• DocumentCode
    539762
  • Title

    Method of Sensor Detection Based on Monitoring Image

  • Author

    Chen Jian-ming ; Yang Yong-Xia

  • Author_Institution
    North China Inst. of Water Conservancy & Hydroelectric Power, Zhengzhou, China
  • Volume
    2
  • fYear
    2011
  • fDate
    6-7 Jan. 2011
  • Firstpage
    549
  • Lastpage
    552
  • Abstract
    For the wide spread use of digital image monitoring system, using surveillance image overlay infrared direct signal, we achieve a new method of sensing detection. The method is to superimpose the sensor information which contains the infrared image signal on the monitor image screen, through the local gray-level analysis, and the method is an infrared target enhancement based on the the image subtraction, gray mean and variance change. By searching for local energy maxima as seed points, using seeded region growing algorithm to goals and background separation, and we extract the sensor information contained in target finally. Through the detection of the substation external device heat fault tests and applications, we achieve satisfactory results.
  • Keywords
    image enhancement; infrared imaging; surveillance; digital image monitoring system; gray mean; image subtraction; infrared direct signal; infrared target enhancement; local gray level analysis; seeded region growing algorithm; sensor detection; surveillance image; variance change; Automation; Mechatronics; Gray-characteristic Local mean contrast; Seed algorithm; Target recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
  • Conference_Location
    Shangshai
  • Print_ISBN
    978-1-4244-9010-3
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2011.424
  • Filename
    5721242