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Real-Time Imaging
Volume 1, Issue 2, June 1995, Pages 139-158
 
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doi:10.1006/rtim.1995.1014    
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Copyright © 1995 Academic Press. All rights reserved.

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Real-time Industrial Visual Inspection: A Review

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A. D. H. Thomas, M. G. Rodd, J. D. Holt and C. J. Neill

Real-Time AI Group, Department of Electrical and Electronic Engineering, University of Wales, Swansea SA28PP, UK


Available online 2 May 2002.

Abstract

This paper provides a review of state-of-the-art techniques and technologies associated with real-time automated visual inspection as applied in industrial situations. A survey of the most widely used machine vision algorithms is presented, with emphasis on those algorithms most suited to real-time application. Practical illumination schemes for real-time industrial inspection are also considered. The paper then focusses on areas which have received scant attention from the research community but which look set to become increasingly important in the next few years, namely system robustness and verification, including temporal verification.


Real-Time Imaging
Volume 1, Issue 2, June 1995, Pages 139-158
 
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