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Proceedings Paper

Morphological technique for clutter suppression in ATR
Author(s): Quoc Henry Pham; Timothy Myers Brosnan; Mark J. T. Smith; Russell M. Mersereau
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Paper Abstract

This paper presents a morphological filtering technique that can be used for clutter suppression or target feature extraction. By using a special ring-shaped structuring element, the proposed morphological filter can either preserve or eliminate objects in sensor imagery based on size and shape characteristics. The ring-shaped structuring element makes the filter invariant to target rotation. Thus, detection performance is substantially improved for cases where the target width information is either inaccurate or insufficient for successful differentiation between targets and image clutter.

Paper Details

Date Published: 18 September 1998
PDF: 8 pages
Proc. SPIE 3371, Automatic Target Recognition VIII, (18 September 1998); doi: 10.1117/12.323854
Show Author Affiliations
Quoc Henry Pham, Georgia Institute of Technology (United States)
Timothy Myers Brosnan, Georgia Institute of Technology (United States)
Mark J. T. Smith, Georgia Institute of Technology (United States)
Russell M. Mersereau, Georgia Institute of Technology (United States)

Published in SPIE Proceedings Vol. 3371:
Automatic Target Recognition VIII
Firooz A. Sadjadi, Editor(s)

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