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Proceedings Paper

Nuclear fuel assembly assessment project and image categorization
Author(s): Clark S. Lindsey; Thomas Lindblad; Karina E. Waldemark; Lars Hildingsson
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Paper Abstract

A project has been underway to add digital imaging and processing to the inspection of nuclear fuel by the International Atomic Energy Agency. The ultimate goals are to provide the inspector not only with the advantages of CCD imaging, such as high sensitivity and digital image enhancements, but also with an intelligent agent that can analyze the images and provide useful information about the fuel assemblies in real time. The project is still in the early stages and several interesting sub-projects have been inspired. Here we give first a review of the work on the fuel assembly image analysis and then give a brief status report on one of these sub-projects that concerns automatic categorization of fuel assembly images. The technique could be of benefit to the general challenge of image categorization.

Paper Details

Date Published: 22 March 1999
PDF: 9 pages
Proc. SPIE 3728, Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks, (22 March 1999); doi: 10.1117/12.343066
Show Author Affiliations
Clark S. Lindsey, Royal Institute of Technology (Sweden)
Thomas Lindblad, Royal Institute of Technology (Sweden)
Karina E. Waldemark, Royal Institute of Technology (Sweden)
Lars Hildingsson, Swedish Nuclear Power Inspectorate (Sweden)


Published in SPIE Proceedings Vol. 3728:
Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks
Thomas Lindblad; Mary Lou Padgett; Jason M. Kinser, Editor(s)

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