• Laser & Optoelectronics Progress
  • Vol. 57, Issue 14, 141028 (2020)
Ziye Sheng** and Yunwei Zhang*
Author Affiliations
  • College of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan 650500, China
  • show less
    DOI: 10.3788/LOP57.141028 Cite this Article Set citation alerts
    Ziye Sheng, Yunwei Zhang. Vision-Based Automatic Detection Method for Suspended Matter in Bottled Mineral Water[J]. Laser & Optoelectronics Progress, 2020, 57(14): 141028 Copy Citation Text show less
    Automatic detection device structure
    Fig. 1. Automatic detection device structure
    LED light source structure
    Fig. 2. LED light source structure
    Flowchart of detection method
    Fig. 3. Flowchart of detection method
    Schematic diagram of motion analysis
    Fig. 4. Schematic diagram of motion analysis
    Flowchart of quantity statistics and size estimation of suspended solids
    Fig. 5. Flowchart of quantity statistics and size estimation of suspended solids
    Rotation of suspended solid region
    Fig. 6. Rotation of suspended solid region
    Physical drawing of experimental device. (a) Appearance drawing; (b) internal structure
    Fig. 7. Physical drawing of experimental device. (a) Appearance drawing; (b) internal structure
    Picture collected in bottle 1. (a) Minuend picture; (b) background picture
    Fig. 8. Picture collected in bottle 1. (a) Minuend picture; (b) background picture
    Picture collected in bottle 2. (a) Minuend picture; (b) background picture
    Fig. 9. Picture collected in bottle 2. (a) Minuend picture; (b) background picture
    Picture collected in bottle 3. (a) Minuend picture; (b) background picture
    Fig. 10. 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
    Fig. 11. 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
    Fig. 12. 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
    Fig. 13. Differential image processing results for the 3rd group. (a) Differential image; (b) differential image binarization; (c) denoised image; (d) smooth edge
    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 1. Statistical table of actual size of suspended particles
    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 2. Comparison between the detection results and actual size of suspended particles in the 1st 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 3. Comparison between the detection results and actual size of suspended particles in the 2nd 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
    Table 4. Comparison between the detection results and actual size of suspended particles in the 3rd group
    Ziye Sheng, Yunwei Zhang. Vision-Based Automatic Detection Method for Suspended Matter in Bottled Mineral Water[J]. Laser & Optoelectronics Progress, 2020, 57(14): 141028
    Download Citation