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» Image Smoothing and Segmentation by Graph Regularization
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ICCV
2001
IEEE
14 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
SIAMIS
2011
13 years 12 days ago
Level Set Based Multispectral Segmentation with Corners
In this paper we propose an active contour model for segmentation based on the Chan-Vese model. The new model can capture inherent sharp features, i.e., the sharp corners of object...
Wenhua Gao, Andrea L. Bertozzi
JMIV
2008
97views more  JMIV 2008»
13 years 9 months ago
Fusion Graphs: Merging Properties and Watersheds
Region merging methods consist of improving an initial segmentation by merging some pairs of neighboring regions. In this paper, we consider a segmentation as a set of connected r...
Jean Cousty, Gilles Bertrand, Michel Couprie, Laur...
ICCV
2005
IEEE
14 years 11 months ago
A Graph Cut Algorithm for Generalized Image Deconvolution
The goal of deconvolution is to recover an image x from its convolution with a known blurring function. This is equivalent to inverting the linear system y = Hx. In this paper we ...
Ashish Raj, Ramin Zabih
ISBI
2008
IEEE
14 years 10 months ago
Robust image registration based on a Partition of Unity Finite Element Method
In this paper, we present a robust, hierarchical Partition of Unity Finite Element Method (PUFEM) to compute the transformation between two images, which is represented by a non-r...
Laurent D. Cohen, Oudom Somphone, Shérif Ma...