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Towards autonomy in active contour models
[1990] Proceedings. 10th International Conference on Pattern Recognition, 2002 The strengths and the drawbacks of active contour models are described, and the absolute necessity of a criterion for assessing the solutions is pointed out. A method called snake growing, based on successive lengthenings of the snake, is proposed.
Berger, Marie-Odile, Mohr, Roger
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International Journal of Computer Vision, 1988
A snake is an energy-minimizing spline guided by external constraint forces and influenced by image forces that pull it toward features such as lines and edges. Snakes are active contour models: they lock onto nearby edges, localizing them accurately. Scale-space continuation can be used to enlarge the capture region surrounding a feature.
Michael Kass +2 more
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A snake is an energy-minimizing spline guided by external constraint forces and influenced by image forces that pull it toward features such as lines and edges. Snakes are active contour models: they lock onto nearby edges, localizing them accurately. Scale-space continuation can be used to enlarge the capture region surrounding a feature.
Michael Kass +2 more
exaly +2 more sources
2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 2011
This paper presents a Fuzzy Active Contour Model for image segmentation using three variations. The proposed models are based on the Fuzzy Energy-Based Active Contour model introduced by Krinidis and Chatzis. First, an update criteria that changes only localized membership values at each iteration is introduced.
Tsang InG Ren, George D C Cavalcanti
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This paper presents a Fuzzy Active Contour Model for image segmentation using three variations. The proposed models are based on the Fuzzy Energy-Based Active Contour model introduced by Krinidis and Chatzis. First, an update criteria that changes only localized membership values at each iteration is introduced.
Tsang InG Ren, George D C Cavalcanti
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Fast Implicit Active Contour Models
, 2002 Implicit active contour models are widely used in image processing and computer vision tasks. Most implementations, however, are based on explicit updating schemes and are therefore of limited computational efficiency. In this paper, we present fast algorithms based on the semi-implicit additive operator splitting (AOS) scheme for both the geometric ...
Kühne, Gerald +3 more
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Intracranial contour extraction with active contour models
Journal of Magnetic Resonance Imaging, 1997AbstractA novel image processing scheme for extracting the intracranial contours in axial magnetic resonance data sets is proposed. The scheme incorporates the method of active contour models, a recently introduced paradigm for contour extraction. Its performance is nearly ideal for T2‐weighted images.
S, Matsumoto +3 more
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MAC: Magnetostatic Active Contour Model
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008We propose an active contour model using an external force field that is based on magnetostatics and hypothesized magnetic interactions between the active contour and object boundaries. The major contribution of the method is that the interaction of its forces can greatly improve the active contour in capturing complex geometries and dealing with ...
Xianghua Xie, Majid Mirmehdi
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An active contour model for mapping the cortex
IEEE Transactions on Medical Imaging, 1995A new active contour model for finding and mapping the outer cortex in brain images is developed. A cross-section of the brain cortex is modeled as a ribbon, and a constant speed mapping of its spine is sought. A variational formulation, an associated force balance condition, and a numerical approach are proposed to achieve this goal.
Christos Davatzikos, Jerry L. Prince
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