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CVPR
2008
IEEE
14 years 6 months ago
Graph cut with ordering constraints on labels and its applications
In the last decade, graph-cut optimization has been popular for a variety of pixel labeling problems. Typically graph-cut methods are used to incorporate a smoothness prior on a l...
Xiaoqing Liu, Olga Veksler, Jagath Samarabandu
ICPR
2008
IEEE
13 years 11 months ago
Medical image segmentation via min s-t cuts with sides constraints
Graph cut algorithms (i.e., min s-t cuts) [3][10][15] are useful in many computer vision applications. In this paper we develop a formulation that allows the addition of side cons...
Jiun-Hung Chen, Linda G. Shapiro
PAMI
2010
139views more  PAMI 2010»
13 years 3 months ago
Order-Preserving Moves for Graph-Cut-Based Optimization
— In the last decade, graph-cut optimization has been popular for a variety of labeling problems. Typically graph-cut methods are used to incorporate smoothness constraints on a ...
Xiaoqing Liu, Olga Veksler, Jagath Samarabandu
ICCV
2007
IEEE
14 years 6 months ago
LogCut - Efficient Graph Cut Optimization for Markov Random Fields
Markov Random Fields (MRFs) are ubiquitous in lowlevel computer vision. In this paper, we propose a new approach to the optimization of multi-labeled MRFs. Similarly to -expansion...
Victor S. Lempitsky, Carsten Rother, Andrew Blake
ACIVS
2006
Springer
13 years 10 months ago
A Linear-Time Approach for Image Segmentation Using Graph-Cut Measures
Abstract. Image segmentation using graph cuts have become very popular in the last years. These methods are computationally expensive, even with hard constraints (seed pixels). We ...
Alexandre X. Falcão, Paulo A. V. Miranda, A...