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» Fast Global Minimization of the Active Contour Snake Model
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ICIAR
2009
Springer
15 years 4 months ago
Implicit Active-Contouring with MRF
In this paper, we present a new image segmentation method based on energy minimization for iteratively evolving an implicit active contour. Methods for active contour evolution is ...
Pierre-Marc Jodoin, Venkatesh Saligrama, Janusz Ko...
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...
CVPR
1999
IEEE
1104views Computer Vision» more  CVPR 1999»
15 years 11 months ago
Geodesic Active Contours for Supervised Texture Segmentation
This paper presents a variational method for supervised texture segmentation, which is based on ideas coming from the curve propagation theory. We assume that a preferable texture...
Nikos Paragios, Rachid Deriche
PR
2007
143views more  PR 2007»
14 years 9 months ago
Shadow resistant tracking using inertia constraints
In this paper, we present a new method for tracking objects with shadows. Traditional motion-based tracking schemes cannot usually distinguish the shadow from the object itself, a...
Hao Jiang, Mark S. Drew
ISVC
2010
Springer
14 years 7 months ago
Split Bregman Method for Minimization of Region-Scalable Fitting Energy for Image Segmentation
Abstract. In this paper, we incorporated the global convex segmentation method and the split Bregman technique into the region-scalable fitting energy model. The new proposed metho...
Yunyun Yang, Chunming Li, Chiu-Yen Kao, Stanley Os...