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CVPR
1997
IEEE
15 years 1 months ago
Area and Length Minimizing Flows for Shape Segmentation
— A number of active contour models have been proposed that unify the curve evolution framework with classical energy minimization techniques for segmentation, such as snakes. Th...
Kaleem Siddiqi, Steven W. Zucker, Yves Béru...
78
Voted
MICCAI
1998
Springer
15 years 1 months ago
Robust Brain Segmentation Using Histogram Scale-Space Analysis and Mathematical Morphology
Abstract. In this paper, we propose a robust fully non-supervised method dedicated to the segmentation of the brain in T1-weighted MR images. The first step consists in the analysi...
Jean-Francois Mangin, Olivier Coulon, Vincent Frou...
CVPR
2007
IEEE
14 years 11 months ago
Topology-preserving Geometric Deformable Model on Adaptive Quadtree Grid
Topology-preserving geometric deformable models (TGDMs) are used to segment objects that have a known topology. Their accuracy is inherently limited, however, by the resolution of...
Ying Bai, Xiao Han, Jerry L. Prince
75
Voted
MICCAI
2000
Springer
15 years 1 months ago
Segmentation by Adaptive Geodesic Active Contours
This paper introduces the use of spatially adaptive components into the geodesic active contour segmentation method for application to volumetric medical images. These components a...
Carl-Fredrik Westin, Liana M. Lorigo, Olivier D. F...
MICCAI
2007
Springer
15 years 10 months ago
Is a Single Energy Functional Sufficient? Adaptive Energy Functionals and Automatic Initialization
Energy functional minimization is an increasingly popular technique for image segmentation. However, it is far too commonly applied with hand-tuned parameters and initializations t...
Chris McIntosh, Ghassan Hamarneh