Abstract
This paper presents a novel implementation of active contour model for fast extraction in image interpretation called fast active contours for sampling (FACS). The described process is based on the use of a sampling window in the phase of minimization of the energy. The method can be combined with most of the other active contour approaches presented, thanks to the independence between the computational minimization process and the classical active contour minimization process. Experimental result is a fast active contour convergence towards desired object boundaries and its show improvements in terms of computational time reduction after only very few iterations, when compared with other similar fast active contour models
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