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Optical Engineering

Optical Implementation Of The Hotelling Trace Criterion For Image Classification
Author(s): Zu-Han Gu; Sing H. Lee
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Paper Abstract

The Hotelling trace criterion (HTC) is useful for feature extraction so that multiclasses of statistical images can be separated by maximizing the between-class differences while minimizing the within-class variations. Optical implementation of the HTC has been successful by utilizing computer-generated spatial filters and a coded-phase processor. A simplified method of calculating the HTC discriminant functions from large-dimensional images by a small computer is also described. This method is useful when the within-class variation can be approximated by a covariance matrix of low rank.

Paper Details

Date Published: 1 December 1984
PDF: 5 pages
Opt. Eng. 23(6) 236727 doi: 10.1117/12.7973371
Published in: Optical Engineering Volume 23, Issue 6
Show Author Affiliations
Zu-Han Gu, University of California at San Diego (United States)
Sing H. Lee, University of California at San Diego (United States)


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