17 December 1993 Machine vision for the automated inspection of web materials
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Proceedings Volume 1989, Computer Vision for Industry; (1993); doi: 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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Leonard Norton-Wayne, Mark Bradshaw, Christopher Sanby, "Machine vision for the automated inspection of web materials", Proc. SPIE 1989, Computer Vision for Industry, (17 December 1993); doi: 10.1117/12.164849; https://doi.org/10.1117/12.164849
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KEYWORDS
Defect detection

Inspection

Machine vision

Interference (communication)

Electronic filtering

Computer vision technology

Sensors

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