Computer Science
Scientific paper
Oct 1993
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1993spie.2032..203b&link_type=abstract
Proc. SPIE Vol. 2032, p. 203-208, Neural and Stochastic Methods in Image and Signal Processing II, Su-Shing Chen; Ed.
Computer Science
Scientific paper
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.
No associations
LandOfFree
Statistical mechanics approach to image-differencing-based inspection does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Statistical mechanics approach to image-differencing-based inspection, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Statistical mechanics approach to image-differencing-based inspection will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1573231