Quality assurance of texture web materials using cellular neural networks

Predrag R. Bakic; Nenad S. Vujovic; Dragana P. Brzakovic

Quality assurance of texture web materials using cellular neural networks

Predrag R. Bakic, Nenad S. Vujovic, Dragana P. Brzakovic

Lehigh University

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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.

Original language	English
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Editors	Frederick Y. Wu, Shenghua Ye
Pages	473-480
Number of pages	8
Publication status	Published - 1996
Externally published	Yes
Event	Automated Optical Inspection for Industry - Beijing, China Duration: 1996 Nov 6 → 1996 Nov 7

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	2899
ISSN (Print)	0277-786X

Conference

Conference	Automated Optical Inspection for Industry
City	Beijing, China
Period	1996/11/06 → 1996/11/07

Subject classification (UKÄ)

Medical Engineering

Cite this

@inproceedings{e25d1f8a3fc34d6fa80202e972fbb405,

title = "Quality assurance of texture web materials using cellular neural networks",

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.",

author = "Bakic, {Predrag R.} and Vujovic, {Nenad S.} and Brzakovic, {Dragana P.}",

year = "1996",

language = "English",

isbn = "0819423009",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

pages = "473--480",

editor = "Wu, {Frederick Y.} and Shenghua Ye",

booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

note = "Automated Optical Inspection for Industry ; Conference date: 06-11-1996 Through 07-11-1996",

}

Bakic, PR, Vujovic, NS & Brzakovic, DP 1996, Quality assurance of texture web materials using cellular neural networks. in FY Wu & S Ye (eds), Proceedings of SPIE - The International Society for Optical Engineering. Proceedings of SPIE - The International Society for Optical Engineering, vol. 2899, pp. 473-480, Automated Optical Inspection for Industry, Beijing, China, 1996/11/06.

Quality assurance of texture web materials using cellular neural networks. / Bakic, Predrag R.; Vujovic, Nenad S.; Brzakovic, Dragana P.
Proceedings of SPIE - The International Society for Optical Engineering. ed. / Frederick Y. Wu; Shenghua Ye. 1996. p. 473-480 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 2899).

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Quality assurance of texture web materials using cellular neural networks

AU - Bakic, Predrag R.

AU - Vujovic, Nenad S.

AU - Brzakovic, Dragana P.

PY - 1996

Y1 - 1996

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0030385174&partnerID=8YFLogxK

M3 - Paper in conference proceeding

AN - SCOPUS:0030385174

SN - 0819423009

SN - 9780819423009

T3 - Proceedings of SPIE - The International Society for Optical Engineering

SP - 473

EP - 480

BT - Proceedings of SPIE - The International Society for Optical Engineering

A2 - Wu, Frederick Y.

A2 - Ye, Shenghua

T2 - Automated Optical Inspection for Industry

Y2 - 6 November 1996 through 7 November 1996

ER -

Quality assurance of texture web materials using cellular neural networks

Abstract

Publication series

Conference

Subject classification (UKÄ)

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