|Title:||Development tool for computer vision systems at pixel level||Authors:||Ortega Méndez, J. 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|
checked on Aug 2, 2020
checked on Aug 1, 2020
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.