Acta Optica Sinica, Volume. 38, Issue 12, 1215009(2018)

Research on Measurement of Volume and Surface Area of Flotation Bubbles Based on Machine Vision

Xiuman Liang1、*, Wentao Liu1、*, Fusheng Niu2, and Tong Tian1
Author Affiliations
  • 1 College of Electrical Engineering, North China University of Science and Technology, Tangshan, Hebei 0 63210, China
  • 2 College of Mining Engineering, North China University of Science and Technology, Tangshan, Hebei 0 63210, China
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    Figures & Tables(13)
    Experimental setup. (a) Front view; (b) top view
    Various forms of bubble images
    Bubble projection image segmentation
    Edge extraction process. (a) Original image; (b) pre-processing; (c) Ostu partition; (d) edge swell; (e) region segmentation; (f) Canny edge extraction
    Segmentation and reconstruction of overlapping bubbles
    Scan bubble edge point
    Schematic of edge gradient
    Comparison of edge extraction between SEE and TSED. (a) 623 lx; (b) 442 lx; (c) 276 lx
    Influence of parameter variation on HSDM calculation
    Bubble volume of different methods at different stirring rates
    Trend graph of measurement of bubble surface area
    • Table 1. Long axis parameters of bubble at different observation angles

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      Table 1. Long axis parameters of bubble at different observation angles

      Experiment numberLength of front view /pixelLength of side view /pixelLength deviation /%
      152.353.72.7
      263.961.83.3
      358.957.62.2
      454.853.91.6
      556.758.83.7
    • Table 2. Result comparison of different measurement methods

      View table

      Table 2. Result comparison of different measurement methods

      MethodAverage volume /mm3Deviation /%Variance /mm3
      HSDM1.0694.520.057
      HSM0.94215.890.121
      EVF1.0258.450.129
      EDM0.90419.300.076
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    Xiuman Liang, Wentao Liu, Fusheng Niu, Tong Tian. Research on Measurement of Volume and Surface Area of Flotation Bubbles Based on Machine Vision[J]. Acta Optica Sinica, 2018, 38(12): 1215009

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    Paper Information

    Category: Machine Vision

    Received: Jun. 15, 2018

    Accepted: Aug. 13, 2018

    Published Online: May. 10, 2019

    The Author Email:

    DOI:10.3788/AOS201838.1215009

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