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Proceedings Paper

Invariance properties of spatial filters designed for zero mean inputs
Author(s): Robert R. Kallman
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Paper Abstract

Zero and fifteen phase-state filters designed for training sets of zero mean imagery are discussed. These filters are demonstrated to be highly invariant with respect to targets which are simultaneously translated with respect to a background, to changes in the background, and to additive zero mean noise.

Paper Details

Date Published: 29 September 1994
PDF: 12 pages
Proc. SPIE 2297, Photonics for Processors, Neural Networks, and Memories II, (29 September 1994); doi: 10.1117/12.187314
Show Author Affiliations
Robert R. Kallman, Univ. of North Texas (United States)

Published in SPIE Proceedings Vol. 2297:
Photonics for Processors, Neural Networks, and Memories II
Joseph L. Horner; Bahram Javidi; Stephen T. Kowel, Editor(s)

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