Performance analysis of optical nonlinear morphological correlation under unknown illumination conditions

ShuQun Zhang; Mohammad A. Karim

doi:10.1117/12.363956

1 October 1999 Performance analysis of optical nonlinear morphological correlation under unknown illumination conditions

ShuQun Zhang, Mohammad A. Karim

Author Affiliations +

Proceedings Volume 3804, Algorithms, Devices, and Systems for Optical Information Processing III; (1999) https://doi.org/10.1117/12.363956
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

We investigate the performance of morphological correlation under different illumination conditions. The morphological correlation is shown to be invariant to uniform input-image illumination when the input-image illumination is higher than that of the reference. Accordingly, illumination- independent pattern recognition can be realized using morphological correlation provided the reference is multiplied by a proper number less than unity or the input image is multiplied by a number greater than unity before threshold-decomposition. In addition, the correlation peak tends to get broader when illumination of the input is different from that of the reference. Computer simulation results are provided.

Citation Download Citation

ShuQun Zhang and Mohammad A. Karim "Performance analysis of optical nonlinear morphological correlation under unknown illumination conditions", Proc. SPIE 3804, Algorithms, Devices, and Systems for Optical Information Processing III, (1 October 1999); https://doi.org/10.1117/12.363956

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