• DocumentCode
    3076330
  • Title

    Real Time Low Level Parallel Image Processing For Active Vision Systems

  • Author

    Tanwer, Ashish ; Singh, Rattandeep ; Reel, Parminder Singh

  • Author_Institution
    Electron. & Commun. Eng. Dept., Thapar Univ., Patiala
  • fYear
    2009
  • fDate
    6-7 March 2009
  • Firstpage
    1347
  • Lastpage
    1352
  • Abstract
    This paper presents an overview of low level parallel image processing algorithms and their implementation for active vision systems. Authors have demonstrated novel low level image processing algorithms for point operators, local operators, dithering, smoothing, edge detection, morphological operators, image segmentation and image compression. The algorithms have been prepared & described as pseudo codes. These algorithms have been simulated using Parallel Computing Toolboxtrade (PCT) of MATLAB. The PCT provides parallel constructs in the MATLAB language, such as parallel for loops, distributed arrays and message passing & enables rapid prototyping of parallel code through an interactive parallel MATLAB session.
  • Keywords
    active vision; parallel processing; Parallel Computing ToolboxTM; active vision system; dithering; edge detection; image compression; image segmentation; local operators; low level parallel image processing; morphological operator; point operators; pseudocodes; smoothing; Computational modeling; Image coding; Image edge detection; Image processing; Image segmentation; MATLAB; Machine vision; Parallel processing; Real time systems; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advance Computing Conference, 2009. IACC 2009. IEEE International
  • Conference_Location
    Patiala
  • Print_ISBN
    978-1-4244-2927-1
  • Electronic_ISBN
    978-1-4244-2928-8
  • Type

    conf

  • DOI
    10.1109/IADCC.2009.4809212
  • Filename
    4809212