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1、ProceedingsoftheIEEEInternationalConferenceonAutomationandLogisticsQingdao,ChinaSeptember2008EdgeFeatureExtractionBasedonDigitalImageProcessingTechniquesFeng-yingCuiandLi-junZouBeiSongCollegeofAutomationandElectricalEngineeringCollegeofAutomationandElectricalEngineeringQingdaoUn
2、iversityofScienceandTechnology,QingdaoUniversityofScienceandTechnology,Qingdao266042,ChinaQingdao,ShanDongProvince,China{cfy_angel&zlj105983}@163.compipisongbei@163.comʳAbstract-Edgedetectionisabasicandimportantsubjectincomputervisionandimageprocessing.InthispaperwediscussII.IMA
3、GEDENOISINGseveraldigitalimageprocessingtechniquesappliedinedgeAsweallknow,theactualgatheredimagescontainfeatureextraction.Firstly,wavelettransformisusedtoremovenoisesintheprocessofformation,transmission,receptionandnoisesfromtheimagecollected.Secondly,someedgedetectionprocessin
4、g.Noisesdeterioratethequalityoftheimage.TheyoperatorssuchasDifferentialedgedetection,Logedgedetection,CannyedgedetectionandBinarymorphologyareanalyzed.Andmakeimageblur.Andmanyimportantfeaturesarecoveredup.thenaccordingtothesimulationresults,theadvantagesandThisbringslotsofdiffic
5、ultiestotheanalysis.Therefore,thedisadvantagesoftheseedgedetectionoperatorsarecompared.ItmainpurposeistoremovenoisesoftheimageinthestageofisshownthattheBinarymorphologyoperatorcanobtainbetterpretreatment.edgefeature.Finally,inordertogainclearandintegralimageThetraditionaldenoisi
6、ngmethodistheuseofalow-passprofile,themethodofborderingclosedisgiven.Afterorband-passfiltertodenoise.Itsshortcomingisthatthesignalexperimentation,edgedetectionmethodproposedinthispaperisisblurredwhennoisesareremoved.Thereisirreconcilablefeasible.contradictionbetweenremovingnoise
7、andedgemaintenance.YetwaveletanalysishasbeenprovedtobeapowerfultoolforIndexTerms-Edgedetection,digitalimageprocessing,imageprocessing[2].BecauseWaveletdenoisingusesaoperator,waveletanalysisdifferentfrequencyband-passfiltersonthesignalfiltering.ItI.INTRODUCTIONremovesthecoefficie
8、ntsofsomescaleswhichmainlyreflectTheedgeisaseto
