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» Image segmentation using curve evolution and flow fields
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ICIP
2003
IEEE
14 years 9 months ago
Incorporating complex statistical information in active contour-based image segmentation
We propose an information-theoretic method for multi-phase image segmentation, in an active contour-based framework. Our approach is based on nonparametric density estimates, and ...
Alan S. Willsky, Anthony J. Yezzi, John W. Fisher ...
TIP
2010
146views more  TIP 2010»
13 years 6 months ago
Effective Level Set Image Segmentation With a Kernel Induced Data Term
Abstract—This study investigates level set multiphase image segmentation by kernel mapping and piecewise constant modeling of the image data thereof. A kernel function maps impli...
Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed
ISM
2006
IEEE
277views Multimedia» more  ISM 2006»
13 years 7 months ago
Efficient Bottom-Up Image Segmentation Using Region Competition and the Mumford-Shah Model for Color and Textured Images
Curve evolution implementations [3][23] [25] of the Mumford-Shah functional [16] are of broad interest in image segmentation. These implementations, however, have initialization p...
Yongsheng Pan, J. Douglas Birdwell, Seddik M. Djou...
CVPR
2003
IEEE
1110views Computer Vision» more  CVPR 2003»
14 years 9 months ago
Motion Segmentation with Accurate Boundaries - A Tensor Voting Approach
Producing an accurate motion flow field is very difficult at motion boundaries. We present a novel, noniterative approach for segmentation from image motion, based on two voting p...
Gérard G. Medioni, Mircea Nicolescu
CVPR
2004
IEEE
14 years 9 months ago
Dynamic Geodesic Snakes for Visual Tracking
Visual tracking using active contours is usually accomplished in a static framework. The active contour tracks the object of interest in a given frame of an image sequence, and th...
Marc Niethammer, Allen Tannenbaum