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1、ASurveyofImageRegistrationTechniquesLISAGOTTESFELDBROWNDepartmentofComputerSctence,ColunzbzaUnzl,ersity,NewYork,NY10027RegistrationMafundamentaltaskinimageprocessingusedtomatchtwoormorepicturestaken,forexample,atdifferenttimes,fromdifferentsensors,orfromdifferentviewpoints.Virtuallyalllar
2、gesystemswhichevaluateimagesrequiretheregistrationofimages,oracloselyrelatedoperation,asanintermediatestep.Specificexamplesofsystemswhereimageregistrationisasignificantcomponentincludematchingatargetwithareal-timeimageofascenefortargetrecognition,monitoringgloballandusageusingsatelliteima
3、ges,matchingstereoimagestorecovershapeforautonomousnavigation,andaligningimagesfromdifferentmedicalmodalitiesfordiagnosis.Overtheyears,abroadrangeoftechniqueshasbeendevelopedforvarioustypesofdataandproblems.Thesetechniqueshavebeenindependentlystudiedforseveraldifferentapplications,resulti
4、nginalargebodyofresearch.Thispaperorganizesthismaterialbyestabhshingtherelationshipbetweenthevariationsintheimagesandthetypeofregistrationtechniqueswhichcanmostappropriatelybeapplied.Threemajortypesofvariationsaredistinguished.Thefirsttypearethevariationsduetothedifferencesinacquisitionwh
5、ichcausetheimagestobemisaligned.Toregisterimages,aspatialtransformationisfoundwhichwillremovethesevariations.Theclassoftransformationswhichmustbesearchedtofindtheoptimaltransformationisdeterminedbyknowledgeaboutthevariationsofthistype.Thetransformationclassinturninfluencesthegeneraltechni
6、quethatshouldbetaken.Thesecondtypeofvariationsarethosewhicharealsoduetodifferencesinacquisition,butcannotbemodeledeasilysuchaslightingandatmosphericconditions.Thistypeusuallyeffectsintensityvalues,buttheymayalsobespatial,suchasperspectivedistortions,Thethn-dtypeofvariationsaredifferencesi
7、ntheimagesthatareofinterestsuchasobjectmovements,growths,orotherscenechanges.Variationsofthesecondandthirdtypearenotdirectlyremovedbyregistration,buttheymakeregistrationmoredifficultsinceanexactmatchisnolongerpossible.Inparticular,itiscriticalthatvariationsofthethir