数字图像处理论文中英文对照资料外文翻译文献.docx
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数字图像处理论文中英文对照资料外文翻译文献
中英文对照资料外文翻译文献
原文
Toimageedgeexaminationalgorithmresearch
Abstract:
Digitalimageprocessingtookarelativequiteyoungdiscipline,isfollowingthecomputertechnologyrapiddevelopment,daybydayobtainsthewidespreadapplication.Theedgetooktheimageonekindofbasiccharacteristic,inthepatternrecognition,theimagedivision,theimageintensificationaswellastheimagecompressionandsooninthedomainhasamorewidespreadapplication.Imageedgedetectionmethodmanyandvaried,inwhichbasedonbrightnessalgorithm,isstudiesthetimetobemostlong,thetheorydevelopsthematurestmethod,itmainlyisthroughsomedifferenceoperator,calculatesitsgradientbasedonimagebrightnessthechange,thusexaminestheedge,mainlyhasRobert,Laplacian,Sobel,Canny,operatorsandsoonLOG。
Firstasawholeintroduceddigitalimageprocessingandtheedgedetectionsurvey,hasenumeratedseveralkindofatpresentcommonlyusededgedetectiontechnologyandthealgorithm,andselectstwokindstouseVisualtheClanguageprogrammingrealization,throughwithdrawstheimageresulttotwoalgorithmsthecomparison,theresearchdiscussestheirgoodandbadpoints.
Foreword:
Inimageprocessing,asabasiccharacteristic,theedgeoftheimage,whichiswidelyusedintherecognition,segmentation,intensificationandcompressoftheimage,isoftenappliedtohigh-leveldomain.Therearemanykindsofwaystodetecttheedge.Anyway,therearetwomaintechniques:
oneisclassicmethodbasedonthegraygradeofeverypixel;theotheroneisbasedonwaveletanditsmulti-scalecharacteristic.Thefirstmethod,whichisgotthelongestresearch,gettheedgeaccordingtothevarietyofthepixelgray.ThemaintechniquesareRobert,Laplace,Sobel,CannyandLOGalgorithm.
Thesecondmethod,whichisbasedonwavelettransform,utilizestheLipschitzexponentcharacterizationofthenoiseandsingularsignalandthenachievethegoalofremovingnoiseanddistillingtherealedgelines.Inrecentyears,anewkindofdetectionmethod,whichbasedonthephaseinformationofthepixel,isdeveloped.Weneedhypothesizenothingaboutimagesinadvance.Theedgeiseasytofindinfrequencydomain.It’sareliablemethod.
Inchapterone,wegiveanoverviewoftheimageedge.Andinchaptertwo,someclassicdetectionalgorithmsareintroduced.Thecauseofpositionalerrorisanalyzed,andthendiscussedamoreprecisionmethodinedgeorientation.Inchapterthree,wavelettheoryisintroduced.Thedetectionmethodsbasedonsamplingwavelettransform,whichcanextractmaimedgeoftheimageeffectively,andnon-samplingwavelettransform,whichcanremaintheoptimumspatialinformation,arerecommendedrespectively.Inthelastchapterofthisthesis,thealgorithmbasedonphaseinformationisintroduced.UsingthelogGaborwavelet,two-dimensionfilterisconstructed,manykindsofedgesaredetected,includingMachBand,whichindicatesitisaoutstandingandbio-simulationmethod。
Mayalltheworkinthispaperisofsomevaluetoresearchandapplicationsofimageedgedetection.
Firstchapterintroduction
§1.1imageedgeexaminationintroduction
Theimageedgeisoneofimagemostbasiccharacteristics,ofteniscarryingimagemajorityofinformations。
Buttheedgeexistsintheimageirregularstructureandinnotthesteadyphenomenon,alsonamelyexistsinthesignalpointofdiscontinuityplace,these
spotshavegiventheimageoutlineposition,theseoutlinesarefrequentlywewhentheimageryprocessingneedstheextremelyimportantsomerepresentativecondition,thisneedsustoexamineandtowithdrawitsedgetoanimage。
Buttheedgeexaminationalgorithmisintheimageryprocessingquestiononeofclassicaltechnicaldifficultproblems,itssolutioncarriesonthehighlevelregardingusthecharacteristicdescription,therecognitionandtheunderstandingandsoonhasthesignificantinfluence;Alsobecausetheedgeexaminationallhasinmanyaspectstheextremelyimportantusevalue,thereforehowthepeoplearedevotingcontinuouslyinstudyandsolvethestructuretoleavehavethegoodnatureandthegoodeffectedgeexaminationoperatorquestion。
Intheusualsituation,wemaythesignalinsingularpointandthepointofdiscontinuitythoughtisintheimageperipheralpoint,itsnearbygradationchangesituationmayreflectfromitsneighboringpictureelementgradationdistributiongradient。
Accordingtothischaracteristic,weproposedmanykindsofedgeexaminationoperator:
IfRobertoperator,Sobeloperator,Prewittoperator,Laplaceoperatorandsoon.Thesemethodsmanyarewaitfortheprocessingpictureelementtocarryonthegradationanalysisforthecentralneighborhoodachievementthefoundation,realizedandhasalreadyobtainedthegoodprocessingeffecttotheimageedgeextraction.。
