Automatic parameter adjustment of difference of Gaussian (DoG) filter to improve OT-MACH filter performance for target recognition applications

Ahmad Alkandri; Akber Gardezi; Nagachetan Bangalore; Philip Birch; Rupert Young; Chris Chatwin

doi:10.1117/12.897309

28 September 2011 Automatic parameter adjustment of difference of Gaussian (DoG) filter to improve OT-MACH filter performance for target recognition applications

Ahmad Alkandri, Akber Gardezi, Nagachetan Bangalore, Philip Birch, Rupert Young, Chris Chatwin

Author Affiliations +

Proceedings Volume 8185, Electro-Optical and Infrared Systems: Technology and Applications VIII; 81850M (2011) https://doi.org/10.1117/12.897309
Event: SPIE Security + Defence, 2011, Prague, Czech Republic

Abstract

A wavelet-modified frequency domain Optimal Trade-off Maximum Average Correlation Height (OT-MACH) filter has been trained using 3D CAD models and tested on real target images acquired from a Forward Looking Infra Red (FLIR) sensor. The OT-MACH filter can be used to detect and discriminate predefined targets from a cluttered background. The FLIR sensor extends the filter's ability by increasing the range of detection by exploiting the heat signature differences between the target and the background. A Difference of Gaussians (DoG) based wavelet filter has been use to improve the OT-MACH filter discrimination ability and distortion tolerance. Choosing the right standard deviation values of the two Gaussians comprising the filter is critical. In this paper we present a new technique for auto adjustment of the DoG filter parameters driven by the expected target size. Tests were carried on images acquired by the Apache AH-64 helicopter mounted FLIR sensor, results showing an overall improvement in the recognition of target objects present within the IR images.

Citation Download Citation

Ahmad Alkandri, Akber Gardezi, Nagachetan Bangalore, Philip Birch, Rupert Young, and Chris Chatwin "Automatic parameter adjustment of difference of Gaussian (DoG) filter to improve OT-MACH filter performance for target recognition applications", Proc. SPIE 8185, Electro-Optical and Infrared Systems: Technology and Applications VIII, 81850M (28 September 2011); https://doi.org/10.1117/12.897309

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