Automated feature selection methodology for reconfigurable automated visual inspection systems

Hugo C. Garcia; J. Rene Villalobos

doi:10.1109/COASE.2007.4341784

Automated feature selection methodology for reconfigurable automated visual inspection systems

Hugo C. Garcia, J. Rene Villalobos

Engineering, Ira A. Fulton Schools of (IAFSE)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

The lack of flexibility of the current Automated Visual Inspection (AVI) systems to accommodate new products is one of the main problems faced by the users of these systems. In this paper, the authors propose a framework that will facilitate the design of highly reconfigurable AVI systems. We focus on two issues: the general description of a framework for the development of reconfigurable systems and the description of a method for feature selection that will make the automation of this process easier.

Original language	English (US)
Title of host publication	Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007
Pages	542-547
Number of pages	6
DOIs	https://doi.org/10.1109/COASE.2007.4341784
State	Published - Dec 1 2007
Event	3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007 - Scottsdale, AZ, United States Duration: Sep 22 2007 → Sep 25 2007

Publication series

Name	Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007

Other

Other	3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007
Country/Territory	United States
City	Scottsdale, AZ
Period	9/22/07 → 9/25/07

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

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10.1109/COASE.2007.4341784

Cite this

Garcia, H. C., & Villalobos, J. R. (2007). Automated feature selection methodology for reconfigurable automated visual inspection systems. In Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007 (pp. 542-547). Article 4341784 (Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007). https://doi.org/10.1109/COASE.2007.4341784

Automated feature selection methodology for reconfigurable automated visual inspection systems. / Garcia, Hugo C.; Villalobos, J. Rene.
Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007. 2007. p. 542-547 4341784 (Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Garcia, HC & Villalobos, JR 2007, Automated feature selection methodology for reconfigurable automated visual inspection systems. in Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007., 4341784, Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007, pp. 542-547, 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007, Scottsdale, AZ, United States, 9/22/07. https://doi.org/10.1109/COASE.2007.4341784

Garcia HC, Villalobos JR. Automated feature selection methodology for reconfigurable automated visual inspection systems. In Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007. 2007. p. 542-547. 4341784. (Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007). doi: 10.1109/COASE.2007.4341784

Garcia, Hugo C. ; Villalobos, J. Rene. / Automated feature selection methodology for reconfigurable automated visual inspection systems. Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007. 2007. pp. 542-547 (Proceedings of the 3rd IEEE International Conference on Automation Science and Engineering, IEEE CASE 2007).

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Automated feature selection methodology for reconfigurable automated visual inspection systems

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