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» Normalized Cuts and Image Segmentation
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MICCAI
2008
Springer
15 years 10 months ago
Interactive Separation of Segmented Bones in CT Volumes Using Graph Cut
Lu Liu, David Raber, David Nopachai, Paul K. Comme...
135
Voted
IJCV
2006
299views more  IJCV 2006»
14 years 9 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
91
Voted
CVPR
2010
IEEE
15 years 5 months ago
Collect-Cut: Segmentation with Top-Down Cues Discovered in Multi-Object Images
We present a method to segment a collection of unlabeled images while exploiting automatically discovered appearance patterns shared between them. Given an unlabeled pool of multi...
Yong Jae Lee, Kristen Grauman
103
Voted
CVPR
2007
IEEE
15 years 11 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
ICCV
2001
IEEE
15 years 11 months ago
Image Segmentation with Minimum Mean Cut
We introduce a new graph-theoretic approach to image segmentation based on minimizing a novel class of `mean cut' cost functions. Minimizing these cost functions corresponds ...
Song Wang, Jeffrey Mark Siskind