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Proceedings Paper

Morphological multistage algorithm for recognition of targets in FLIR data
Author(s): Quoc Henry Pham; Mark J. T. Smith
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Paper Abstract

This paper introduces a new algorithm for target recognition in FLIR sensor image data. Recognition of this type is difficult because FLIR targets often have dramatically different temperature profiles; they may have very low contrast; and their local statistics can often be very similar to those of the background. The approach presented in this paper is based on a cascade of stages involving successive applications of morphological processing, enhancement, and extraction operations. The operators and order of their application for the detection was developed to accentuate and localize the general features of FLIR image targets. Experimental evaluations indicate that the algorithm performs well, even for targets with mixed temperature distributions and those with low contrast.

Paper Details

Date Published: 24 May 1996
PDF: 12 pages
Proc. SPIE 2756, Automatic Object Recognition VI, (24 May 1996); doi: 10.1117/12.241145
Show Author Affiliations
Quoc Henry Pham, Georgia Institute of Technology (United States)
Mark J. T. Smith, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 2756:
Automatic Object Recognition VI
Firooz A. Sadjadi, Editor(s)

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