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Journal of Applied Optics, Volume. 43, Issue 3, 496(2022)

Dust concentration measurement algorithm based on image transmittance

Fangping YE1, Chaoyang FANG1, Xianjin XU1、*, Xiuhong LI1, and Jianming YUAN2
Author Affiliations
  • 1School of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China
  • 2School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (10)
    Equations (10)
    References (16)
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    Figures & Tables(10)
    Measurement system of machine vision dust concentration

    Fig. 1. Measurement system of machine vision dust concentration

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    300×180 pixel sub-block image

    Fig. 2. 300×180 pixel sub-block image

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    Schematic diagram of scene target imaging principle

    Fig. 3. Schematic diagram of scene target imaging principle

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    Black background image and gray value distribution of dark channel image

    Fig. 4. Black background image and gray value distribution of dark channel image

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    Physical picture of experimental materials

    Fig. 5. Physical picture of experimental materials

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    Fitting curve of dust concentration and image transmittance

    Fig. 6. Fitting curve of dust concentration and image transmittance

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    Dust images in test data set

    Fig. 7. Dust images in test data set

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    • Table 1. Test data set of dust concentration measurement model

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      Table 1. Test data set of dust concentration measurement model

      图像编号标准浓度c/(mg/m3) 暗通道算法本文算法
      透光率t1测试浓度c1/(mg/m3) 透光率t2测试浓度c2/(mg/m3)
      a255.30.604 3238.10.625 2278.6
      b323.40.530 0396.90.592 8375.1
      c535.10.465 5579.20.537 9572.6
      d687.80.474 3555.60.527 4611.6
      e784.20.475 1553.60.508 6689.9
      f863.40.353 1970.10.462 1903.4
      g990.30.305 71 169.60.422 81 105.9
      h1 184.40.289 11 248.70.409 01 181.8
      i1 287.40.287 31 267.50.377 61 363.7
      j1 413.10.276 41 316.60.369 41 413.4

    • Table 2. Deviation between test concentration and standard concentration %

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      Table 2. Deviation between test concentration and standard concentration %

      图像编号暗通道算法本文算法
      a±6.74±9.13
      b±22.73±15.99
      c±8.24±7.01
      d±19.22±11.08
      e±29.41±12.02
      f±12.36±4.63
      g±18.11±11.67
      h±5.43±0.22
      i±1.55±5.93
      j±6.83±0.02
      平均相对误差±13.06±7.77

    • Table 3. Comparison between proposed algorithm and other measurement methods

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      Table 3. Comparison between proposed algorithm and other measurement methods

      测量方法平均相对误差/(%)测量范围/(mg/m3)
      LD-5K测量仪±10.000.1～100
      组合照明图像分析法[23]±10.000～200
      暗通道算法[15]±13.060.5～1000
      本文算法±7.770.1～3000
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    Fangping YE, Chaoyang FANG, Xianjin XU, Xiuhong LI, Jianming YUAN. Dust concentration measurement algorithm based on image transmittance[J]. Journal of Applied Optics, 2022, 43(3): 496

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    Paper Information

    Category: OPTICAL METROLOGY AND MEASUREMENT

    Received: Feb. 21, 2022

    Accepted: --

    Published Online: Jun. 7, 2022

    The Author Email: Xianjin XU (2941220027@qq.com)

    DOI:10.5768/JAO202243.0303005

    Topics

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