Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46788
Title: SVEX: a knowledge-based tool for image segmentation
Authors: Hernández-Sosa, D. 
Cabrera-Gamez, J. 
Falcón-Martel, Antonio 
Hernandez-Tejera, M. 
UNESCO Clasification: 120304 Inteligencia artificial
Issue Date: 1995
Conference: 1995 International Conference on Acoustics, Speech, and Signal Processing 
Proceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5) 
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.
URI: http://hdl.handle.net/10553/46788
ISBN: 0-7803-2431-5
ISSN: 1520-6149
DOI: 10.1109/ICASSP.1995.480070
Source: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings [ISSN 0736-7791],v. 4, p. 2555-2558
Appears in Collections:Actas de congresos
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