Normalization of data from holographic correlators

Image analysis – Pattern recognition – Template matching

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382218, 382219, 359 29, 359 32, 359561, 358480, G06K 976, G03H 116

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057546916

ABSTRACT:
A method is provided for normalizing correlation data from a holographic correlator. After a sequence of object image patterns are recorded in an angularly multiplexed hologram, the entire volume hologram contents are read out with a uniform (plane wave) object beam. The plane wave readout produces an array of spots at a correlation plane, with the intensity of each spot representing the strength of the recorded hologram for the corresponding stored image pattern. The spot intensity values are accurately detected and stored as normalization factors. Holographic correlation output array values produced by parallel comparison of an input object pattern with the stored image patterns are then divided by the corresponding normalization factors. The resulting normalized correlation output accurately represents the true degree of correlation between the input object pattern and the stored image patterns by eliminating the uncertainty factor. The method generates accurate correlation values from a volume holographic correlator while maintaining high effective computational rates.

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