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
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;
Conference_Titel :
Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-8186-5825-8
DOI :
10.1109/CVPR.1994.323783