• DocumentCode
    479795
  • Title

    Bubble Image Segmentation of Gas/Liquid Two-Phase Flow Based on Improved Canny Operator

  • Author

    Wenyin, Zhang ; Ningde, Jin ; Xia, Lin ; Zhiqiang, Nie

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin
  • Volume
    1
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    799
  • Lastpage
    801
  • Abstract
    Image segmentation is the foundation of multi-flow high speed video analysis. Based on improved canny operator, we provide a method to bubble gas/liquid two-phase flow image segmentation, which takes the more gray distribution information into account, uses gauss sigma smooth filter to maintain edges and eliminate noise, then by non-maximum control of grads and lag-threshold process, the clear bubble edge image is obtained. The method is very effective for the analysis and recognition of bubble multi-flow.
  • Keywords
    bubbles; image segmentation; smoothing methods; two-phase flow; bubble gas/liquid two-phase flow; bubble multi-flow; canny operator; gauss sigma smooth filter; high speed video analysis; image segmentation; lag-threshold process; Cameras; Filters; Fluid flow; Gaussian noise; Image edge detection; Image segmentation; Kernel; Sensor arrays; Sensor systems; Smoothing methods; Canny operator; image segmentation; two-phase flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.1396
  • Filename
    4721870