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» Image Segmentation with Minimum Mean Cut
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ICCV
2001
IEEE
14 years 6 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
CVPR
2005
IEEE
14 years 6 months ago
Quantitative Evaluation of a Novel Image Segmentation Algorithm
We present a quantitative evaluation of SE-MinCut, a novel segmentation algorithm based on spectral embedding and minimum cut. We use human segmentations from the Berkeley Segment...
Francisco J. Estrada, Allan D. Jepson
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...
ISMM
2011
Springer
12 years 7 months ago
Incremental Algorithm for Hierarchical Minimum Spanning Forests and Saliency of Watershed Cuts
We study hierarchical segmentations that are optimal in the sense of minimal spanning forests of the original image. We introduce a region-merging operation called uprooting, and w...
Jean Cousty, Laurent Najman
ACCV
2009
Springer
13 years 11 months ago
Iterated Graph Cuts for Image Segmentation
Graph cuts based interactive segmentation has become very popular over the last decade. In standard graph cuts, the extraction of foreground object in a complex background often le...
Bo Peng, Lei Zhang, Jian Yang