109 search results - page 12 / 22 » A New Convex Variational Model for Liver Segmentation |
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. Foreground and background segmentation is a typical problem in computer vision and medical imaging. In this paper, we propose a new learning based approach for 3D segment...
IPMI
2001
Springer
14 years 8 months ago
2001
Springer
Abstract. This paper presents a new and integrated approach to automatic 3D brain vessel segmentation using physics-based statistical models of background and vascular signals, and...
VTS
2000
IEEE
13 years 11 months ago
2000
IEEE
The performance of deep sub-micron designs can be affected by various parametric variations, manufacturing defects, noise or even modeling errors that are all statistical in natur...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...
EMMCVPR
2005
Springer
14 years 26 days ago
2005
Springer
This paper is devoted to piecewise-constant segmentation of images using a curve evolution approach in a variational formulation. The problem to be solved is also called the minima...