SVEX: a knowledge-based tool for image segmentation

Abstract

SVEX is a multilevel knowledge-based tool for developing applications in image segmentation. Both numerical and symbolic computations take place at each level, being the transition between these two domains defined by the computational structure itself. SVEX incorporates evidence combination and uncertainty control mechanisms. SVEX is programmed by means of a specific purpose declarative language based on a reduced set of objects. All the knowledge involved in the solution of a given segmentation problem is made explicit due to the declarative nature of the programming language. The results obtained by the application of SVEX in the segmentation of a set of outdoor images set are also shown.