• DocumentCode
    496092
  • Title

    Application of JPEG2000 Based on Mathematical Morphology in Image Surveillance System in the Unattended Substation

  • Author

    Song, Jia ; Sun, Zhongwei ; Li, Yuyan

  • Author_Institution
    Acad. of Inf. Technol., Luoyang Normal Univ., Luoyang, China
  • Volume
    1
  • fYear
    2009
  • fDate
    25-26 July 2009
  • Firstpage
    149
  • Lastpage
    153
  • Abstract
    The narrow bandwidth of wireless communication network limited the applications of the remote image surveillance in the unattended substation. A surveillance image coding algorithm is presented in the paper. First, the metering area of digital instruments is extracted based on edge detection and mathematical morphology. Then, the metering area is set as the region of interest (ROI). By utilizing the ROI encoding, the surveillance image can be transmitted in JPEG2000 format in the limited bandwidth. As a result, the monitoring center can get the image in real time. Experiment results show that the proposed method is feasible in terms of image quality and compression ratio, narrow bandwidth and real-time transmission of images.
  • Keywords
    data compression; edge detection; feature extraction; image coding; mathematical morphology; substation automation; surveillance; JPEG2000 format; ROI encoding; digital instrument; edge detection; feature extraction; image coding algorithm; mathematical morphology; region of interest; remote image surveillance system; unattended substation; wireless communication network; Bandwidth; Image coding; Image edge detection; Instruments; Monitoring; Morphology; Substations; Surveillance; Transform coding; Wireless communication; JPEG2000; ROI; image surveillance; mathematical morphology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Computer Science, 2009. ITCS 2009. International Conference on
  • Conference_Location
    Kiev
  • Print_ISBN
    978-0-7695-3688-0
  • Type

    conf

  • DOI
    10.1109/ITCS.2009.38
  • Filename
    5190038