Optimum design of dynamic parameters of active contours for improving their convergence in image segmentation

Authors:
Rafael Verdú;Juan Morales;Rafael Berenguer;Luis Weruaga
Affiliations:
Department of Information Technologies and Communications, Technical University of Cartagena, Cartagena, Spain;Department of Information Technologies and Communications, Technical University of Cartagena, Cartagena, Spain;Department of Technical Sciences, Catholic University of Murcia, Murcia, Spain;Commission for Scientific Visualization, Austrian Academy of Sciences, Vienna, Austria
Venue:
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Year:
2005

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Abstract

Active contours are useful tools for segmenting images. The classical formulation is given in the spatial domain and is based on a second order system. The formulation based on a frequency-domain analysis offers a new perspective for studying the convergence of the snake. This paper addresses an analysis and optimization for a snake-based segmentation algorithm. The study allows us to choose optimum values of the system dynamic parameters in the design of the active contour for improving its speed of convergence in a segmentation problem.