Snakes, Shapes, and Gradient Vector Flow

Snakes, Shapes, and Gradient Vector Flow (1998)

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by Chenyang Xu , Jerry L. Prince

Venue:	IEEE TRANSACTIONS ON IMAGE PROCESSING
Citations:	336 - 12 self

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Datum	Value	Source
TITLE	Snakes, Shapes, and Gradient Vector Flow	user correction - Legacy Corrections
AUTHOR NAME	Chenyang Xu	user correction
AUTHOR AFFIL	Image Analysis and Communications Laboratory, Department of Electrical and Computer Engineering, The Johns Hopkins University	user correction
AUTHOR ADDR	Baltimore, MD 21218 USA	user correction
AUTHOR NAME	Jerry L. Prince	user correction
AUTHOR AFFIL	Image Analysis and Communications Laboratory, Department of Electrical and Computer Engineering, The Johns Hopkins University	user correction
AUTHOR ADDR	Baltimore, MD 21218 USA	user correction
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 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.	user correction
YEAR	1998	INFERENCE
VENUE	IEEE TRANSACTIONS ON IMAGE PROCESSING	user correction
VENUE TYPE	JOURNAL	INFERENCE
PAGES	359--369	INFERENCE
VOLUME	7	INFERENCE
NUMBER	3	user correction
CITATIONS	26 found	ParsCit 1.0