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ICIAP
1999
ACM
15 years 6 months ago
Self-Training Statistic Snake for Image Segmentation and Tracking
In this work we propose a new supervised deformable model that generalizes the classical contour-based snake. This model is defined to deform in a feature space generated by a se...
Xose Manuel Pardo, Petia Radeva, Juan José ...
DAGM
2008
Springer
15 years 4 months ago
A Probabilistic Segmentation Scheme
We propose a probabilistic segmentation scheme, which is widely applicable to some extend. Besides the segmentation itself our model incorporates object specific shading. Dependent...
Dmitrij Schlesinger, Boris Flach
TIP
2002
179views more  TIP 2002»
15 years 1 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
FIMH
2005
Springer
15 years 7 months ago
Suppression of IVUS Image Rotation. A Kinematic Approach
IntraVascular Ultrasound (IVUS) is an exploratory technique used in interventional procedures that shows cross section images of arteries and provides qualitative information about...
Misael Rosales, Petia Radeva, Oriol Rodriguez, Deb...
ICCV
2009
IEEE
16 years 7 months ago
Level Set Segmentation with Both Shape and Intensity Priors
We present a new variational level-set-based segmentation formulation that uses both shape and intensity prior information learned from a training set. By applying Bayes’ rule...
Siqi Chen and Richard J. Radke