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Proceedings Paper

Design and analysis of x-ray vision systems for high-speed detection of foreign body contamination in food
Author(s): Mark Graves; Alexander Smith; Bruce G. Batchelor; Stephen C. Palmer
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Paper Abstract

In the food industry there is an ever increasing need to control and monitor food quality. In recent years fully automated x-ray inspection systems have been used to detect food on-line for foreign body contamination. These systems involve a complex integration of x- ray imaging components with state of the art high speed image processing. The quality of the x-ray image obtained by such systems is very poor compared with images obtained from other inspection processes, this makes reliable detection of very small, low contrast defects extremely difficult. It is therefore extremely important to optimize the x-ray imaging components to give the very best image possible. In this paper we present a method of analyzing the x-ray imaging system in order to consider the contrast obtained when viewing small defects.

Paper Details

Date Published: 3 October 1994
PDF: 13 pages
Proc. SPIE 2347, Machine Vision Applications, Architectures, and Systems Integration III, (3 October 1994); doi: 10.1117/12.188762
Show Author Affiliations
Mark Graves, Transfer Technology Ltd. (United Kingdom)
Alexander Smith, Transfer Technology Ltd. (United Kingdom)
Bruce G. Batchelor, Univ. of Wales College Cardiff (United Kingdom)
Stephen C. Palmer, Univ. of Wales College Cardiff (United Kingdom)


Published in SPIE Proceedings Vol. 2347:
Machine Vision Applications, Architectures, and Systems Integration III
Bruce G. Batchelor; Susan Snell Solomon; Frederick M. Waltz, Editor(s)

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