Morphological multistage algorithm for recognition of targets in FLIR data

Quoc Henry Pham; Mark J. T. Smith

doi:10.1117/12.241145

24 May 1996 Morphological multistage algorithm for recognition of targets in FLIR data

Quoc Henry Pham, Mark J. T. Smith

Proceedings Volume 2756, Automatic Object Recognition VI; (1996) https://doi.org/10.1117/12.241145
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

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.

Citation Download Citation

Quoc Henry Pham and Mark J. T. Smith "Morphological multistage algorithm for recognition of targets in FLIR data", Proc. SPIE 2756, Automatic Object Recognition VI, (24 May 1996); https://doi.org/10.1117/12.241145

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