.png){kind=icon}
Return
Snakes, shapes, and gradient vector flow
.png){kind=icon}
OA
AI
DOI：10.1109/83.661186.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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 forte, 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.
Keywords:
active contour models
deformable surface models
edge detection
gradient vector flow
image segmentation
shape representation and recovery
snakes
Journal
IF:
13.7
Papers:
1.0W
Citations:
8.4W
Organization
No organization information available
Cited Papers
ShareSaveShareSaveThe feasibility and safety of cryoablation as an adjuvant therapy with transurethral resection of bladder tumor: A pilot study.png)
Cryobiology
CryobiologyIF0
PREAI
ShareSaveShareSaveShareSave
View more