Optical classification of random image fields using spectral synthetic discriminant functions

Andrey S. Ostrovsky; Ernesto Pino Mota; Jesus I. Palma Cuatianquiz

doi:10.1117/12.405841

2 November 2000 Optical classification of random image fields using spectral synthetic discriminant functions

Andrey S. Ostrovsky, Ernesto Pino Mota, Jesus I. Palma Cuatianquiz

Proceedings Volume 4113, Algorithms and Systems for Optical Information Processing IV; (2000) https://doi.org/10.1117/12.405841
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

It is shown that the problem of classification of images that have the perfectly random nature may be solved with the help of synthetic discriminant functions being synthesized by least-squares technique to separate linearly the power spectra of the corresponding random image fields. The realization of the proposed method by means of an optical technique is discussed, and its efficiency is illustrated by two examples of real-life texture classification.

Citation Download Citation

Andrey S. Ostrovsky, Ernesto Pino Mota, and Jesus I. Palma Cuatianquiz "Optical classification of random image fields using spectral synthetic discriminant functions", Proc. SPIE 4113, Algorithms and Systems for Optical Information Processing IV, (2 November 2000); https://doi.org/10.1117/12.405841

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