3 October 1996 Quality assurance of texture web materials using cellular neural networks
Author Affiliations +
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Predrag R. Bakic, Predrag R. Bakic, Nenad S. Vujovic, Nenad S. Vujovic, Dragana P. Brzakovic, Dragana P. Brzakovic, "Quality assurance of texture web materials using cellular neural networks", Proc. SPIE 2899, Automated Optical Inspection for Industry, (3 October 1996); doi: 10.1117/12.253005; https://doi.org/10.1117/12.253005
PROCEEDINGS
8 PAGES


SHARE
RELATED CONTENT

Neural network for image segmentation
Proceedings of SPIE (October 12 2000)
Recognizing license plate character based on simplified PCNN
Proceedings of SPIE (November 14 2007)
Continuous-time segmentation networks
Proceedings of SPIE (July 08 1991)
Very-low-noise switching-free CNN-based adder
Proceedings of SPIE (November 01 1999)
Modeling of neural net chips using image algebra
Proceedings of SPIE (October 31 1990)

Back to Top