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30 November 2001 Time sequential nonlinear correlations for optical pattern recognition
Pascuala Garcia-Martinez, Henri H. Arsenault, Carlos Ferreira
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Proceedings Volume 10302, Optoelectronic Information Processing: Optics for Information Systems: A Critical Review; 103020B (2001) https://doi.org/10.1117/12.449673
Event: Optoelectronic Information Processing: Optics for Information Systems, 2002, Valencia, Spain
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.
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Pascuala Garcia-Martinez, Henri H. Arsenault, and Carlos Ferreira "Time sequential nonlinear correlations for optical pattern recognition", Proc. SPIE 10302, Optoelectronic Information Processing: Optics for Information Systems: A Critical Review, 103020B (30 November 2001); https://doi.org/10.1117/12.449673
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KEYWORDS
Nonlinear dynamics
Optical pattern recognition
Binary data
Joint transforms
Optical correlators
Pattern recognition
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