• DocumentCode
    249324
  • Title

    Eikonal-based vertices growing and iterative seeding for efficient graph-based segmentation

  • Author

    Buyssens, P. ; Toutain, M. ; Elmoataz, A. ; Lezoray, O.

  • Author_Institution
    GREYC, Univ. de Caen Basse-Normandie, Caen, France
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    4368
  • Lastpage
    4372
  • Abstract
    In this paper we propose to use the Eikonal equation on graphs for generalized data clustering. We introduce a new potential function that favors the creation of homogeneous clusters together with an iterative algorithm that place seeds vertices at smart locations. Oversegmentation application shows the effectiveness of our approach and gives results comparable to the state-of-the-art methods.
  • Keywords
    graph theory; image segmentation; iterative methods; pattern clustering; Eikonal equation; Eikonal-based vertex growing; generalized data clustering; graph-based segmentation; homogeneous clusters; iterative algorithm; iterative seeding; Clustering algorithms; Equations; Image color analysis; Image segmentation; Iterative methods; Mathematical model; Measurement; Eikonal equation; Graphs; Oversegmentation; Seeds positioning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025886
  • Filename
    7025886