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Initializing Snakes

W. Neuenschwander, P. Fua, G. Székely and O. Kübler
IEEE Computer Society Conference on Computer Vision and Pattern Recognition
June 1994

Abstract

In this paper, 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.


Download in postscript format
@InProceedings{eth_biwi_00031,
  author = {W. Neuenschwander and P. Fua and G. Székely and O. K\"ubler},
  title = {Initializing Snakes},
  booktitle = {IEEE Computer Society Conference on Computer Vision and Pattern Recognition},
  year = {1994},
  month = {June},
  pages = {658-663},
  keywords = {grouping, segmentation, deformable, surface, deformable models, snakes}
}