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Proceedings Paper

Machine vision for the automated inspection of web materials
Author(s): Leonard Norton-Wayne; Mark Bradshaw; Christopher Sanby
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Paper Abstract

This paper discusses signal processing for the detection of defects in automated inspection using machine vision. A generalized methodology is presented applicable to a wide range of tasks. A method is presented for design of a system to achieve quantitative performance requirements in terms of probability of defect detection versus probability of false alarms. Some modifications which can improve performance of the basic scheme are described. Applications of the method are mentioned briefly.

Paper Details

Date Published: 17 December 1993
PDF: 12 pages
Proc. SPIE 1989, Computer Vision for Industry, (17 December 1993); doi: 10.1117/12.164849
Show Author Affiliations
Leonard Norton-Wayne, De Montfort Univ. (United Kingdom)
Mark Bradshaw, De Montfort Univ. (United Kingdom)
Christopher Sanby, De Montfort Univ. (United Kingdom)


Published in SPIE Proceedings Vol. 1989:
Computer Vision for Industry
Donald W. Braggins, Editor(s)

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