Laser & Optoelectronics Progress, Volume. 57, Issue 14, 141028(2020)

Vision-Based Automatic Detection Method for Suspended Matter in Bottled Mineral Water

Ziye Sheng** and Yunwei Zhang*
Author Affiliations
  • College of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
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    Figures & Tables(17)
    Automatic detection device structure
    LED light source structure
    Flowchart of detection method
    Schematic diagram of motion analysis
    Flowchart of quantity statistics and size estimation of suspended solids
    Rotation of suspended solid region
    Physical drawing of experimental device. (a) Appearance drawing; (b) internal structure
    Picture collected in bottle 1. (a) Minuend picture; (b) background picture
    Picture collected in bottle 2. (a) Minuend picture; (b) background picture
    Picture collected in bottle 3. (a) Minuend picture; (b) background picture
    Differential image processing results for the 1st group. (a) Differential image; (b) differential image binarization; (c) denoised image; (d) smooth edge
    Differential image processing results for the 2nd group. (a) Differential image; (b) differential image binarization; (c) denoised image; (d) smooth edge
    Differential image processing results for the 3rd group. (a) Differential image; (b) differential image binarization; (c) denoised image; (d) smooth edge
    • Table 1. Statistical table of actual size of suspended particles

      View table

      Table 1. Statistical table of actual size of suspended particles

      NumberGroup 1Group 2Group 3
      Max /mmMin /mmMax /mmMin /mmMax /mmMin /mm
      13.101.405.584.082.001.42
      23.781.785.203.361.600.72
      32.801.605.304.242.202.14
      43.451.725.223.303.642.36
      53.102.124.802.707.044.12
    • Table 2. Comparison between the detection results and actual size of suspended particles in the 1st group

      View table

      Table 2. Comparison between the detection results and actual size of suspended particles in the 1st group

      NumberActualsize /mmDetectingsize /mmAbsoluteerror /mmRelativeerror /%
      13.103.140.041.29
      23.783.820.041.06
      32.802.960.165.71
      43.453.680.236.67
      53.103.080.020.65
    • Table 3. Comparison between the detection results and actual size of suspended particles in the 2nd group

      View table

      Table 3. Comparison between the detection results and actual size of suspended particles in the 2nd group

      NumberActualsize /mmDetectingsize /mmAbsoluteerror /mmRelativeerror /%
      15.585.860.285.02
      25.205.010.193.65
      35.305.350.050.94
      45.225.260.040.77
      54.804.650.153.13
    • Table 4. Comparison between the detection results and actual size of suspended particles in the 3rd group

      View table

      Table 4. Comparison between the detection results and actual size of suspended particles in the 3rd group

      NumberActualsize /mmDetectingsize /mmAbsoluteerror /mmRelativeerror /%
      12.001.940.063.00
      21.601.700.106.25
      32.202.350.156.82
      43.643.560.082.20
      57.047.240.202.84
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    Ziye Sheng, Yunwei Zhang. Vision-Based Automatic Detection Method for Suspended Matter in Bottled Mineral Water[J]. Laser & Optoelectronics Progress, 2020, 57(14): 141028

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    Paper Information

    Category: Image Processing

    Received: Nov. 2, 2019

    Accepted: Dec. 31, 2019

    Published Online: Jul. 28, 2020

    The Author Email: Ziye Sheng (1538051646@qq.com), Yunwei Zhang (1657824262@qq.com)

    DOI:10.3788/LOP57.141028

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