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ICIAP
1999
ACM
14 years 3 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 deļ¬ned to deform in a feature space generated by a se...
Xose Manuel Pardo, Petia Radeva, Juan José ...
ICPR
2000
IEEE
14 years 3 months ago
Discriminant Snakes for 3D Reconstruction in Medical Images
In this work we proposea new statistic deformable model that we call discriminant snake for 3D reconstruction in volumetric images. Our discriminant snake generalises the classica...
Xose Manuel Pardo, Petia Radeva
ICPR
2000
IEEE
14 years 3 months 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...
ICIP
1994
IEEE
14 years 2 months ago
Active Region Models for Segmenting Medical Images
This paper describes a new region-growing method for segmenting medical images. The method uses a closed snake driven by a pressure force that is a function of the statistical cha...
Jim Ivins, John Porrill
SMC
2010
IEEE
198views Control Systems» more  SMC 2010»
13 years 9 months ago
Fast tracking of natural textures using fractal snakes
Abstract ā€” The natural environments that robotic applications often encounter can present difficult problems for imagebased task execution. Prior efforts have used both grayscale...
Christopher E. Smith