Interactive image segmentation on directed graphs

Image analysis – Image segmentation

Reexamination Certificate

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C382S199000

Reexamination Certificate

active

08009911

ABSTRACT:
Methods for segmentation of an object from a background in an image are disclosed. Segmentation is achieved by an adapted Random Walker segmentation method using directed edges in a graph. The segmentation applies the minimization of an approximation of an energy function. A minimizer of the approximated energy function can be found by using iterative steps. Weights are assigned to an edge between two nodes. The weights are dependent on the direction of an edge. A system for segmentation of an object from a background is also disclosed.

REFERENCES:
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patent: 7627175 (2009-12-01), Le Clerc et al.
Boykov, Yuri et al., “Interactive Graph Cuts for Optimal Boundary and Region Segmentation of Objects in N-D Images”,Proceedings of “Int. Conf. on Comp. Vision”,Vancouver, Jul. 2001, page vol. I, 105-112, 105-112.
Grady, Leo “Random Walks for Image Segmentation”,IEEE Trans. Pattern Anal. and Mach. Int.,vol. 28 No. 11 Nov. 2006, 1-17.
Boykov, Yuri et al., “Graph Cuts and Efficient N-D Image Segmentation”,International Journal of Com uter Vision,70(2), 109-131, 2006, 109-131.

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