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Proceedings Paper

Time sequential nonlinear correlations for optical pattern recognition
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Paper Abstract

We define nonlinear correlations based on binary decompositions of gray level objects. Those correlations are expressed by means of a matrix representation. This matrix allows the investigation of some interesting properties, as common linear correlation, binary correlation and morphological correlation among others are described in terms of those nonlinear correlations. Those correlations have been implemented optically using a joint transform correlator and a time sequential technique in the joint power spectrum domain. The discrimination capability is studied for some pattern recognition operations like noisy scenes and rotation invariance.

Paper Details

Date Published: 30 November 2001
PDF: 22 pages
Proc. SPIE 10302, Optoelectronic Information Processing: Optics for Information Systems: A Critical Review, 103020B (30 November 2001); doi: 10.1117/12.449673
Show Author Affiliations
Pascuala Garcia-Martinez, Univ. de Valencia (Spain)
Henri H. Arsenault, COPL Institute, Univ. Laval (Canada)
Carlos Ferreira, Univ. de Valencia (Spain)

Published in SPIE Proceedings Vol. 10302:
Optoelectronic Information Processing: Optics for Information Systems: A Critical Review
Philippe Refregier; Bahram Javidi; Carlos Ferreira; Santiago Vallmitjana, Editor(s)

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