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ICIP
2003
IEEE
16 years 8 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
VIS
2007
IEEE
123views Visualization» more  VIS 2007»
16 years 7 months ago
Multifield Visualization Using Local Statistical Complexity
Modern unsteady (multi-)field visualizations require an effective reduction of the data to be displayed. From a huge amount of information the most informative parts have to be ext...
Heike Jänicke, Alexander Wiebel, Gerik Scheuerm...
ICPR
2008
IEEE
16 years 24 days ago
Background subtraction technique based on chromaticity and intensity patterns
This paper presents an efficient Real-Time method for detecting moving objects in unconstrained environments, using a background subtraction technique. A new background model that...
Ariel Amato, Mikhail Mozerov, Ivan Huerta Casado, ...
ICRA
2007
IEEE
174views Robotics» more  ICRA 2007»
16 years 20 days ago
Full Motion Tracking in Ultrasound Using Image Speckle Information and Visual Servoing
— This paper presents a new visual servoing method that is able to stabilize a moving area of soft tissue within an ultrasound B-mode imaging plane. The approach consists of movi...
Alexandre Krupa, Gabor Fichtinger, Gregory D. Hage...
EMMCVPR
2005
Springer
15 years 12 months ago
Segmentation Informed by Manifold Learning
In many biomedical imaging applications, video sequences are captured with low resolution and low contrast challenging conditions in which to detect, segment, or track features. Wh...
Qilong Zhang, Richard Souvenir, Robert Pless