图像边缘检测算法英文文献翻译中英文翻译.docx

图像边缘检测算法英文文献翻译中英文翻译.docx

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图像边缘检测算法英文文献翻译中英文翻译

imageedgeexaminationalgorithm

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,thesespotshavegiventheimageoutline

position,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,andsoondividesintothreelevelsdifferentlyaccordingtotheabstractdegree