Optical Implementation Of The Kittler-Young Transform For Image Classification

Xiaoyang Li; Francis T. S. Yu; Don A. Gregory

doi:10.1117/12.962235

5 February 1990 Optical Implementation Of The Kittler-Young Transform For Image Classification

Xiaoyang Li, Francis T. S. Yu, Don A. Gregory

Proceedings Volume 1151, Optical Information Processing Systems and Architectures; (1990) https://doi.org/10.1117/12.962235
Event: 33rd Annual Technical Symposium, 1989, San Diego, United States

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.

Citation Download Citation

Xiaoyang Li, Francis T. S. Yu, and Don A. Gregory "Optical Implementation Of The Kittler-Young Transform For Image Classification", Proc. SPIE 1151, Optical Information Processing Systems and Architectures, (5 February 1990); https://doi.org/10.1117/12.962235

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