infrared target tracking and ranging experiment platform
    Fig. 4. Marine infrared target tracking and ranging experiment platform
    Schematic of infrared search and tracking system
    Fig. 5. Schematic of infrared search and tracking system
    Target tracking failure before processing
    Fig. 6. Target tracking failure before processing
    Target tracking after processing
    Fig. 7. Target tracking after processing
    Target tracking before filtering.(a) Target actual position; (b) pre-filtering algorithm capture position; (c) position comparison
    Fig. 8. Target tracking before filtering.(a) Target actual position; (b) pre-filtering algorithm capture position; (c) position comparison
    Target tracking after filtering. (a) Target actual position; (b) after filtering algorithm capture position; (c) position comparison
    Fig. 9. Target tracking after filtering. (a) Target actual position; (b) after filtering algorithm capture position; (c) position comparison
    Comparison of tracking error before and after filtering
    Fig. 10. Comparison of tracking error before and after filtering
    Using algorithmSNR /dBPSNR /dB
    Bilateral filtering13.673766.5825
    Improving Gaussian filtering15.598868.5770
    Guided filtering24.343277.4681
    Proposed algorithm25.233978.3023
    Table 1. Comparison of image SNR
    Jinwang Li, Yansong Song, Tianci Liu, Xin Zhao. A Preprocessing Method for Infrared Image Based on Maritime Target Tracking Performance[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101023
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