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Implementation of the Maximum Average Correlation Height (MACH) filter in the spatial domain for object recognition from clutter backgrounds

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posted on 2023-06-07, 23:31 authored by Akber Gardezi, Phil BirchPhil Birch, Ioannis Kypraios, Rupert YoungRupert Young, Chris ChatwinChris Chatwin
A moving space domain window is used to implement a Maximum Average Correlation Height (MACH) filter which can be locally modified depending upon its position in the input frame. This enables adaptation of the filter dependant on locally variant background clutter conditions and also enables the normalization of the filter energy levels at each step. Thus the spatial domain implementation of the MACH filter offers an advantage over its frequency domain implementation as shift invariance is not imposed upon it. The only drawback of the spatial domain implementation of the MACH filter is the amount of computational resource required for a fast implementation. Recently an optical correlator using a scanning holographic memory has been proposed by Birch et al [1] for the real-time implementation of space variant filters of this type. In this paper we describe the discrimination abilities against background clutter and tolerance to in-plane rotation, out of plane rotation and changes in scale of a MACH correlation filter implemented in the spatial domain. © 2010 SPIE.

History

Publication status

  • Published

ISSN

0277-786X

Publisher

SPIE

Volume

7696

Presentation Type

  • paper

Event name

Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI; Orlando, FL; 5 April 2010 through 8 April 2010

Event location

Orlando, FL, USA

Event type

conference

ISBN

978-081948160-3

Department affiliated with

  • Engineering and Design Publications

Notes

Proceedings of SPIE - The International Society for Optical Engineering

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

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