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Proceedings Paper

Statistical mechanics approach to image-differencing-based inspection
Author(s): J. Balaram
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Paper Abstract

Image differencing based inspection allows the comparison of a prior reference image with a subsequent inspection image to detect changes that can be attributed to flaw induced damage between inspection periods. In our application, the inspection system is required to find new flaws to orbiting space structures that might arise as a result of micro-meteorites, space debris, effects of atomic oxygen damage etc. Direct differencing of these `before' and `after' signals for the flaw detection problem is complicated by changes that are not the result of flaws. These benign changes result from the image noise, mis-registration effects induced by non- repeatability in the imaging viewpoint at each inspection period, and variability of ambient illumination resulting from change of solar angle induced by orbital motion. In this paper we discuss the methods by which some of these effects are handled and suggest a modeling framework using statistical mechanics techniques.

Paper Details

Date Published: 29 October 1993
PDF: 6 pages
Proc. SPIE 2032, Neural and Stochastic Methods in Image and Signal Processing II, (29 October 1993); doi: 10.1117/12.162040
Show Author Affiliations
J. Balaram, Jet Propulsion Lab. (United States)

Published in SPIE Proceedings Vol. 2032:
Neural and Stochastic Methods in Image and Signal Processing II
Su-Shing Chen, Editor(s)

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