Making snakes converge from minimal initialization

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.

[1]  A. Bush.  Perturbation Methods for Engineers and Scientists , 1992 .

[2]  Rachid Deriche,et al.  Stereo matching, reconstruction and refinement of 3D curves using deformable contours , 1993, 1993 (4th) International Conference on Computer Vision.

[3]  ISAAC COHEN,et al.  Using deformable surfaces to segment 3-D images and infer differential structures , 1992, CVGIP Image Underst..

[4]  Anthony Hoogs,et al.  RADIUS common development environment , 1992, Other Conferences.

[5]  Pascal Fua,et al.  Initializing snakes [object delineation] , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[6]  H StaibLawrence,et al.  Boundary Finding with Parametrically Deformable Models , 1992 .

[7]  John F. Canny,et al.  A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  Martin A. Fischler,et al.  Linear delineation , 1987 .

[9]  R. Courant.  Methods of mathematical physics, Volume I , 1965 .

[10]  Frederic Fol Leymarie,et al.  Tracking Deformable Objects in the Plane Using an Active Contour Model , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  R. Samadani.  Changes in connectivity in active contour models , 1989, [1989] Proceedings. Workshop on Visual Motion.

[12]  James S. Duncan,et al.  Boundary Finding with Parametrically Deformable Models , 1992, IEEE Trans. Pattern Anal. Mach. Intell..