Illumination-invariant pattern recognition with a binary nonlinear joint transform correlator using spatial frequency dependent threshold function

Bahram Javidi; Joseph L. Horner; Amir H. Fazlollahi; Jian Li

doi:10.1117/12.163563

9 November 1993 Illumination-invariant pattern recognition with a binary nonlinear joint transform correlator using spatial frequency dependent threshold function

Bahram Javidi, Joseph L. Horner, Amir H. Fazlollahi, Jian Li

Author Affiliations +

Proceedings Volume 2026, Photonics for Processors, Neural Networks, and Memories; (1993) https://doi.org/10.1117/12.163563
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

Abstract

The correlation performance of binary joint transform correlators with unknown input light illumination is investigated for different thresholding methods. It is shown that a binary joint transform correlator that uses a spatial frequency dependent threshold function for binarization of the joint power spectrum is illumination invariant. The performance of the binary joint transform correlator with unknown input light illumination using a variety of thresholding methods is investigated.

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Bahram Javidi, Joseph L. Horner, Amir H. Fazlollahi, and Jian Li "Illumination-invariant pattern recognition with a binary nonlinear joint transform correlator using spatial frequency dependent threshold function", Proc. SPIE 2026, Photonics for Processors, Neural Networks, and Memories, (9 November 1993); https://doi.org/10.1117/12.163563

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