• DocumentCode
    3246997
  • Title

    Fast merging algorithm for image segmentation based on date structure

  • Author

    Shan, Zhao ; Shui, Wang

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo, China
  • fYear
    2010
  • fDate
    20-21 Oct. 2010
  • Firstpage
    221
  • Lastpage
    224
  • Abstract
    For the complexity of the algorithm for the merger of the regional boundary. A new algorithm - the Full λ Edge List Segmentation Algorithm(FELSA) is presented. Firstly, A new list - edge list in date structure of segmentation region is introduced to improve the boundaries of multi-partition approach, and the updates value of merger list in FLSA algorithm is re-defined. Thus, segmentation algorithm may select the best boundary for the merger according to the edge list. Furthermore, the adjacent part of the region is defined by edge list, so that a new edge can be retrieved more efficiently. The results show that this improved algorithm become more efficient and effective to the merger of image segmentation.
  • Keywords
    boundary-value problems; edge detection; image segmentation; merging; date structure; full λ edge list segmentation algorithm; image segmentation; merging algorithm; regional boundary; Image edge detection; Image segmentation; Edge List; FELSA Date Structure; Segmentation merging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling (KAM), 2010 3rd International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-8004-3
  • Type

    conf

  • DOI
    10.1109/KAM.2010.5646253
  • Filename
    5646253