Geodesic Active Contours

Geodesic Active Contours (1997)

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by Vicent Caselles , Ron Kimmel , Guillermo Sapiro

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Datum	Value	Source
TITLE	Geodesic Active Contours	user correction
AUTHOR NAME	Vicent Caselles	user correction
AUTHOR AFFIL	Department of Mathematics and Informatics, University of Illes Balears	user correction
AUTHOR ADDR	07071 Palma de Mallorca, Spain	user correction
AUTHOR NAME	Ron Kimmel	user correction
AUTHOR ADDR	Department of Electrical Engineering, Technion, I.I.T., Haifa 32000, Israel	user correction
AUTHOR NAME	Guillermo Sapiro	user correction
AUTHOR AFFIL	Hewlett-Packard Labs	user correction
AUTHOR ADDR	1501 Page Mill Road, Palo Alto, CA 94304	user correction
ABSTRACT	A novel scheme for the detection of object boundaries is presented. The technique is based on active contours evolving in time according to intrinsic geometric measures of the image. The evolving contours naturally split and merge, allowing the simultaneous detection of several objects and both interior and exterior boundaries. The proposed approach is based on the relation between active contours and the computation of geodesics or minimal distance curves. The minimal distance curve lays in a Riemannian space whose metric is defined by the image content. This geodesic approach for object segmentation allows to connect classical "snakes" based on energy minimization and geometric active contours based on the theory of curve evolution. Previous models of geometric active contours are improved, allowing stable boundary detection when their gradients suffer from large variations, including gaps. Formal results concerning existence, uniqueness, stability, and correctness of the evolution are presented as well. The scheme was implemented using an efficient algorithm for curve evolution. Experimental results of applying the scheme to real images including objects with holes and medical data imagery demonstrate its power. The results may be extended to 3D object segmentation as well.	user correction
YEAR	1997	user correction - Legacy Corrections
CITATIONS	51 found	ParsCit 1.0