We introduce a modification of the nonlinear morphological
correlation for optical rotation-invariant pattern recognition. The
high selectivity of the morphological correlation is conserved compared
with standard linear correlation. The operation performs the common
morphological correlation by extraction of the information by means of
a circular-harmonic component of a reference. In spite of some loss
of information good discrimination is obtained, especially for
detecting images with a high degree of resemblance. Computer
simulations are presented, as well as optical experiments implemented
with a joint transform correlator.
© 2000 Optical Society of America
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