DocumentCode :
3092022
Title :
Making snakes converge from minimal initialization
Author :
Neuenschwander, W. ; Fua, P. ; Szekely, G. ; Kubler, O.
Author_Institution :
Commun. Technol. Lab., Swiss Federal Inst. of Technol., Zurich, Switzerland
Volume :
1
fYear :
1994
fDate :
9-13 Oct 1994
Firstpage :
613
Abstract :
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
Keywords :
image representation; contour delineation; curved object boundaries; image information propagation; interactive road delineation; minimal initialization; snake convergence; Active contours; Artificial intelligence; Communications technology; Image converters; Image segmentation; Laboratories; Mathematical model; Roads;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6265-4
Type :
conf
DOI :
10.1109/ICPR.1994.576376
Filename :
576376
Link To Document :
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