Detection of targets in low-resolution FLIR images using two-dimensional directional wavelets

Romain Murenzi; Davida Johnson; Lance M. Kaplan; Kameswara Rao Namuduri

doi:10.1117/12.323869

18 September 1998 Detection of targets in low-resolution FLIR images using two-dimensional directional wavelets

Romain Murenzi, Davida Johnson, Lance M. Kaplan, Kameswara Rao Namuduri

Proceedings Volume 3371, Automatic Target Recognition VIII; (1998) https://doi.org/10.1117/12.323869
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

This paper investigates the use of Continuous Wavelet Transform (CWT) features for detection of targets in low resolution FLIR imagery. We specifically use the CWT features corresponding to the integration of target features at all relevant scales and orientations. These features are combined with non-linear transformations (thresholding, enhancement, morphological operations). We compare our previous results using the Mexican hat wavelet with those obtained using the two types of directional wavelets: the Morlet wavelet and the Cauchy wavelets. The algorithm was tested on the TRIM2 data base.

Citation Download Citation

Romain Murenzi, Davida Johnson, Lance M. Kaplan, and Kameswara Rao Namuduri "Detection of targets in low-resolution FLIR images using two-dimensional directional wavelets", Proc. SPIE 3371, Automatic Target Recognition VIII, (18 September 1998); https://doi.org/10.1117/12.323869

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