Journal of Applied Optics, Volume. 44, Issue 1, 46(2023)

Intelligent trace color separation method based on multi-band light source

Yi GAO1... Ying YU2,*, Xu YANG3 and Shuangxi XIANG3 |Show fewer author(s)
Author Affiliations
  • 1Key Laboratory of Trace Inspection and Identification Technology (Ministry of Public Security), Criminal Investigation Police University of China, Shenyang 110035, China
  • 2Key Laboratory of Optoelectronic Information Control and Security Technology, Tianjin 300308, China
  • 3School of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China
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    Figures & Tables(23)
    Schematic block diagram of lifting motor for light source movement control
    Schematic diagram of experimental platform
    Flow chart of overall system design
    Diagram of six roles
    Flow chart of FS-SIFT algorithm
    Process of secondary generation Curvelet fusion algorithm
    Partial images of moving trace photography in vertical direction of light source
    Partial images of moving trace photography in horizontal direction of light source
    Photography process of sweat latent fingerprint of gray-white Matt ceramic tile
    Image index analysis in horizontal direction
    Color separation photography of potential fingerprints on surface of orange-red ceramic tiles
    Color separation photography of potential fingerprints on surface of light blue ceramic tiles
    Color separation photography of oil latent fingerprints on surface of light yellow cards
    Feature point extraction of traditional SIFT algorithm
    Feature point extraction of improved FS-SIFT algorithm
    Image registration with traditional SIFT algorithm and image registration with improved FS-SIFT algorithm
    Comparison of fusion trace images of secondary generation Curvelet algorithm
    • Table 1. Comparison of indicators of dark field and optimal position trace image

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      Table 1. Comparison of indicators of dark field and optimal position trace image

      标准差信息熵平均梯度
      暗视场11.322.051 40.018 7
      最佳位置14.472.372 80.020 6
    • Table 2. Comparison of indicators of directional reflection and optimal position trace image

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      Table 2. Comparison of indicators of directional reflection and optimal position trace image

      标准差信息熵平均梯度
      定向反射17.143.100 70.009 1
      最佳位置19.883.631 40.010 3
    • Table 3. Comparison of indicators of grazing incidence and optimal position trace image

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      Table 3. Comparison of indicators of grazing incidence and optimal position trace image

      标准差信息熵平均梯度
      掠入射17.143.100 70.009 1
      最佳位置19.883.631 40.010 3
    • Table 4. Objective evaluation indicators of the best position image and the best position 90 ° image

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      Table 4. Objective evaluation indicators of the best position image and the best position 90 ° image

      标准差信息熵平均梯度
      最佳位置图像21.0810.402 70.071 3
      最佳位置90°图像20.9310.396 40.071 0
    • Table 5. Characteristic accuracy and time consumption of traditional SIFT algorithm and FS-SIFT algorithm

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      Table 5. Characteristic accuracy and time consumption of traditional SIFT algorithm and FS-SIFT algorithm

      特征点正确匹配点匹配准确率/%时间/s
      SIFT最佳位置64332751.8510.3
      最佳位置90°64333451.9410.1
      FS-SIFT最佳位置57752591.403.5
      最佳位置90°57751990.103.6
    • Table 6. Objective evaluation indicators of fused image of secondary generation Curvelet algorithm

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      Table 6. Objective evaluation indicators of fused image of secondary generation Curvelet algorithm

      标准差信息熵平均梯度
      SIFT算法配准18.748.325 10.064 9
      FS-SIFT算法配准23.2714.136 30.094 4
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    Yi GAO, Ying YU, Xu YANG, Shuangxi XIANG. Intelligent trace color separation method based on multi-band light source[J]. Journal of Applied Optics, 2023, 44(1): 46

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    Paper Information

    Category: Research Articles

    Received: Jun. 8, 2022

    Accepted: --

    Published Online: Feb. 22, 2023

    The Author Email: YU Ying (3553583@qq.com)

    DOI:10.5768/JAO202344.0101007

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