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1、ICIP2005TutorialImageRegistration:ASurveyandRecentAdvancesPresentedbyBarbaraZitov′aJanFlusserFilipSroubekˇInstituteofInformationTheoryandAutomationAcademyofSciencesoftheCzechRepublicPodvod′arenskouvˇeˇz′?4,18208Prague8,CzechRepublicE-mail:{zitova,?usser,sroubekf}@utia.cas.czThisiscomplemen
2、tarymaterialforICIP’05tutorial”ImageRegistration:ASurveyandRecentAdvances”.Itaimstopresentareviewofrecentaswellasclassicimageregistrationmethods.Imageregistrationistheprocessofoverlayingtwoormoreimagesofthesamescenetakenatdi?erenttimes,underdi?erentlightingconditions,fromdi?erentviewpoints
3、and/orbydi?erentsensors.Themajorregistrationpurposeistoremoveorsuppressgeometricdistortionsbetweenthereferenceandsensedimages.Imageregistrationisacrucialstepinallimageanalysistasksinwhichthe?nalinformationisgainedbycombiningvariousdatasources.Imageregistrationisrequired,amongothers,inremot
4、esensing(multispectralclassi?cation,imagefusion,environmentalmonitoring,changedetection,imagemosaicing,weatherforecasting,integratinginformationintoGIS),inmedicine(combiningCTandNMRdatatoobtainmorecompleteinformationaboutthepatient,monitoringoftumorgrowth,comparisonofthepatientdatawithanat
5、omicalatlases),incartography(mapupdating),andinmilitaryapplications(targetlocalization,missilenavigation).Keywords:Imageregistration,featuredetection,featurematching,mappingfunction,re-samplingPartI:Survey1IntroductionImageregistrationistheprocessofoverlayingtwoormoreimagesofthesamesceneta
6、kenatdi?erenttimes,fromdi?erentviewpoints,and/orbydi?erentsensors.Itgeometricallyalignstwoimages-thereferenceandsensedimages.Thepresentdi?erencesbetweenim-agesareintroducedduetodi?erentimagingconditions.Imageregistrationisacrucialstepinallimageanalysistasksinwhichthe?nalinformationisgained
7、fromthecombina-tionofvariousdatasourceslikeinimagefusion,changedetection,andmultichannelimagerestoration.Typically,registrationisrequiredinremotesensing(multispectralclassi?cation,environmentalmonitoring,changedetection,imagemosaicing,weatherforecasting,creati
