数字图像处理中英文对照外文翻译文献Word格式.docx
- 文档编号:18797794
- 上传时间:2023-01-01
- 格式:DOCX
- 页数:18
- 大小:78KB
数字图像处理中英文对照外文翻译文献Word格式.docx
《数字图像处理中英文对照外文翻译文献Word格式.docx》由会员分享,可在线阅读,更多相关《数字图像处理中英文对照外文翻译文献Word格式.docx(18页珍藏版)》请在冰豆网上搜索。
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,oftenenablesmanytohaveacommon
shortcomingbasedonbrightnessedgedetectionmethod,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,andsoondividesintothreelevelsdifferentlyaccordingtotheabstractdegreean
- 配套讲稿:
如PPT文件的首页显示word图标,表示该PPT已包含配套word讲稿。双击word图标可打开word文档。
- 特殊限制:
部分文档作品中含有的国旗、国徽等图片,仅作为作品整体效果示例展示,禁止商用。设计者仅对作品中独创性部分享有著作权。
- 关 键 词:
- 数字图像 处理 中英文 对照 外文 翻译 文献