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» Image Smoothing and Segmentation by Graph Regularization
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ICCV
2001
IEEE
16 years 3 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
14 years 4 months 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»
15 years 1 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
16 years 3 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
16 years 2 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...