Paper
18 September 1998 Morphological technique for clutter suppression in ATR
Quoc Henry Pham, Timothy Myers Brosnan, Mark J. T. Smith, Russell M. Mersereau
Author Affiliations +
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Quoc Henry Pham, Timothy Myers Brosnan, Mark J. T. Smith, and Russell M. Mersereau "Morphological technique for clutter suppression in ATR", Proc. SPIE 3371, Automatic Target Recognition VIII, (18 September 1998); https://doi.org/10.1117/12.323854
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image filtering

Automatic target recognition

Binary data

Image processing

Mathematical morphology

Target detection

Feature extraction

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