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Proceedings Paper

Optical-neural classification of random image fields
Author(s): Ernesto Pino; Emily C. Torres
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Paper Abstract

Using a multilayer perceptron as classifier, random field images are recognized. The input vectors of the network are the means and the variances of the random field image power spectra. Four different classes of textures were classified and the results are compared with the classification of that same random field images by mean of synthetic spectral discriminant functions.

Paper Details

Date Published: 14 August 2001
PDF: 4 pages
Proc. SPIE 4419, 4th Iberoamerican Meeting on Optics and 7th Latin American Meeting on Optics, Lasers, and Their Applications, (14 August 2001); doi: 10.1117/12.437125
Show Author Affiliations
Ernesto Pino, Univ. Autonoma de Puebla (Mexico)
Emily C. Torres, Univ. Autonoma de Puebla (Mexico)


Published in SPIE Proceedings Vol. 4419:
4th Iberoamerican Meeting on Optics and 7th Latin American Meeting on Optics, Lasers, and Their Applications

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