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ICIP
2003
IEEE
14 years 9 months ago
A probabilistic framework for image segmentation
A new probabilistic image segmentation model based on hypothesis testing and Gibbs Random Fields is introduced. First, a probabilistic difference measure derived from a set of hyp...
Slawo Wesolkowski, Paul W. Fieguth
ICIP
2001
IEEE
14 years 9 months ago
A comparative evaluation of algorithms for fast computation of level set PDEs with applications to motion segmentation
We address the problem of fast computation of level set partial differential equations (PDEs) in the context of motion segmentation. Although several fast level set computation al...
Abdol-Reza Mansouri, Thierry Chomaud, Janusz Konra...
SODA
2001
ACM
86views Algorithms» more  SODA 2001»
13 years 9 months ago
Pattern matching for sets of segments
In this paper we present algorithms for a number of problems in geometric pattern matching where the input consist of a collections of segments in the plane. Our work consists of ...
Alon Efrat, Piotr Indyk, Suresh Venkatasubramanian
ICIP
2006
IEEE
14 years 9 months ago
Dead-End Elimination as a Heuristic for Min-Cut Image Segmentation
We apply the dead-end elimination (DEE) strategy from protein design as a heuristic for the max-flow/min-cut formulation of the image segmentation problem. DEE combines aspects of...
Mala L. Radhakrishnan, Sara L. Su
FGR
2006
IEEE
297views Biometrics» more  FGR 2006»
14 years 1 months ago
Automatic Skin Segmentation for Gesture Recognition Combining Region and Support Vector Machine Active Learning
Skin segmentation is the cornerstone of many applications such as gesture recognition, face detection, and objectionable image filtering. In this paper, we attempt to address the ...
Junwei Han, George Awad, Alistair Sutherland, Hai ...