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» Loop-Free Snakes for Image Segmentation
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BMVC
1998
13 years 9 months ago
Color Invariant Snakes
Snakes provide high-level information in the form of continuity constraints and minimum energy constraints related to the contour shape and image features. These image features ar...
Theo Gevers, Sennay Ghebreab, Arnold W. M. Smeulde...
ICIP
2006
IEEE
14 years 9 months ago
Vector Field Convolution for Image Segmentation using Snakes
Snakes, or active contours, have been widely used in image processing applications. Typical roadblocks to consistent performance include limited capture range, noise sensitivity, ...
Bing Li, Scott T. Acton
ICIAP
1999
ACM
14 years 5 days 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 deļ¬ned to deform in a feature space generated by a se...
Xose Manuel Pardo, Petia Radeva, Juan José ...
ICPR
2000
IEEE
14 years 9 days ago
Eigensnakes for Vessel Segmentation in Angiography
In this paper we introduce a new deformable model, called eigensnake, for segmentation of elongated structures in a probabilistic framework. Instead of snake attraction by speciļ¬...
Ricardo Toledo, Xavier Orriols, Petia Radeva, Xavi...
CVPR
1997
IEEE
12 years 4 months ago
Gradient Vector Flow: A New External Force for Snakes
Snakes, or active contours, are used extensively in computer vision and image processing applications, particularly to locate object boundaries. Problems associated with initial...
Chenyang Xu, Jerry L. Prince