• DocumentCode
    176096
  • Title

    Research on HVPL for visual detection of bicolor water level gauge

  • Author

    Bin Sun ; Changsheng Zhang ; Ziyu Liu ; Haiyong Tian ; Hanping Zhang

  • Author_Institution
    Fac. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    2094
  • Lastpage
    2099
  • Abstract
    To obtain real-time and accurate value of water level for industrial boiler drum, image preprocessing and number identification algorithms are used on FPGA, including distortion correction, DoG filter (Difference of Gaussian filter), the minimum misclassification error threshold method and crack chain code. Especially, the algorithm HVPL is proposed. Segmentation, extraction and number identification are fulfilled for the level gauge image by using above algorithms. Experiment shows that performing the machine recognition for image by running the fast algorithms on logic circuit has advantages of good real-time performance, robustness and higher recognition rate.
  • Keywords
    boilers; computerised instrumentation; field programmable gate arrays; image colour analysis; image segmentation; object detection; production engineering computing; water storage; DoG filter; FPGA; HVPL; bicolor water level gauge; crack chain code; difference of Gaussian filter; distortion correction; image preprocessing; industrial boiler drum; level gauge image; minimum misclassification error threshold method; number identification algorithm; visual detection; Band-pass filters; Field programmable gate arrays; Filtering algorithms; Image edge detection; Liquids; Maximum likelihood detection; Bicolor Water Level Gauge; Crack Chain Code; DoG filter; FPGA; HVPL;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852512
  • Filename
    6852512