Gradient vector flow: A new external force for snakes

Chenyang Xu, Jerry L. Prince

Research output: Contribution to journalConference articlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)66-71
Number of pages6
JournalProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
StatePublished - Jan 1 1997
EventProceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - San Juan, PR, USA
Duration: Jun 17 1997Jun 19 1997

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

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