• DocumentCode
    2139950
  • Title

    Wavelet domain binary partition trees for image segmentation

  • Author

    Ghanbari, Shirin ; Woods, John C. ; Rabiee, Hamid R. ; Lucas, Simon M.

  • Author_Institution
    Dept. of Comput. & Electron. Syst., Essex Univ., Colchester
  • fYear
    2008
  • fDate
    18-20 June 2008
  • Firstpage
    302
  • Lastpage
    307
  • Abstract
    When performing segmentation using tree based representations it is evident that contiguous objects are often dispersed widely across the tree making controlled selection difficult. This paper demonstrates robust segmentation by the generation of binary partition trees entirely within the wavelet domain. By using spatial frequency in conjunction with colour, a threshold free tree is produced which compels objects to reside inside single branches of the tree by constraining their merging development. Experimental results show the superior performance of the proposed algorithm compared to the existing colour based BPT algorithms.
  • Keywords
    image colour analysis; image representation; image segmentation; trees (mathematics); wavelet transforms; image segmentation; spatial frequency; threshold free tree; tree based representations; wavelet domain binary partition trees; Aggregates; Animals; Frequency; Image segmentation; Lighting; Merging; Partitioning algorithms; Pixel; Shadow mapping; Wavelet domain; Binary Partition Tree; Image-segmentation; Wavelet; quality measure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Content-Based Multimedia Indexing, 2008. CBMI 2008. International Workshop on
  • Conference_Location
    London
  • Print_ISBN
    978-1-4244-2043-8
  • Electronic_ISBN
    978-1-4244-2044-5
  • Type

    conf

  • DOI
    10.1109/CBMI.2008.4564961
  • Filename
    4564961