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TIP

1998

1998

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 boundary concavities, however,
have limited their utility. This paper presents 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. It differs fundamentally from
traditional snake external forces in that it cannot be written as the
negative gradient of a potential function, and the corresponding
snake is formulated directly from a force balance condition rather
than a variational formulation. Using several two-dimensional
(2-D) examples and one three-dimensional (3-D) example, we
show that GVF has a large capture range and is able to move
snakes into boundary concavities.

Related Content

Added |
07 Apr 2012 |

Updated |
07 Apr 2012 |

Type |
Journal |

Year |
1998 |

Where |
TIP |

Authors |
Chenyang Xu, Jerry L. Prince |

publication project page: http://www.iacl.ece.jhu.edu/static/gvf/

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