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Making Snakes Converge from Minimal Initialization

W. Neuenschwander, P. Fua, G. Székely and O. K├╝bler
International Conference on Pattern Recognition


In this paper, we present a new snake-based method to delineate contours where the user has to specify only the two distant end points without having to supply an almost complete polygonal approximation. We achieve much better convergence properties than those of traditional snakes by propagating the image information along the curve from both end points towards its center. We use our new method to outline curved object boundaries and for interactive road delineation.

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  author = {W. Neuenschwander and P. Fua and G. Székely and O. K\"ubler},
  title = {Making Snakes Converge from Minimal Initialization},
  booktitle = {International Conference on Pattern Recognition},
  year = {1994},
  pages = {613-615},
  keywords = {grouping, segmentation, deformable, surface, deformable models, snakes}