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» A Graph Cut Approach to Image Segmentation in Tensor Space
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MICCAI
2000
Springer
13 years 11 months ago
Interactive Organ Segmentation Using Graph Cuts
Abstract. An N-dimensional image is divided into "object" and "background" segments using a graph cut approach. A graph is formed by connecting all pairs of nei...
Yuri Boykov, Marie-Pierre Jolly
CVPR
2004
IEEE
14 years 9 months ago
Multigrid and Multi-Level Swendsen-Wang Cuts for Hierarchic Graph Partition
Many vision tasks can be formulated as partitioning an adjacency graph through optimizing a Bayesian posterior probability p defined on the partition-space. In this paper two appr...
Adrian Barbu, Song Chun Zhu
IJCV
2006
299views more  IJCV 2006»
13 years 7 months ago
Graph Cuts and Efficient N-D Image Segmentation
Combinatorial graph cut algorithms have been successfully applied to a wide range of problems in vision and graphics. This paper focusses on possibly the simplest application of gr...
Yuri Boykov, Gareth Funka-Lea
MEMICS
2010
13 years 2 months ago
A Simple Topology Preserving Max-Flow Algorithm for Graph Cut Based Image Segmentation
In this paper, we propose a modification to the Boykov-Kolmogorov maximum flow algorithm [2] in order to make the algorithm preserve the topology of an initial interface. This alg...
Ondrej Danek, Martin Maska
CVPR
2010
IEEE
14 years 3 months ago
Geodesic Graph Cut for Interactive Image Segmentation
Interactive segmentation is useful for selecting objects of interest in images and continues to be a topic of much study. Methods that grow regions from foreground/background seed...
Brian Price, Bryan Morse, Scott Cohen