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» A probabilistic framework for image segmentation
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MICCAI
2008
Springer
14 years 9 months ago
Wall Motion Classification of Stress Echocardiography Based on Combined Rest-and-Stress Data
In this paper, we present a new framework that performs automated local wall motion analysis based on the combined information derived from a rest and stress sequence (a full stres...
Sarina Mansor, Nicholas P. Hughes, J. Alison Nob...
ISBI
2006
IEEE
14 years 8 months ago
Coronary tree extraction from X-ray angiograms using marked point processes
In this paper, we use marked point processes to perform an unsupervised extraction of the coronary tree from 2D X-ray angiography. These processes provide a rigorous framework bas...
Caroline Lacoste, Gérard Finet, Isabelle E....
WIAMIS
2009
IEEE
14 years 2 months ago
Full action instances for motion analysis
Motion analysis is an important component of surveillance, video annotation and many other applications. Current work focuses on the tracking of moving entities, the representatio...
Stergios Poularakis, Alexia Briassouli, Ioannis Ko...
CAIP
2003
Springer
161views Image Analysis» more  CAIP 2003»
14 years 1 months ago
Genetic Algorithm to Set Active Contour
Active contours, very popular in image segmentation, suffer from delicate adjustments of many parameters. We propose to carry out these adjustments using genetic algorithm. Here an...
Jean-Jacques Rousselle, Nicole Vincent, Nicolas Ve...
EUROCAST
2003
Springer
108views Hardware» more  EUROCAST 2003»
14 years 1 months ago
Fast Entropy-Based Nonrigid Registration
Computer vision tasks such as learning, recognition, classification or segmentation applied to spatial data often requires spatial normalization of repeated features and structure...
Eduardo Suárez, Jose Aurelio Santana, Eduar...