Journal of Infrared and Millimeter Waves, Volume. 42, Issue 1, 102(2023)

Object detection based on polarization-weighted local contrast method

Yong-Qiang ZHAO*, Jing-Cheng ZHANG, and Xin-Bo QIAO
Author Affiliations
  • School of Automation,Northwestern Polytechnical University,Xi’an 710129,China
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    Figures & Tables(12)
    Micro polarizer array and infrared polarization mosaic image
    Infrared polarization mosaic image and angle of polarization image
    Normalized degree of polarization distribution of road and vehicle windows
    The 3×3 neighborhood of the center pixel with 0° channel
    Sliding window and polarization-weighted local enhancement
    Flow chart of detection algorithm
    Saliency maps of different methods
    Detection results of different methods
    • Table 1. Infrared polarization focal plane GWPL technical parameters

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      Table 1. Infrared polarization focal plane GWPL technical parameters

      名称技术指标
      分辨率640×512
      像元中心距17 μm
      响应波段8~14 μm
      偏振方向0°,45°,90°,135°
      帧频50 Hz
      探测器类型非制冷型
    • Table 2. Flow chart of detection algorithm

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      Table 2. Flow chart of detection algorithm

      算法:偏振权重局部对比度目标检测算法

      输入:红外偏振马赛克图像

      输出:目标检测结果

      步骤1:利用公式(5)、(7)、(8)、(10)、(11)和(12)对红外偏振马赛克图像进行卷积,求出红外偏振马赛克图像的斯托克斯矢量以及偏振度、偏振角参数,利用偏振角参数对背景进行初步的去除;

      步骤2:利用公式(16)计算偏振权重,并利用公式(17)得到基于偏振权重的偏振度显著图;

      步骤3:在偏振度显著图上利用自适应阈值公式(18)对目标区域进行提取,得到偏振权重局部对比度方法的检测结果;

      步骤4:对道路上的目标进行边缘检测,并利用形态学操作得到边缘检测的结果,以步骤3中的检测结果为引导,将二者的检测结果相结合,得到最终的目标检测结果。

    • Table 3. SNRG、BSF of six scenes

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      Table 3. SNRG、BSF of six scenes

      方法场景一场景二场景三场景四场景五场景六
      SNRGBSFSNRGBSFSNRGBSFSNRGBSFSNRGBSFSNRGBSF
      本文方法1.3274.7013.0174.2831.7053.8052.4953.8082.0343.8722.2983.572
      HBMLCM方法0.9130.6282.5390.6462.6950.6493.5090.6772.3160.6472.6140.607
      RLCM方法0.20712.3910.0579.5970.09110.0280.08318.427013.8080.00213.228
      WSLCM方法0.8670.3632.3580.5651.0560.7591.7861.2051.5680.671.5760.563
    • Table 4. Pd and Pf of six scenes

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      Table 4. Pd and Pf of six scenes

      方法场景一场景二场景三场景四场景五场景六
      Pd/%Pf/%Pd/%Pf/%Pd/%Pf/%Pd/%Pf/%Pd/%Pf/%Pd/%Pf/%
      本文方法10014.25008004033.310001000
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    Yong-Qiang ZHAO, Jing-Cheng ZHANG, Xin-Bo QIAO. Object detection based on polarization-weighted local contrast method[J]. Journal of Infrared and Millimeter Waves, 2023, 42(1): 102

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    Paper Information

    Category: Research Articles

    Received: Jan. 16, 2022

    Accepted: --

    Published Online: Feb. 23, 2023

    The Author Email: Yong-Qiang ZHAO (zhaoyq@nwpu.edu.cn)

    DOI:10.11972/j.issn.1001-9014.2023.01.013

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