• DocumentCode
    2149706
  • Title

    The Study of Ice Thickness Precise Real-Time Measurement for Airplane Sensor

  • Author

    Lin, Lui Song ; Guojianxing ; Junqiang, Ma ; Hua, Wei

  • Author_Institution
    Inf. Eng. Univ., Zhengzhou
  • fYear
    2008
  • fDate
    30-31 Dec. 2008
  • Firstpage
    618
  • Lastpage
    620
  • Abstract
    In this paper, a precise computer vision measurement system which is used to measure the thickness and icing speed of airplane external sensor parts in wind tunnel is introduced. The real-time measurement system is composed of two digital cameras, a computer, a coding scale control board and an illumination lamp-house. Digital cameras are set above the glass window of the wind tunnel and focused to the sensor part. Images of the growing ice will be transferred into the control computer continuously and be processed by the software. Horizontal direction extent of growing ice can be measured with one camera and three dimensions length measured with two cameras, which forms a stereo vision system. The ice thickness could be measured from each image, and then the icing speed can be obtained from the image sequence. Experiments show that the measurement accuracy of growing ice thickness can reach 0.1 millimeter in all direction with the developed system.
  • Keywords
    aerospace computing; aerospace instrumentation; cameras; computer vision; measurement systems; wind tunnels; airplane external sensor; airplane sensor; coding scale control board; computer vision measurement system; digital cameras; ice thickness; icing speed; illumination lamp-house; precise real-time measurement; wind tunnel; Airplanes; Computer vision; Control systems; Digital cameras; Ice thickness; Length measurement; Real time systems; Sensor systems; Thickness measurement; Velocity measurement; measurement system; sensor part; wind tunnel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    MultiMedia and Information Technology, 2008. MMIT '08. International Conference on
  • Conference_Location
    Three Gorges
  • Print_ISBN
    978-0-7695-3556-2
  • Type

    conf

  • DOI
    10.1109/MMIT.2008.201
  • Filename
    5089199