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Convergence analysis of active contours

Image and Vision Computing, 2008
Active contours are very useful tools in image segmentation and object tracking in video sequences. The practical implementations are built with an iterative algorithm based on a second order system defined in the spatial domain, where the elasticity and rigidity are the static parameters for its characterization and mass and damping are the dynamic ...
Rafael Verdú Monedero   +2 more
openaire   +1 more source

Implicit Active-Contouring with MRF

2009
In this paper, we present a new image segmentation method based on energy minimization for iteratively evolving an implicit active contour. Methods for active contour evolution is important in many applications ranging from video post-processing to medical imaging, where a single object must be chosen from a multi-object collection containing objects ...
Pierre-Marc Jodoin   +2 more
openaire   +1 more source

From Inpainting to Active Contours

International Journal of Computer Vision, 2005
We introduce a novel type of region based active contour using image inpainting. Usual region based active contours assume that the image is divided into several semantically meaningful regions and attempt to differentiate them through recovering dynamically statistical optimal parameters for each region. In case when perceptually distinct regions have
François Lauze, Mads Nielsen
openaire   +2 more sources

Geometric models for active contours

Proceedings., International Conference on Image Processing, 2002
A 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 ...
openaire   +1 more source

Testing Geodesic Active Contours

2007
Active Contours are a widely used Pattern Recognition technique. Classical Active Contours are curves evolutionate by minimizing an energy function. However, they can detect only one o bject within an image with several objects, and the solution is highly dependent on parameters in its formulation.
Andrés Caro   +4 more
openaire   +1 more source

On active contour models and balloons

CVGIP: Image Understanding, 1991
Summary: 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.
openaire   +1 more source

Vector-valued active contours

Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1996
A framework for object segmentation in vector-valued images is presented in this paper. The first scheme proposed is based on geometric active contours moving towards the objects to be detected in the vector-valued image. Objects boundaries are obtained as geodesics or minimal weighted distance curves in a Riemannian space.
openaire   +1 more source

High speed VLSI architecture for improved region based active contour segmentation technique

The Integration VLSI Journal, 2021
Radhika V Menon   +2 more
exaly  

ORACM: Online region-based active contour model

Expert Systems With Applications, 2013
Muhammed Fatih Talu
exaly  

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