Diseño óptimo de parámetros dinámicos de contornos activos en segmentación de imágenes

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 leads to a simple formulation and design, offering an important computational saving in comparison to the original one. The frequency-based formulation also 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.