期刊
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
卷 26, 期 3, 页码 402-407出版社
IEEE COMPUTER SOC
DOI: 10.1109/TPAMI.2004.1262337
关键词
boundary extraction; image segmentation; gradient vector flow; geodesic active contours; level set methods; additive operator splitting
In this paper, we propose an edge-driven bidirectional geometric flow for boundary extraction. To this end, we combine the geodesic active contour flow [3] and the gradient vector flow external force for snakes [25]. The resulting motion equation is considered within a level set formulation [19], can deal with topological changes and important shape deformations. An efficient numerical schema is used for the flow implementation that exhibits robust behavior and has fast convergence rate [8], [23]. Promising results on real and synthetic images demonstrate the potentials of the flow.
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