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英文资料翻译Imageprocessingisnotaonestepprocess．Weareabletodistinguishbetweenseveralstepswhichmustbeperformedoneaftertheotheruntilwecanextractthedataofinterestfromtheobservedscene．InthiswayahierarchicalprocessingschemeisbuiltupassketchedinFig．Thefiguregivesanoverviewofthedifferentphasesofimageprocessing.Imageprocessingbeginswiththecaptureofanimagewithasuitable，notnecessarilyoptical，acquisitionsystem．Inatechnicalorscientificapplication，wemaychoosetoselectanappropriateimagingsystem．Furthermore，wecansetuptheilluminationsystem，choosethebestwavelengthrange，andselectotheroptionstocapturetheobjectfeatureofinterestinthebestwayinanimage．Oncetheimageissensed，itmustbebroughtintoaformthatcanbetreatedwithdigitalcomputers.Thisprocessiscalleddigitization.Withtheproblemsoftrafficaremoreandmoreserious.ThusIntelligentTransportSystem(ITS)comesout.Thesubjectoftheautomaticrecognitionoflicenseplateisoneofthemostsignificantsubjectsthatareimprovedfromtheconnectionofcomputervisionandpatternrecognition.TheimageimputedtothecomputerisdisposedandanalyzedinordertolocalizationthepositionandrecognitionthecharactersonthelicenseplateexpressthesecharactersintextstringformThelicenseplaterecognitionsystem(LPSR)hasimportantapplicationinITS.InLPSR,thefirststepisforlocatingthelicenseplateinthecapturedimagewhichisveryimportantforcharacterrecognition.Therecognitioncorrectionrateoflicenseplateisgovernedbyaccuratedegreeoflicenseplatelocation.Inthispaper,severalofmethodsinimagemanipulationarecomparedandanalyzed,thencomeouttheresolutionsforlocalizationofthecarplate.Theexperiencesshowthatthegoodresulthasbeengotwiththesemethods.Themethodsbasedonedgemapandfrequencyanalysisisusedintheprocessofthelocalizationofthelicenseplate,thatistosay,extractingthecharacteristicsofthelicenseplateinthecarimagesafterbeingcheckedupfortheedge,andthenanalyzingandprocessinguntiltheprobablyareaoflicenseplateisextracted.Theautomatedlicenseplatelocationisapartoftheimageprocessing,it’salsoanimportantpartintheintelligenttrafficsystem．ItisthekeystepintheVehicleLicensePlateRecognition(LPR).Amethodfortherecognitionofimagesofdifferentbackgroundsanddifferentilluminationsisproposedinthepaper.theupperandlowerbordersaredeterminedthroughthegrayvariationregulationofthecharacterdistribution.Theleftandrightbordersaredeterminedthroughtheblack-whitevariationofthepixelsineveryrow.Thefirststepsofdigitalprocessingmayincludeanumberofdifferentoperationsandareknownasimageprocessing．Ifthesensorhasnonlinearcharacteristics,theseneedtobecorrected．Likewise，brightnessandcontrastoftheimagemayrequireimprovement．Commonly，too，coordinatetransformationsareneededtorestoregeometricaldistortionsintroducedduringimageformation．Radiometricandgeometriccorrectionsareelementarypixelprocessingoperations．Itmaybenecessarytocorrectknowndisturbancesintheimage，forinstancecausedbyadefocusedoptics，motionblur，errorsinthesensor，orerrorsinthetransmissionofimagesignals．Wealsodealwithreconstructiontechniqueswhicharerequiredwithmanyindirectimagingtechniquessuchastomographythatdelivernodirectimage.Awholechainofprocessingstepsisnecessarytoanalyzeandidentifyobjects．First，adequatefilteringproceduresmustbeappliedinordertodistinguishtheobjectsofinterestfromotherobjectsandthebackground．Essentially，fromanimage（orseveralimages），oneormorefeatureimagesareextracted．Thebasict...