Machine vision for the automated inspection of web materials

Leonard Norton-Wayne; Mark Bradshaw; Christopher Sanby

doi:10.1117/12.164849

17 December 1993 Machine vision for the automated inspection of web materials

Leonard Norton-Wayne, Mark Bradshaw, Christopher Sanby

Proceedings Volume 1989, Computer Vision for Industry; (1993) https://doi.org/10.1117/12.164849
Event: Electronic Imaging Device Engineering, 1993, Munich, Germany

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.

Citation Download Citation

Leonard Norton-Wayne, Mark Bradshaw, and Christopher Sanby "Machine vision for the automated inspection of web materials", Proc. SPIE 1989, Computer Vision for Industry, (17 December 1993); https://doi.org/10.1117/12.164849

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