Butthiskindofmethodsimultaneouslyalsoexistshastheedgepictureelementwidth,thenoisejammingisseriousandsoontheshortcomings,evenifusessomeauxiliarymethodstoperformthedenoising,alsocorrespondingcanbringtheflawwhichtheedgefuzzyandsoonovercomeswithdifficulty。
Alongwiththewaveletanalysisappearance,itsgoodtimefrequencypartialcharacteristicbythewidespreadapplicationintheimageryprocessingandinthepatternrecognitiondomain,becomesinthesignalprocessingthecommonlyusedmethodandthepowerfultool。
Throughthewaveletanalysis,mayinterweavedecomposesinthesameplaceeachkindofcompositesignalthedifferentfrequencytheblocksignal,butcarriesontheedgeexaminationthroughthewavelettransformation,mayuseitsmulti-criteriaandthemulti-resolutionnaturefully,realeffectiveexpressestheimagetheedgecharacteristic。
Whenthewavelettransformationcriterionreduces,ismoresensitivetotheimagedetail;Butwhenthecriterionincreases,theimagedetailisfilteredout,theexaminationedgewillbeonlythethickoutline.Thischaracteristicisextremelyusefulinthepatternrecognition,wemaybecalledthisthickoutlinetheimagethemainedge.Ifwillbeableanimagemainedgeclearintegrityextraction,thistothegoaldivision,therecognitionandsoonfollowingprocessingtobringtheenormousconvenience.Generallyspeaking,theabovemethodallistheworkwhichdoesbasedontheimageluminanceinformation。
Inthemultitudinousscientificresearchworkerunder,hasobtainedtheverygoodeffectdiligently.But,becausetheimageedgereceivesphysicalconditionandsoontheilluminationinfluencesquitetobebigabove,oftenenablesmanytohaveacommonshortcomingbasedonbrightnessedgedetectionmethod,thatistheedgeisnotcontinual,doesnotsealup.Consideredthephaseinformationintheimageimportanceaswellasitsstablecharacteristic,causesusingthephaseinformationtocarryontheimageryprocessingintonewresearchtopic。
Inthispapersoonintroducesonekindbasedonthephaseimagecharacteristicexaminationmethod--phaseuniformmethod.Itisnotusestheimagetheluminanceinformation,butisitsphasecharacteristic,namelysuppositionimageFouriercomponentphasemostconsistentspotachievementcharacteristicpoint.Notonlyitcanexaminebrightnesscharacteristicsandsoonstepcharacteristic,linecharacteristic,moreovercanexamineMachbeltphenomenonwhichproducesasaresultofthehumanvisionsensationcharacteristic.Becausethephaseuniformitydoesnotneedtocarryonanysuppositiontotheimagecharacteristictype,thereforeithastheverystrongversatility。
§1.2imageedgedefinition
Theimagemajoritymaininformationallexistsintheimageedge,themainperformancefortheimagepartialcharacteristicdiscontinuity,isintheimagethegradationchangequitefierceplace,alsoisthesignalwhichweusuallysaidhasthestrangechangeplace。
Thestrangesignalthegradationchangewhichmovestowardsalongtheedgeisfierce,usuallywedividetheedgeforthestepshapeandtheroofshapetwokindoftypes(asshowninFigure1-1).Inthestepedgetwosidegreylevelshavetheobviouschange;Buttheroofshapeedgeislocatedthegradationincreaseandthereducedintersectionpoint.Mayportraytheperipheralpointinmathematicsusingthegradationderivativethechange,tothestepedge,theroofshapeedgeasksitsstep,thesecondtimederivativeseparately。
Toanedge,hasthepossibilitysimultaneouslytohavethestepandthelineedgecharacteristic.Forexampleonasurface,changesfromaplanetothenormaldirectiondifferentanotherplanecanproducethestepedge;Ifthissurfacehastheedgesandcornerswhichtheregularreflectioncharacteristicalsotwoplanesformquitetobesmooth,thenworksaswhenedgesandcornerssmoothsurfacenormalaftermirrorsurfacereflectionangle,asaresultoftheregularreflectioncomponent,canproducethebrightlightstripontheedgesandcornerssmoothsurface,suchedgelookedlikehaslikelysuperimposedalineedgeinthestepedge.Becauseedgepossibleandinsceneobjectimportantcharacteristiccorrespondence,thereforeitistheveryimportantimagecharacteristic。
Forinstance,anobjectoutlineusuallyproducesthestepedge,becausetheobjectimageintensityisdifferentwiththebackgroundimageintensity。
§1.3paperselectedtopictheorysignificance
Thepaperselectedtopicoriginatesinholdstheimportantstatusandthefunctionpracticalapplicationtopicintheimageproject.Theso-calledimageprojectdisciplineisrefersfoundationdisciplineandsoonmathematics,opticsprinciples,thedisciplinewhichintheimageapplicationunifieswhichaccumulatesthetechnicalbackgrounddevelops.Theimageprojectcontentisextremelyrich,andsoondividesintothreelevelsdifferentlyaccordingtotheabstrac