We propose an information-theoretic method for multi-phase image segmentation, in an active contour-based framework. Our approach is based on nonparametric density estimates, and ...
Alan S. Willsky, Anthony J. Yezzi, John W. Fisher ...
We study the evolution of T-spline level sets (i.e, implicitly defined T-spline curves and surfaces). The use of T-splines leads to a sparse representation of the geometry and al...
In this paper, we propose a hybrid approach for the automatic three-dimensional segmentation of coronary arteries using multi-scale vessel filtering and a Bayesian probabilistic ...
Yan Yang, Allen Tannenbaum, Don P. Giddens, Arthur...
The classical morphological segmentation paradigm is based on the watershed transform, constructed by flooding the gradient image seen as a topographic surface. For flooding a to...
The use of statistical shape models is a promising approach for robust segmentation of medical images. One of the major challenges in building a 3D shape model from a training set ...