Adaptive balloon models
Xiaobo Li
Jiankang Wang
Dept. of Comput. Sci., Alberta Univ., Edmonton, Alta.;
This paper appears in: Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on.
Publication Date: 1999
Volume: 2,
On page(s): -439 Vol. 2
Meeting Date: 06/23/1999 - 06/25/1999
Location: Fort Collins, CO, USA
ISBN: 0-7695-0149-4
References Cited: 8
INSPEC Accession Number: 6338790
Digital Object Identifier: 10.1109/CVPR.1999.784717
Current Version Published: 2002-08-06
Abstract
The original snake models require a close initialization which in
many situations are difficult to acquire. The balloon model presented by
Cohen et al. to solve this problem suffers from the difficulty of
choosing a constant inflating force due to variable internal shrinking
forces and non-constant boundary intensity levels. Xu et al., on the
other hand, proposed to use a pressure force to exactly offset the
shrinking forces. The resulting model achieves better stability in terms
of parameter insensitivity by sacrificing smoothness constraints, thus
it would go through even small gaps on a boundary. We instead propose to
compute an adaptive inflating force locally for each snaxel so that it
is just enough to overcome the image force. A new smoothness constraint
which can maintain smoothness without any shrinking side-effects is also
presented, along with a new way to resample a balloon without
significantly reducing its tension. The combined model is sensitive to
weak and incomplete boundaries, and yet able to overcome noise edges.
Experimental results are reported to support our statements
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