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Proceedings Paper

Optical Implementation Of The Kittler-Young Transform For Image Classification
Author(s): Xiaoyang Li; Francis T. S. Yu; Don A. Gregory
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Paper Abstract

The Kittler-Young (K-Y) transform is a nonparametric method for feature extraction. The important property of the K-Y transform is that the information of class variances and mean squares are utilized optimally in feature selection. A joint transform correlator (JTC) is used to extract the features of the K-Y transform from input images optically. Making use of these features, classifications are performed on a microcomputer.

Paper Details

Date Published: 5 February 1990
PDF: 13 pages
Proc. SPIE 1151, Optical Information Processing Systems and Architectures, (5 February 1990); doi: 10.1117/12.962235
Show Author Affiliations
Xiaoyang Li, The Pennsylvania State University (United States)
Francis T. S. Yu, The Pennsylvania State University (United States)
Don A. Gregory, U.S.Army Missile Command (United States)

Published in SPIE Proceedings Vol. 1151:
Optical Information Processing Systems and Architectures
Bahram Javidi, Editor(s)

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