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Most Influential CVPR 1997 Paper · 2026-03 edition

Gradient Vector Flow: A New External Force For Snakes

Chenyang Xu and J. L. Prince

Venue
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 1997
Recognition
Most Influential CVPR 1997 Paper (Rank No. 10)
Edition
2026-03
Impact factor
9
Certificate ID
6a60677eb03cf4a2

Abstract

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.

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