• DocumentCode
    2269233
  • Title

    Edge Detection of Tank Level IR Imaging Based on the Auto-Adaptive Double-Threshold Canny Operator

  • Author

    Yan, Fabao ; Shao, Xianhe ; Li, Gun ; Sun, Zhiyin ; Yang, Zhongjun

  • Author_Institution
    Southwest Inst. of Autom. Res., Mianyang
  • Volume
    3
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    366
  • Lastpage
    370
  • Abstract
    One new approach for detection tank level is investigated based on the auto-adaptive double-threshold Canny operator, considering IR imaging of tank level and aiming at the problem of the detection of tank level. Edge operator of tank level based on the auto-adaptive double-threshold Canny operator can set double-threshold automatically, according to different tank level IR imaging gray gradient histogram´s feature, instead of traditional Canny operator in which double-threshold should be set artificially, to avoid the loss of edge information especially liquid level´s information because of improper artificial selection. In the process of picking up liquid level´s information, it can analyze the number of horizontal stripes, and get their idiographic position according to the number, making edge operator more practical in application of tank level detection .The simulation result indicate that edge detection of tank level based on the auto-adaptive double-threshold Canny operator apply in detection of tank level very well.
  • Keywords
    edge detection; infrared imaging; level measurement; tanks (containers); IR imaging; autoadaptive double-threshold Canny operator; edge detection; edge operator; tank level; Fuel storage; Image edge detection; Infrared detectors; Level measurement; Monitoring; Optical imaging; Petroleum; Secure storage; Temperature sensors; Ultrasonic variables measurement; Canny Operator; Edge Detection; IR Imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3497-8
  • Type

    conf

  • DOI
    10.1109/IITA.2008.10
  • Filename
    4740020