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Title: A systematic method for exploring contour segment descriptions
Authors: Cabrera, J. 
Falcón, A. 
Ortega-Méndez, J. A. 
Hernández Tejera, Francisco Mario 
UNESCO Clasification: 120304 Inteligencia artificial
Issue Date: 1992
Journal: Cybernetics and Systems 
Abstract: A new methodology has been developed for the comparative analysis of different contour characterization methods in the context of a structural approach for an artificial vision system. This methodology has been designed for testing the description of contour segments using characterization methods that have been used in applications dealing with isolated forms. The proposed schema is modular and comprises three major steps: a segmentation stage, which is based on a rule-based segmentation machine; a labeling stage, which is dependent on the characterization method used to describe the contour segments and in which the problem of defining classes or typologies of segments is also considered; and a learning and recognition stage, which uses fast tree classifiers and combines their evidence by means of the Dempster-Shafer combination rule. Experimental results are presented using the Fourier-Bessel transform as the contour characterization method.
ISSN: 0196-9722
DOI: 10.1080/01969729208927460
Source: Cybernetics and Systems [ISSN 0196-9722], v. 23 (3-4), p. 241-270
Appears in Collections:Artículos
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