• DocumentCode
    596332
  • Title

    A novel Petri net model for image segmentation Entropic thresholding based methods

  • Author

    Mahmoudi, L. ; Al Azawi, Alaa ; El Zaart, A. ; Haidar, Azzam

  • Author_Institution
    Math. & Comput. Sci. Dept., Beirut Arab Univ., Beirut, Lebanon
  • fYear
    2012
  • fDate
    12-15 Dec. 2012
  • Firstpage
    70
  • Lastpage
    74
  • Abstract
    This paper presents a Petri net-based hierarchical architecture for image segmentation concept; the work shows our analytical methodologies for modeling and analysis of image segmentation entropic thresholding based methods. The goal of this paper is to model the image segmentation concept using Petri net.
  • Keywords
    Petri nets; image segmentation; Petri net model; entropic thresholding based method; image segmentation; Analytical models; Computational modeling; Entropy; Firing; Image segmentation; Mathematical model; Petri nets; Petri net; entropic thresholding; image segmentation; modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computational Tools for Engineering Applications (ACTEA), 2012 2nd International Conference on
  • Conference_Location
    Beirut
  • Print_ISBN
    978-1-4673-2488-5
  • Type

    conf

  • DOI
    10.1109/ICTEA.2012.6462906
  • Filename
    6462906
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=596332