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» Improved Snake Model for Fast Image Segmentation
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ICPR
2000
IEEE
13 years 11 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 speciï¬...
Ricardo Toledo, Xavier Orriols, Petia Radeva, Xavi...
MICCAI
2003
Springer
14 years 8 months ago
User-Defined B-Spline Template-Snakes
We combine a new user initialization process with a B-spline snake to create a model with the properties of a deformable template. This `template' snake can be constrained by ...
Tim McInerney, Hoda Dehmeshki
ICIP
2001
IEEE
14 years 8 months ago
Region-based approach for discriminant snakes
This paper proposes a statistic framework for segmenting textured areas over real images by discriminant snakes. Our active contour model has the ability to learn different textur...
Jordi Vitrià, Petia Radeva
EMMCVPR
2003
Springer
14 years 9 days ago
Curvature Vector Flow to Assure Convergent Deformable Models for Shape Modelling
Poor convergence to concave shapes is a main limitation of snakes as a standard segmentation and shape modelling technique. The gradient of the external energy of the snake represe...
Debora Gil, Petia Radeva
MICCAI
2008
Springer
14 years 8 months ago
Active Volume Models with Probabilistic Object Boundary Prediction Module
We propose a novel Active Volume Model (AVM) which deforms in a free-form manner to minimize energy. Unlike Snakes and level-set active contours which only consider curves or surfa...
Tian Shen, Yaoyao Zhu, Xiaolei Huang, Junzhou H...