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Performance analysis of optical nonlinear morphological correlation under unknown illumination conditions
Conference proceeding

Performance analysis of optical nonlinear morphological correlation under unknown illumination conditions

Shuqun Zhang and Mohammad Karim
Algorithms, devices, and systems for optical information processing III; Proceedings of the Meeting, Denver, CO; UNITED STATES; 20-21 July 1999, pp.125-133
07/01/1999

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 become broader when illumination of the input is different from that of the reference. Computer simulation results are provided. (Author)

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