SIDELOBE ELIMINATION FOR GENERALIZED SYNTHETIC DISCRIMINANT FUNCTIONSBY A 2-FILTER CORRELATION AND SUBSEQUENT POSTPROCESSING OF THE INTENSITY DISTRIBUTIONS
M. Montesusategui et al., SIDELOBE ELIMINATION FOR GENERALIZED SYNTHETIC DISCRIMINANT FUNCTIONSBY A 2-FILTER CORRELATION AND SUBSEQUENT POSTPROCESSING OF THE INTENSITY DISTRIBUTIONS, Applied optics, 33(14), 1994, pp. 3050-3059
One of the most important problems in optical pattern recognition by c
orrelation is the a appearance of sidelobes in the correlation plane,
which causes false alarms. We present a method that eliminate sidelobe
s of up to a given height if certain conditions are satisfied. The met
hod can be applied to any generalized synthetic discriminant function
filter and is capable of rejecting lateral peaks that are even higher
than the central correlation. Satisfactory results were obtained in bo
th computer simulations and optical implementation.