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» Reducing graphs in graph cut segmentation
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172
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IJCV
2006
299views more  IJCV 2006»
14 years 11 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
90
Voted
CVPR
2004
IEEE
16 years 1 months ago
Segment-Based Stereo Matching Using Graph Cuts
In this paper, we present a new segment-based stereo matching algorithm using graph cuts. In our approach, the reference image is divided into non-overlapping homogeneous segments...
Li Hong, George Chen
116
Voted
MEMICS
2010
14 years 6 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
118
Voted
CVPR
2007
IEEE
16 years 1 months ago
A Graph Cut Approach to Image Segmentation in Tensor Space
This paper proposes a novel method to apply the standard graph cut technique to segmenting multimodal tensor valued images. The Riemannian nature of the tensor space is explicitly...
Allen Tannenbaum, James G. Malcolm, Yogesh Rathi
MICCAI
2000
Springer
15 years 3 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