Paper
22 March 1999 Nuclear fuel assembly assessment project and image categorization
Clark S. Lindsey, Thomas Lindblad, Karina E. Waldemark, Lars Hildingsson
Author Affiliations +
Proceedings Volume 3728, Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks; (1999) https://doi.org/10.1117/12.343066
Event: Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks: Neural Networks Fuzzy Systems, Evolutionary Systems and Virtual Re, 1998, Stockholm, Sweden
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Clark S. Lindsey, Thomas Lindblad, Karina E. Waldemark, and Lars Hildingsson "Nuclear fuel assembly assessment project and image categorization", Proc. SPIE 3728, Ninth Workshop on Virtual Intelligence/Dynamic Neural Networks, (22 March 1999); https://doi.org/10.1117/12.343066
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Cited by 2 scholarly publications.
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KEYWORDS
Binary data

Inspection

Image analysis

Image filtering

Image processing

Digital image processing

Image enhancement

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