Distortion-Invariant Target Recognition Based on Multi channel Joint Transform Correlator

被引：0
|
作者：
Lin Chao [1 ]
Han Yanli [1 ]
Lou Shuli [2 ]
Liu Pei [1 ]
Zhang Wenlong [3 ]
Yang Zikang [3 ]
机构：
[1] Naval Aviat Univ, Sch Aviat Operat & Support, Yantai 264000, Shandong, Peoples R China
[2] Yantai Univ, Sch Optoelect Informat Sci & Technol, Yantai 264000, Shandong, Peoples R China
[3] Unit 92485 PLA, Dalian 116041, Liaoning, Peoples R China
来源：
CHINESE JOURNAL OF LASERS-ZHONGGUO JIGUANG | 2022年 / 49卷 / 13期
关键词：
information processing; optical pattern recognition; multiple channeled joint transform correlator; synthetic discriminant function; distortion-invariant pattern recognition; IMPLEMENTATION; SCALE; IMAGE; PHASE;
D O I：
10.3788/CJL202249.1309001
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
ObjectiveWiththeadventofthebigdataandintelligenceerasinformationsystemsrequireconsiderablyenhancedperformanceandlowenergycostsOpticalcomputingmaybecomethenext-generationcomputingplatformowingtoitsparallelprocessingcapabilityandhighbandwidthwithlowenergyconsumptionInpatternrecognitionapplicationslargeamountsofimagedatamustberapidlyprocessedTwotypesofopticalapproacheshavebeeninvestigatedforpatternrecognitionopticalneuralnetworkwhichcomprisestwosubclassesincludingsiliconphotonic-basedneuralnetworksandfree-space-basedopticalnetworkTheformerhasundergoneconsiderableadvancementsrecentlyowingtoimprovedfabricationcapabilityandnovelnetworkcomponentsbasedonopticssuchasmicroringresonatorsandMach-ZehnderinterferometersThelatteregdiffractiveneuralnetworksisalsoimportantparticularlyforcomputationalimaging-basedapplicationsHoweveropticalneuralnetwork-basedpatternrecognitionapproachesareimmatureowingtotheimplementationofnonlinearfunctionsPatternrecognitionapproachesfoundedonfree-space-basedopticalnetworksarehybridoptoelectroniccorrelatorsfarmorematurethanopticalneuralnetwork-basedonesThecorrelatorcanbecodesignedwithaneuralnetworktoserveasacoprocessertoprefiltersomeimagefeaturesforultrafastprocessingHoweverinconventionalopticalcorrelatorsboththespatialandspectralbandwidthsofsystemshavenotbeenefficientlyusedwhenperformingthecorrelationoperationHencetheinherentparallelprocessingcapabilityofopticscannotbefullyexploited. MethodsInourpreviousworkamultichanneljointtransformcorrelationmethodisproposedbasedonthecompressionandtranslationofjointtransformpowerspectrumtofullyutilizespatialandspectralbandwidthsandenhancetheparallelprocessingefficiencyandrecognitionaccuracyofopticalcorrelationsystemsIntheinputplaneofthisschemethescene imageandNnumbersofreferenceimagesareuploadedondifferentzonesoftheinputspatiallightmodulatorthenthephasemapsoptimizedusingtheiterativealgorithmaresuperimposedontotheimagesIntheFourierplaneinterferencebetweentheFourierspectraofsceneimagesandthoseofeverysinglereferenceimageoccursindifferentzonesoftheFourierplaneWhentherestrictionparameterinthephaseoptimizationalgorithmisappropriatedadjustednointerferenceoftheFourierspectraofthereferenceimagesisobservedConsequentlytheparallelprocessingofNchannelsisachievedwithoutcrosstalkTherelationbetweenthelocalizedpeakcluttermeanoftheFourierspectraofthepreferredphaseandthestandarddeviationofthecorrelationpeakpositionisanalyzedandusedasacriterionforpreferentialpreferredphasemaskselectionFurthermorethestandarddeviationofthecorrelationpeakpositionisobtainedforrecognitiontasksInthisstudywefocusondistortion-invariantpatternrecognitionbyintegratingthemultichanneljointtransformcorrelatorandthesyntheticdiscriminantfunctionFirstthefeasibilityofthelocalpeaktocluttermeanasaconstraintforpreferentialphaseselectionisanalyzedresultsindicatedthatthisfactorisnotappropriatewhenthesyntheticdiscriminantfunctionisusedHenceanewphaseselectioncriterion-knownasthevariationinthecorrelationpeakposition-isproposedtoobtainthepublicpreferredphasefortargetswithaspecificdistortionrangeFurthermoretheselectedphaseisusedinthemultichanneljointtransformcorrelatorwiththesyntheticdiscriminantfunctiontoachievedistortion-invariantpatternrecognitionThentodeterminethesystemperformanceintermsofthedistortionlevelthetoleranceofoursystemonthescaling-downofthesizeoftargetandtheincreaseinthenumberoftrainingimagesforthesyntheticdiscriminantfunctionareanalyzedFinallyconsideringthatthebackgroundmayvaryinrealapplicationswetakesuccessivevideoframesasvariedinputbackgroundsandanalyzethefeasibilityofourproposal. ResultsandDiscussionsResultsindicatethatundertheconsideredimagefilesizeandbackgroundcomplexitytheproposedmethodcanachievenine-channelparallelrecognitionFig8Forcorrectrecognitiontheminimumscalingdownfactoris06Fig11Whenthenumberofrotatedtrainingimagesisincreasedto9inthesyntheticdiscriminantfunctionacorrectrecognitioncanbeguaranteedFig13TherelationbetweentheminimumthresholdofphasetheoptimizationconstraintandthesynthesizedimagenumbersofSDFisobtainedforcalculatingthepreferredphasesTable1FurthermoreacorrectrecognitioncanbeguaranteedwhenthevaluesofhalfthepixelsinthebackgroundhavechangedFig16 ConclusionsHereinanoveldistortion-invariantpatternrecognitionmethodbasedonmultichanneljointtransformcorrelatorisproposedThelocalpeaktocluttermeanisshowntobeunsuitableandweproposeanewoptimizationcriterionknownasthevariationinthecorrelationpeakpositionwhichisfeasibleinthisproposalWeachievenine-channelpatternrecognitionwithin06--10timesofthescalingoftheimagesizeandrotationrangesof0 degrees--30 degrees 70 degrees--100 degrees 140 degrees--170 degrees 210 degrees--240 degrees and280 degrees--310 degrees TheupperlimitofthenumberofsynthesizedtrainingimagesisanalyzedwhichisnineinthisstudyMoreovertheproposedmethodcanmaintainitsperformancewhenthebackgroundisvariedwithinthevaluesofhalfitspixelindicatingrobustnesstobackgroundchangesTherecognitionspeedandaccuracyondistortionofthesystemareconsiderablyimprovedwithourproposalwhichwillbenefitthedevelopmentofpracticalmultichannelopticalcorrelators
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