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Proceedings Paper

Compression techniques for improved algorithm computational performance
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Paper Abstract

Analysis of thermal data requires the processing of large amounts of temporal image data. The processing of the data for quantitative information can be time intensive especially out in the field where large areas are inspected resulting in numerous data sets. By applying a temporal compression technique, improved algorithm peformance can be obtained. In this study, analysis techniques are applied to compressed and non-compressed thermal data. A comparison is made based on computational speed and defect signal to noise.

Paper Details

Date Published: 28 March 2005
PDF: 8 pages
Proc. SPIE 5782, Thermosense XXVII, (28 March 2005); doi: 10.1117/12.609024
Show Author Affiliations
Joseph N. Zalameda, U. S. Army Research Lab. (United States)
NASA Langley Research Ctr. (United States)
Patricia A. Howell, NASA Langley Research Ctr. (United States)
William P. Winfree, NASA Langley Research Ctr. (United States)

Published in SPIE Proceedings Vol. 5782:
Thermosense XXVII
G. Raymond Peacock; Douglas D. Burleigh; Jonathan J. Miles, Editor(s)

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