Neural networks for the optical recognition of defects in cloth

Lois M. Hoffer; Franco Francini; Bruno Tiribilli; Giuseppe Longobardi

doi:10.1117/1.601057

1 November 1996 Neural networks for the optical recognition of defects in cloth

Lois M. Hoffer, Franco Francini, Bruno Tiribilli, Giuseppe Longobardi

Optical Engineering, Vol. 35, Issue 11, (November 1996). https://doi.org/10.1117/1.601057

A fast system to reveal the presence and type of fabric defects during the weaving process is developed. Since the fabric is similar to a 2-D grid, its defects are clearly observed in the changes in its optical Fourier transform (OFT), which appears stationary while the fabric is moving across the loom. Previous work, based on the statistical parameters of the OFT, showed that the presence of faults can be detected when only global changes in the images are considered. We show that by selecting a small subset of pixels from the image as input to a neural network, fabric defects can not only be detected but also successfully identified. A knowledge-based system could conceivably be constructed to use this information to resolve problems with the loom in real time, without the need for operator intervention.

Citation Download Citation

Lois M. Hoffer, Franco Francini, Bruno Tiribilli, and Giuseppe Longobardi "Neural networks for the optical recognition of defects in cloth," Optical Engineering 35(11), (1 November 1996). https://doi.org/10.1117/1.601057

Published: 1 November 1996

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available