Morphologically preprocessed joint transform correlation.
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.
Zhang
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Department of Electrical and Computer Engineering, University of Dayton, 300 College Park, Dayton, Ohio 45469-0226, USA.
Karim
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MA