Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/51945
Title: Development tool for computer vision systems at pixel level
Authors: Ortega Méndez, J. A. 
Falcón, A. 
Hernández Tejera, Francisco Mario 
Cabrera, J. G. 
UNESCO Clasification: 120304 Inteligencia artificial
Issue Date: 1994
Journal: Cybernetics and Systems 
Abstract: This paper describes a tool to aid the development of computer vision applications for pixel-level diagnosis. A conceptual framework for constructing pixel processors is described. The proposed tool is based on two domains: one deals with numerical images, named features, and the other deals with symbolic images, named classes. A reduced set of image and operator types is defined. Based on it, an object-oriented language is described. The main objects define features and classes and their associated operators, namely procedures, classifiers, and rules. All system control is goal oriented and is designed to provide symbolic images as results when a request is received from a higher level of the image understanding system. Some knowledge engineering concepts, such as certainty control and instances, are also included.
URI: http://hdl.handle.net/10553/51945
ISSN: 0196-9722
DOI: 10.1080/01969729408902329
Source: Cybernetics and Systems [ISSN 0196-9722], v. 25 (2), p. 289-319
Appears in Collections:Artículos
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