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Proceedings Paper

Background clutter in the SW infrared spectral band: measurement and analysis
Author(s): Alex Shteinman; Yossi Bushlin
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Paper Abstract

The ability to detect targets, either by human observer or by machine vision algorithms, is strongly affected by the clutter properties of the background. Therefore, the quantitative characterization of the clutter is a must in any target acquisition scenario. This paper will propose a new metric for clutter quantification based on blob analysis algorithm. The algorithm consists of comparison of various calculated properties of the blobs, found in the image, to the properties of the blob representing a target. The algorithm was tested on an experimental database of IR images measured during an air-born field test by a commercially available Focal Plane Array IR camera.

Paper Details

Date Published: 7 July 1998
PDF: 9 pages
Proc. SPIE 3375, Targets and Backgrounds: Characterization and Representation IV, (7 July 1998); doi: 10.1117/12.327174
Show Author Affiliations
Alex Shteinman, Technion R&D Foundation (Israel)
Yossi Bushlin, Technion R&D Foundation (Israel)

Published in SPIE Proceedings Vol. 3375:
Targets and Backgrounds: Characterization and Representation IV
Wendell R. Watkins; Dieter Clement, Editor(s)

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