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Quality assurance of texture web materials using cellular neural networks

Bakic, Predrag R. LU ; Vujovic, Nenad S. and Brzakovic, Dragana P. (1996) Automated Optical Inspection for Industry In Proceedings of SPIE - The International Society for Optical Engineering 2899. p.473-480
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.

Please use this url to cite or link to this publication:
author
; and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Proceedings of SPIE - The International Society for Optical Engineering
series title
Proceedings of SPIE - The International Society for Optical Engineering
editor
Wu, Frederick Y. and Ye, Shenghua
volume
2899
pages
8 pages
conference name
Automated Optical Inspection for Industry
conference location
Beijing, China
conference dates
1996-11-06 - 1996-11-07
external identifiers
  • scopus:0030385174
ISSN
0277-786X
ISBN
0819423009
9780819423009
language
English
LU publication?
no
id
e25d1f8a-3fc3-4d6f-a802-02e972fbb405
date added to LUP
2020-11-07 13:29:18
date last changed
2025-04-04 14:22:05
@inproceedings{e25d1f8a-3fc3-4d6f-a802-02e972fbb405,
  abstract     = {{<p>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.</p>}},
  author       = {{Bakic, Predrag R. and Vujovic, Nenad S. and Brzakovic, Dragana P.}},
  booktitle    = {{Proceedings of SPIE - The International Society for Optical Engineering}},
  editor       = {{Wu, Frederick Y. and Ye, Shenghua}},
  isbn         = {{0819423009}},
  issn         = {{0277-786X}},
  language     = {{eng}},
  pages        = {{473--480}},
  series       = {{Proceedings of SPIE - The International Society for Optical Engineering}},
  title        = {{Quality assurance of texture web materials using cellular neural networks}},
  volume       = {{2899}},
  year         = {{1996}},
}