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Laser & Optoelectronics Progress, Volume. 57, Issue 10, 101023(2020)

A Preprocessing Method for Infrared Image Based on Maritime Target Tracking Performance

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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    AbstractGet PDF(in Chinese)
    Figures&Tables (11)
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    References (15)
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    Figures & Tables(11)
    Schematic of joint filtering algorithm

    Fig. 1. Schematic of joint filtering algorithm

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    Influence of penalizing value on denoising performance. (a) SNR;(b) BSF

    Fig. 2. Influence of penalizing value on denoising performance. (a) SNR;(b) BSF

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    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

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    Marine infrared target tracking and ranging experiment platform

    Fig. 4. Marine infrared target tracking and ranging experiment platform

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    Schematic of infrared search and tracking system

    Fig. 5. Schematic of infrared search and tracking system

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    Target tracking failure before processing

    Fig. 6. Target tracking failure before processing

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    Target tracking after processing

    Fig. 7. Target tracking after processing

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    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

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    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

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    Comparison of tracking error before and after filtering

    Fig. 10. Comparison of tracking error before and after filtering

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    • Table 1. Comparison of image SNR

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      Table 1. Comparison of image SNR

      Using algorithmSNR /dBPSNR /dB
      Bilateral filtering13.673766.5825
      Improving Gaussian filtering15.598868.5770
      Guided filtering24.343277.4681
      Proposed algorithm25.233978.3023
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    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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    Paper Information

    Category: Image Processing

    Received: Oct. 28, 2019

    Accepted: Jan. 10, 2020

    Published Online: May. 8, 2020

    The Author Email: Jinwang Li (15424443090@qq.com), Yansong Song (songyansong2012@126.com)

    DOI:10.3788/LOP57.101023

    Topics

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