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Proceedings Paper

Gray-level noise filtering with vector openings
Author(s): Stephen S. Wilson
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Paper Abstract

Clutter in an image is non local noise, and is difficult to classify and train statistically. It may not be possible to distinguish clutter from a pattern of interest using low level processing in a small neighborhood. This paper presents a method for filtering out clutter from an image by developing a local model of the pattern of interest and not the noise. A filter is constructed that is guaranteed to pass that pattern. Noise will not be passed if it is sufficiently different than that pattern. The filter to be developed in this paper is called a vector opening.

Paper Details

Date Published: 23 June 1993
PDF: 10 pages
Proc. SPIE 2030, Image Algebra and Morphological Image Processing IV, (23 June 1993); doi: 10.1117/12.146679
Show Author Affiliations
Stephen S. Wilson, Applied Intelligent Systems, Inc. (United States)


Published in SPIE Proceedings Vol. 2030:
Image Algebra and Morphological Image Processing IV
Edward R. Dougherty; Paul D. Gader; Jean C. Serra, Editor(s)

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