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Proceedings Paper

Construction of a general spatial filter as a constrained optimization question
Author(s): Robert R. Kallman
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Paper Abstract

A method for designing a general spatial filter as a constrained optimization question is given. This method makes full use of all the free parameters in the design problem. In most instances this method seems to give results which are far superior to those obtained by the synthetic discriminant function technique and its descendants and variants. This is especially true for instances in which there are many true and false targets. The difference between the two techniques may be approximately described as the difference between actually optimizing a rather complicated function and optimizing a linear approximation to the function.

Paper Details

Date Published: 25 October 1993
PDF: 15 pages
Proc. SPIE 1959, Optical Pattern Recognition IV, (25 October 1993); doi: 10.1117/12.160280
Show Author Affiliations
Robert R. Kallman, Univ. of North Texas (United States)


Published in SPIE Proceedings Vol. 1959:
Optical Pattern Recognition IV
David P. Casasent, Editor(s)

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