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Proceedings Paper

Fast variational algorithm for clutter removal through pyramidal domain decomposition
Author(s): Lenny I. Rudin; Frederick Nordby; Georges Koepfler; Jean-Michel Morel
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Paper Abstract

Recent work has proven the feasibility and utility of 2-Normal segmentation as an image analysis tool. This technique, and the algorithm on which it is based, have shown dramatic and promising results for a number of image processing problems, such as clutter suppression, texture segmentation, motion analysis and object tracking. These capacities will be useful for clutter suppression, target location and classification, platform motion compensation, target tracking, vehicle guidance, battlefield mapping and target damage assessment. These and all applications of 2-Normal segmentation could easily employ and integrate multi-sensor data and /or multi-scale image preprocessing for analysis in two dimensions, three dimensions, or time sequence.

Paper Details

Date Published: 1 March 1994
PDF: 21 pages
Proc. SPIE 2037, Chaos/Nonlinear Dynamics: Methods and Commercialization, (1 March 1994); doi: 10.1117/12.167536
Show Author Affiliations
Lenny I. Rudin, Cognitech, Inc. (United States)
Frederick Nordby, Cognitech, Inc. (United States)
Georges Koepfler, Cognitech, Inc. and Univ. Paris IX-Dauphine (United States)
Jean-Michel Morel, Univ. Paris IX-Dauphine (France)

Published in SPIE Proceedings Vol. 2037:
Chaos/Nonlinear Dynamics: Methods and Commercialization
Helena S. Wisniewski, Editor(s)

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