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» Shape-Based Image Segmentation Using Normalized Cuts
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CVPR
1999
IEEE
16 years 1 months ago
Stochastic Image Segmentation by Typical Cuts
We present a stochastic clustering algorithm which uses pairwise similarity of elements, based on a new graph theoretical algorithm for the sampling of cuts in graphs. The stochas...
Yoram Gdalyahu, Daphna Weinshall, Michael Werman
MICCAI
2010
Springer
14 years 10 months ago
Joint Registration and Segmentation of Dynamic Cardiac Perfusion Images Using MRFs
In this paper we propose a Markov random field (MRF) based method for joint registration and segmentation of cardiac perfusion images, specifically the left ventricle (LV). MRFs ...
Dwarikanath Mahapatra, Ying Sun
CVPR
2010
IEEE
15 years 8 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
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
CVPR
2008
IEEE
1042views Computer Vision» more  CVPR 2008»
16 years 1 months ago
Graph cut based image segmentation with connectivity priors
Graph cut is a popular technique for interactive image segmentation. However, it has certain shortcomings. In particular, graph cut has problems with segmenting thin elongated obj...
Sara Vicente, Vladimir Kolmogorov, Carsten Rother