Abstract
A morphologically preprocessed joint transform correlation is
proposed that combines the techniques of morphological filtering and
joint transform correlation. We improve on the performance of a
joint transform correlator by eliminating noise with morphological
preprocessing and by performing edge detection of input
images. Computer simulation results show that the corresponding
system contributes to a better discrimination capability than gradient
operator-based and wavelet-based preprocessed joint transform
correlation.
© 1999 Optical Society of America
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