Proceso de reconocimiento de objetos, asistido por computador (visión artificial), aplicando gases neuronales y técnicas de minería de datos
Abstract
El presente trabajo desarrolla un modelo de reconocimiento de objetos basado en la forma de los mismos. Para dicho fin se revisan y comparan muchas técnicas de Inteligencia Artificial que son potenciales herramientas para resolver el roblema; demostrando así la efectividad única que posee para dicho fin una de las mejores técnicas para cluster en IA, desarrollada entre otros, en trabajos doctorales de la Universidad de Alicante y Valladolid (España), como lo son los gases neuronales crecientes. Finalmente se enuncian las posibilidades tangibles que esta técnica abre no sólo para reconocer formas, sino también, texturas, colores y movimiento (visión completa).Downloads
Downloads
-
Vistas(Views): 861
- PDF (Español (España)) Descargas(Downloads): 552
Published
How to Cite
Issue
Section
License
Copyright (c) 2017 Scientia et technica
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The undersigned authors declare that the article submitted to the journal Scientia et Technica is an original work and that all its content is free of third-party copyright restrictions or has the corresponding authorizations. Consequently, the authors assume responsibility for any litigation or claim related to intellectual property rights, releasing the Technological University of Pereira and the journal Scientia et Technica from any liability.
If the submitted work is accepted for publication, the authors retain copyright to the article and grant the journal Scientia et Technica the right of first publication, as well as a non-exclusive, perpetual license to reproduce, edit, distribute, display, and publicly communicate the article in any medium or format, including print, electronic, databases, repositories, the Internet, or other scientific dissemination systems. The authors agree that the article will be published in open access and distributed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).
The journal Scientia will respect in all cases the moral rights of the authors, in accordance with the provisions of article 30 of Law 23 of 1982 of the Republic of Colombia, recognizing the authorship of the work, the right to integrity and the right of disclosure, which are inalienable and non-waivable.