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Proceedings Paper

Quality assurance of texture web materials using cellular neural networks
Author(s): Predrag R. Bakic; Nenad S. Vujovic; Dragana P. Brzakovic
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Paper Abstract

The paper present a parallel implementation of an image processing algorithm for the on-line, non-destructive quality assurance of the non-woven, fibrous web materials. The task of the algorithm is to compute the material microstructure descriptors. The premise underlying this work is that the microstructure determines the performance of the material and characterization of the microstructure may be used to predict material performance. The algorithm for estimating material performance is derived for the use on the cellular neural network universal machine, fast parallel analog architecture which lends itself to real-time processing.

Paper Details

Date Published: 3 October 1996
PDF: 8 pages
Proc. SPIE 2899, Automated Optical Inspection for Industry, (3 October 1996); doi: 10.1117/12.253005
Show Author Affiliations
Predrag R. Bakic, Lehigh Univ. (United States)
Nenad S. Vujovic, Lehigh Univ. (United States)
Dragana P. Brzakovic, Lehigh Univ. (United States)

Published in SPIE Proceedings Vol. 2899:
Automated Optical Inspection for Industry
Frederick Y. Wu; Shenghua Ye, Editor(s)

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