• DocumentCode
    2077859
  • Title

    Initializing snakes [object delineation]

  • Author

    Neuenschwander, W. ; Fua, P. ; Szekely, G. ; Kubler, O.

  • Author_Institution
    Commun. Technol. Lab., Swiss Federal Inst. of Technol., Zurich, Switzerland
  • fYear
    1994
  • fDate
    21-23 Jun 1994
  • Firstpage
    658
  • Lastpage
    663
  • Abstract
    We propose a snake-based approach that lets a user specify only the distant end points of the curve he wishes to delineate without having to supply an almost complete polygonal approximation. We achieve much better convergence properties than those of traditional snakes by using the image information around these end points to provide boundary conditions and by introducing an optimization schedule that allows the snake to take image information into account first only near its extremities and then, progressively, towards its center. These snakes could be used to alleviate the often repetitive task practitioners have to face when segmenting images by abolishing the need to sketch a feature of interest in its entirety, that is, to perform a painstaking, almost complete, manual segmentation
  • Keywords
    computational geometry; image segmentation; boundary conditions; convergence properties; distant end points; image information; images segmentation; snake-based approach; Geometric modeling; Image segmentation; Object recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-5825-8
  • Type

    conf

  • DOI
    10.1109/CVPR.1994.323783
  • Filename
    323783