Optical pattern recognition architecture implementing the meansquare error correlation algorithm
Abstract
An optical architecture implementing the meansquare error correlation algorithm, MSE=.SIGMA.[IR].sup.2 for discriminating the presence of a reference image R in an input image scene I by computing the meansquareerror between a timevarying reference image signal s.sub.1 (t) and a timevarying input image signal s.sub.2 (t) includes a laser diode light source which is temporally modulated by a doublesideband suppressedcarrier source modulation signal I.sub.1 (t) having the form I.sub.1 (t)=A.sub.1 [1+.sqroot.2m.sub.1 s.sub.1 (t)cos (2.pi.f.sub.o t)] and the modulated light output from the laser diode source is diffracted by an acoustooptic deflector. The resultant intensity of the +1 diffracted order from the acoustooptic device is given by: I.sub.2 (t)=A.sub.2 [+2m.sub.2.sup.2 s.sub.2.sup.2 (t)2.sqroot.2m.sub.2 (t) cos (2.pi.f.sub.o t] The time integration of the two signals I.sub.1 (t) and I.sub.2 (t) on the CCD deflector plane produces the result R(.tau.) of the meansquare error having the form: R(.tau.)=A.sub.1 A.sub.2 {[T]+[2m.sub.2.sup.2.multidot..intg.s.sub.2.sup.2 (t.tau.)dt][2m.sub.1 m.sub.2 cos (2.tau.f.sub.o .tau.).multidot..intg.s.sub.1 (t)s.sub.2 (t.tau.)dt]} where: s.sub.1 (t) is the signal input to the diode modulation source: s.sub.2 (t) is the signal input to the AOD modulation source; A.sub.1 is the light intensity; A.sub.2 is the diffraction efficiency; m.sub.1 and m.sub.2 are constants that determine the signaltobias ratio; f.sub.o is the frequency offsetmore »
 Inventors:

 Albuquerque, NM
 Issue Date:
 Research Org.:
 AT&T
 OSTI Identifier:
 868040
 Patent Number(s):
 5060282
 Assignee:
 United States of America as represented by United States (Washington, DC)
 Patent Classifications (CPCs):

G  PHYSICS G06  COMPUTING G06E  OPTICAL COMPUTING DEVICES
 DOE Contract Number:
 AC0476DP00789
 Resource Type:
 Patent
 Country of Publication:
 United States
 Language:
 English
 Subject:
 optical; pattern; recognition; architecture; implementing; meansquare; error; correlation; algorithm; sigma; ir; discriminating; presence; reference; image; input; scene; computing; meansquareerror; timevarying; signal; laser; diode; light; source; temporally; modulated; doublesideband; suppressedcarrier; modulation; form; sqroot; 2m; cos; output; diffracted; acoustooptic; deflector; resultant; intensity; device; 2; time; integration; signals; ccd; plane; produces; result; tau; multidot; intg; t; dt; aod; diffraction; efficiency; constants; determine; signaltobias; ratio; frequency; offset; oscillator; constant; chosen; bias; respective; linear; operating; regions; exhibits; characteristic; amplitude; reference image; signal input; modulation signal; image signal; pattern recognition; light source; laser diode; light intensity; light output; meansquare error; modulated light; time integration; optic device; linear intensity; diffraction efficiency; error correlation; frequency offset; optical pattern; amplitude characteristic; architecture implementing; correlation algorithm; /382/359/
Citation Formats
Molley, Perry A. Optical pattern recognition architecture implementing the meansquare error correlation algorithm. United States: N. p., 1991.
Web.
Molley, Perry A. Optical pattern recognition architecture implementing the meansquare error correlation algorithm. United States.
Molley, Perry A. Tue .
"Optical pattern recognition architecture implementing the meansquare error correlation algorithm". United States. https://www.osti.gov/servlets/purl/868040.
@article{osti_868040,
title = {Optical pattern recognition architecture implementing the meansquare error correlation algorithm},
author = {Molley, Perry A},
abstractNote = {An optical architecture implementing the meansquare error correlation algorithm, MSE=.SIGMA.[IR].sup.2 for discriminating the presence of a reference image R in an input image scene I by computing the meansquareerror between a timevarying reference image signal s.sub.1 (t) and a timevarying input image signal s.sub.2 (t) includes a laser diode light source which is temporally modulated by a doublesideband suppressedcarrier source modulation signal I.sub.1 (t) having the form I.sub.1 (t)=A.sub.1 [1+.sqroot.2m.sub.1 s.sub.1 (t)cos (2.pi.f.sub.o t)] and the modulated light output from the laser diode source is diffracted by an acoustooptic deflector. The resultant intensity of the +1 diffracted order from the acoustooptic device is given by: I.sub.2 (t)=A.sub.2 [+2m.sub.2.sup.2 s.sub.2.sup.2 (t)2.sqroot.2m.sub.2 (t) cos (2.pi.f.sub.o t] The time integration of the two signals I.sub.1 (t) and I.sub.2 (t) on the CCD deflector plane produces the result R(.tau.) of the meansquare error having the form: R(.tau.)=A.sub.1 A.sub.2 {[T]+[2m.sub.2.sup.2.multidot..intg.s.sub.2.sup.2 (t.tau.)dt][2m.sub.1 m.sub.2 cos (2.tau.f.sub.o .tau.).multidot..intg.s.sub.1 (t)s.sub.2 (t.tau.)dt]} where: s.sub.1 (t) is the signal input to the diode modulation source: s.sub.2 (t) is the signal input to the AOD modulation source; A.sub.1 is the light intensity; A.sub.2 is the diffraction efficiency; m.sub.1 and m.sub.2 are constants that determine the signaltobias ratio; f.sub.o is the frequency offset between the oscillator at f.sub.c and the modulation at f.sub.c +f.sub.o ; and a.sub.o and a.sub.1 are constant chosen to bias the diode source and the acoustooptic deflector into their respective linear operating regions so that the diode source exhibits a linear intensity characteristic and the AOD exhibits a linear amplitude characteristic.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1991},
month = {1}
}