1 March 1994 Fast variational algorithm for clutter removal through pyramidal domain decomposition
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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.
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Lenny I. Rudin, Lenny I. Rudin, Frederick Nordby, Frederick Nordby, Georges Koepfler, Georges Koepfler, Jean-Michel Morel, Jean-Michel Morel, } "Fast variational algorithm for clutter removal through pyramidal domain decomposition", Proc. SPIE 2037, Chaos/Nonlinear Dynamics: Methods and Commercialization, (1 March 1994); doi: 10.1117/12.167536; https://doi.org/10.1117/12.167536

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