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Towards autonomy in active contour models
[1990] Proceedings. 10th International Conference on Pattern Recognition, 2002The 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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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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Region scalable active contour model with global constraint
Knowledge-Based Systems, 2017 © 2016 Existing Active Contour methods suffer from the deficiencies of initialization sensitivity, slow convergence, and being insufficient in the presence of image noise and inhomogeneity. To address these problems, this paper proposes a region scalable
Xiaodong Yue, Hamido Fujita
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On active contour models and balloons
CVGIP: Image Understanding, 1991Summary: The use of energy-minimizing curves, known as ``snakes'', to extract features of interest in images has been introduced by \textit{M. Kass}, \textit{A. Witkin} and \textit{D. Terzopoulos} [Int. J. Comput. Vision 1, 321-331 (1987)]. We present a model of deformation which solves some of the problems encountered with the original method.
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A multistage, optimal active contour model
IEEE Transactions on Image Processing, 1996Energy-minimizing active contour models or snakes can be used in many applications such as edge detection, motion tracking, image matching, computer vision, and three-dimensional (3-D) reconstruction. We present a novel snake that is superior both in accuracy and convergence speed over previous snake algorithms.
Mao Wang +3 more
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Geometric models for active contours
Proceedings., International Conference on Image Processing, 2002A geometric formulation of active contours for 2D, 3D boundary detection and motion tracking is presented. The technique is based on active contours evolving in time according to intrinsic geometric measures of the image. The evolving contours naturally split and merge, allowing the simultaneous detection of several objects and both interior and ...
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A Charged Geometric Model for Active Contours
18th International Conference on Pattern Recognition (ICPR'06), 2006This paper presents a new deformable model based on charged particle dynamics and geometric contour propagation. It detects object boundaries with a charged active contour that propagates under the influence of Lorentz forces in an image-based electrostatic field.
Yang, R, Mirmehdi, M
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2009 IEEE International Conference on Systems, Man and Cybernetics, 2009
A novel, physical-based force, called as Lorentz force inspired by classical electrodynamics is introduced for the active contour models, and the truncation computing method of Lorentz Force is detailed. Several comparative results indicate that the new force field has similar effects with the Gradient Vector Flow (GVF) field, but it has a remarkable ...
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A novel, physical-based force, called as Lorentz force inspired by classical electrodynamics is introduced for the active contour models, and the truncation computing method of Lorentz Force is detailed. Several comparative results indicate that the new force field has similar effects with the Gradient Vector Flow (GVF) field, but it has a remarkable ...
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Affine and projective active contour models
Pattern Recognition, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dipti Prasad Mukherjee, Scott T. Acton
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An adaptive Geodesic Active Contour model
2010 Sixth International Conference on Natural Computation, 2010In order to solve the shortcoming of Geodesic Active Contour model that would possibly sink into the non-ideal local minimum when segmenting the objects having concave boundary, an adaptive Geodesic Active Contour model was presented. The new model could adjust the evolution speed of curve based on the curvature of curve and gradient of image by adding
Bo Zhang 0039 +3 more
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