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» Imaging applications of stochastic minimal graphs
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ISVC
2005
Springer
13 years 11 months ago
Image Smoothing and Segmentation by Graph Regularization
We propose a discrete regularization framework on weighted graphs of arbitrary topology, which leads to a family of nonlinear filters, such as the bilateral filter or the TV digi...
Sébastien Bougleux, Abderrahim Elmoataz
ICCV
2009
IEEE
13 years 3 months ago
Minimizing energy functions on 4-connected lattices using elimination
We describe an energy minimization algorithm for functions defined on 4-connected lattices, of the type usually encountered in problems involving images. Such functions are often ...
Peter Carr, Richard Hartley
EMMCVPR
2001
Springer
13 years 10 months ago
An Experimental Comparison of Min-cut/Max-flow Algorithms for Energy Minimization in Vision
After [15, 31, 19, 8, 25, 5] minimum cut/maximum flow algorithms on graphs emerged as an increasingly useful tool for exact or approximate energy minimization in low-level vision...
Yuri Boykov, Vladimir Kolmogorov
ICIP
2010
IEEE
13 years 4 months ago
Image partitioning with kernel mapping and graph cuts
A novel multiregion graph cut image partitioning method combined with kernel mapping is presented. A kernel function transforms implicitly the image data into data of a higher dim...
Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed
TIP
2011
164views more  TIP 2011»
13 years 1 months ago
Multiregion Image Segmentation by Parametric Kernel Graph Cuts
Abstract—The purpose of this study is to investigate multiregion graph cut image partitioning via kernel mapping of the image data. The image data is transformed implicitly by a ...
Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed