Inspection system for rail surfaces using differential images

Inspection system for rail surfaces using differential images

ID:42283741

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页数:9页

时间:2019-09-11

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1、Page1of92017-METC-0713InspectionSystemforRailSurfacesUsingDifferentialImagesF.J.delaCalle,DanielF.Garcia∗,RubenUsamentiaga´∗∗DepartmentofComputerScienceandEngineering,UniversityofOviedo,CampusdeViesques33204Gijon,Asturias,Spain,Email:fjcalleherrero@gmail.com´Abstract—Inthis

2、paperasurfaceinspectionsystemforrailsisThispaperpresentsanewsurfaceinspectionsystemforproposed.Thereisalackofcommercialsystemsandpublicationsrailsbasedontheprocessingofdifferentialimagesobtainedaboutsurfaceinspectionofrails.Therefore,thequalitycontrolfromthesurfaceofrailsby

3、aspectralimagedifferentiationdevelopedbyrailmanufacturersdependsontheirowndevelopedprocedure.systemsorontheequipmentsprovidedbyveryfewsellers.CommercialsystemsmustbeconfiguredmanuallybyexpertsTherestofthispaperisorganizedasfollows:inSectionIIofsellercompanies.Theconfiguration

4、processrequireslargesomeofthemostrelevantrelatedworksaboutdefectdetectionsetsofalltypesofmanufacturedrailsalongseveralperiodsareintroduced.InSectionIIIaglobalvisionoftheproposedoftimeandtheactiveparticipationofthequalityengineerssystemisgiven.InSectionsIVandVmethodsofacquis

5、itionofthemanufacturer.Thisisalong,cumbersomeandveryandprocessingofimagesaredescribed.InSectionVIaexpensiveprocess.Inthispaperweproposeanewsystemthatcanbeconfiguredusingasystematicmethodthatcanbemethodforoptimallyconfiguringtheparametersofthesystemperformedbythequalityenginee

6、rsofthemanufacturer.Theisdescribed.FinallySectionsVIIandVIIIgiveexperimentalproposedinspectionsystemusesdifferentialimagesoftherailresultsandconclusions.surfacesobtainedwithatechniquecalledtheSpectralImagesDifferentiationProcedure.TheseimagesareprocessedusingaII.RELATEDWORK

7、computervisionalgorithmthatlooksforvariationsinthepixelvaluesamongtheimages.Inordertooffermoreinformation,aSurfaceinspectionbasedoncomputervisiontechniquesisneuralnetworkapproachisusedforclassifyingdetecteddefectssuitablefordiversekindofmaterialsandindustries.Manyintosixtyp

8、es.Theproposedsystemisanopensolutionforthepapersstudythiskindofimageprocessingalgo

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