外文翻译图像的边缘检测Word文档格式.docx
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外文翻译图像的边缘检测Word文档格式.docx
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@#@英文资料翻译@#@图像的边缘检测@#@Toimageedgeexaminationalgorithmresearchacademicreport@#@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.@#@对图像边缘检测算法的研究学术报告摘要@#@数字图像处理作为一门相对比较年轻的学科,伴随着计算机技术的飞速发展,日益得到广泛的应用.边缘作为图像的一种基本特征,在图像识别,图像分割,图像增强以及图像压缩等的领域中有较为广泛的应用.图像边缘提取的手段多种多样,其中基于亮度的算法,是研究时间最久,理论发展最成熟的方法,它主要是通过一些差分算子,由图像的亮度计算其梯度的变化,从而检测出边缘,主要有Robert,Laplacian,Sobel,Canny,LOG等算子.首先从总体上介绍了数字图像处理及边缘提取的概况,列举了几种目前常用的边缘提取技术和算法,并选取其中两种使用VisualC++语言编程实现,通过对两种算法所提取图像结果的比较,研究探讨它们的优缺点.@#@Firstchapterintroduction@#@§@#@1.1imageedgeexaminationintroduction@#@Theimageedgeisoneofimagemostbasiccharacteristics,ofteniscarryingimagemajorityofinformations.Buttheedgeexistsintheimageirregularstructureandinnotthesteadyphenomenon,alsonamelyexistsinthesignalpointofdiscontinuityplace,thesespotshavegiventheimageoutlineposition,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,hasobtainedthevery
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- 关 键 词:
- 外文 翻译 图像 边缘 检测
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