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Multireference detection using iterative joint transform operation with composite filtering
Author(s) -
Yu Francis T. S.,
Cheng Feng
Publication year - 1994
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.4650071407
Subject(s) - joint (building) , fourier transform , compensation (psychology) , algorithm , computer science , intensity (physics) , noise (video) , composite number , mathematics , optics , artificial intelligence , engineering , physics , image (mathematics) , mathematical analysis , architectural engineering , psychology , psychoanalysis
In this article we shall introduce an interative joint transform operation for multireference detection utilizing composite intensity compensation filtering. This technique essentially uses the normalized correlation peak intensity values as the iterative feedback into the input and Fourier planes to update the weight coefficients for the reference patterns and the composite intensity compensation filter. As shown in the simulated results, this technique can detect highly similar objects which cannot normally be differentiated with the conventional joint transform correlator. The effect due to noise is also investigated, in which we have shown that the technique improves the performance of the joint transform correlation. © 1994 John Wiley & Sons, Inc.