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Proceedings Paper

Using smart sensing to simplify the problem of classifying defects: case study
Author(s): Dragana P. Brzakovic; Nenad S. Vujovic
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Paper Abstract

This paper describes a general methodology for designing and testing a defect classification system for uniform web materials and a very difficult case study is used to illustrate the specific algorithms. We show that the proper selection of the sensing strategy can greatly simplify the inspection problem an increase the efficacy of the inspection system. This is shown by comparing performances of two configurations of the inspection system, one incorporating a smart sensor and the other a conventional sensor.

Paper Details

Date Published: 3 October 1994
PDF: 11 pages
Proc. SPIE 2347, Machine Vision Applications, Architectures, and Systems Integration III, (3 October 1994); doi: 10.1117/12.188735
Show Author Affiliations
Dragana P. Brzakovic, Lehigh Univ. (United States)
Nenad S. Vujovic, Lehigh Univ. (United States)

Published in SPIE Proceedings Vol. 2347:
Machine Vision Applications, Architectures, and Systems Integration III
Bruce G. Batchelor; Susan Snell Solomon; Frederick M. Waltz, Editor(s)

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