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Proceedings Paper

Improving OT-MACH filter performance for target recognition applications with the use of a Rayleigh distribution filter
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Paper Abstract

An improvement to the wavelet-modified Optimal Trade-off Maximum Average Correlation Height (OT-MACH) filter with the use of the Rayleigh distribution filter is proposed. The Rayleigh distribution filter is applied to the OT-MACH filter to provide a sharper low frequency cut-off than the Laplacian of Gaussian based wavelet filter that has been previously reported to enhance OT-MACH filter performance. Filters are trained using a 3D CAD model and tested on the corresponding real target object in high clutter environments acquired from a Forward Looking Infra Red (FLIR) sensor. Comparative evaluation of the performance of the original, wavelet and Rayleigh modified OT-MACH filter is reported for the recognition of the target objects present within the thermal infra-red image data set.

Paper Details

Date Published: 23 April 2012
PDF: 7 pages
Proc. SPIE 8398, Optical Pattern Recognition XXIII, 83980D (23 April 2012); doi: 10.1117/12.918756
Show Author Affiliations
Ahmad Alkandri, Univ. of Sussex (United Kingdom)
Nagachetan Bangalore, Univ. of Sussex (United Kingdom)
Akber Gardezi, Univ. of Sussex (United Kingdom)
Philip Birch, Univ. of Sussex (United Kingdom)
Rupert Young, Univ. of Sussex (United Kingdom)
Chris Chatwin, Univ. of Sussex (United Kingdom)


Published in SPIE Proceedings Vol. 8398:
Optical Pattern Recognition XXIII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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