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1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97)
Gradient Vector Flow: A New External Force for Snakes
Puerto Rico
June 17-June 19
ISBN: 0-8186-7822-4
Chenyang Xu, The Johns Hopkins University
Jerry L. Prince, The Johns Hopkins University
Snakes, or active contours, are used extensively in computer vision and image processing applications, particularly to locate object boundaries. Problems associated with initialization and poor convergence to concave boundaries, however, have limited their utility. This paper develops a new external force for active contours, largely solving both problems. This external force, which we call gradient vector flow (GVF), is computed as a diffusion of the gradient vectors of a gray-level or binary edge map derived from the image. The resultant field has a large capture range and forces active contours into concave regions. Examples on simulated images and one real image are presented.
Index Terms:
active contour models, shape representation and recovery, pattern analysis.
Citation:
Chenyang Xu, Jerry L. Prince, "Gradient Vector Flow: A New External Force for Snakes," cvpr, pp.66, 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97), 1997
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