articleNov 22, 2002Closed access

Gradient vector flow: a new external force for snakes

Johns Hopkins University

Indexed incrossref

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.

Citation impact

754
total citations
FWCI
28.14
Percentile
100%
References
24
Citations per year

Authors

2

Topics & keywords

Keywords
  • Vector flow
  • Initialization
  • Computer vision
  • Artificial intelligence
  • Computer science
  • Vector field
  • Image processing
  • Convergence (economics)
UN Sustainable Development Goals
  • No poverty
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