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Journal of Projectiles, Rockets, Missiles and Guidance >

2023 , Vol. 43 >Issue 6: 1 - 7

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2023.06.001

Research on an Improved WSLCM Infrared Small Target Detection Method

  • WANG Lei 1 ,
  • GUO Honglin 1 ,
  • PAN Mingran 2 ,
  • YANG Yongfu 1 ,
  • GUAN Junjian 1
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  • 1 College of Mechanical Engineering, Shenyang Ligong University, Shenyang 110159, Liaoning, China
  • 2 Research and Development Center, Liaoshen Industries Group Co., Ltd., Shenyang 110045, Liaoning, China

Received date: 2023-09-20

  Online published: 2024-12-30

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Abstract

In order to strengthen the detection capability of small infrared targets under complex background, an improved WSLCM(weighted local contrast measure) detection algorithm is proposed. In the pre-processing stage of WSLCM, adaptive curvature filtering is used to process the image in multi-scale, and the real object is not submerged in the process of background suppression. In the background suppression calculation, the maximum gray value of the background block is selected as the background estimation to reduce the false alarm rate. At the same time, target enhancement factor and background suppression factor are introduced to enhance the robustness of the algorithm, eliminate the influence of background noise, and enhance the detection ability of infrared small targets. The algorithm IP verification is carried out by the embedded ZYNQ platform, and the algorithm can recognize and detect the small target in the specific scene by using the hardware and software cooperation. Experiments show that compared with the traditional WSLCM algorithm, BSF and SCRG indexes are significantly improved, the continuous frame detection rate is 93.2%, and the detection efficiency of embedded platform is 17.6% higher than that of PC, which verifies the effectiveness of the algorithm and embedded system.

Key words： infrared small target; target detection; ZYNQ; curvature filters; self-adaption

Cite this article

WANG Lei , GUO Honglin , PAN Mingran , YANG Yongfu , GUAN Junjian . Research on an Improved WSLCM Infrared Small Target Detection Method[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2023 , 43(6) : 1 -7 . DOI: 10.15892/j.cnki.djzdxb.2023.06.001

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