| | |
Summary: 1406 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 17, NO. 8, AUGUST 2008
Automatic Active Model Initialization
via Poisson Inverse Gradient
Bing Li, Student Member, IEEE, and Scott T. Acton, Senior Member, IEEE
Abstract--Active models have been widely used in image pro-
cessing applications. A crucial stage that affects the ultimate active
model performance is initialization. This paper proposes a novel
automatic initialization approach for parametric active models
in both 2-D and 3-D. The PIG initialization method exploits a
novel technique that essentially estimates the external energy field
from the external force field and determines the most likely initial
segmentation. Examples and comparisons with two state-of-the-
art automatic initialization methods are presented to illustrate
the advantages of this innovation, including the ability to choose
the number of active models deployed, rapid convergence, ac-
commodation of broken edges, superior noise robustness, and
segmentation accuracy.
Index Terms--Active contours, active models, active surfaces,
deformable models, deformable surfaces, initialization, Poisson's
equation, Poisson inverse gradient, snakes.
|
