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APPLICATIONINNDTOF
COMPUTERDIGITALX-RAYREALTIMEIMAGESYSTEM
Abstract
Nondestructivetesting(NDT)isoneofthemostcommonlyusedscientificmeanstodetecttheinternaldefectswithoutdamagingthetestedobjects,thereforeitisfoundwidelyapplicationsintheindustriesofmechanical,petrochemical,aerospaceetc.RadiographicTesting(RT)byX-rayiscommonlyusedNDTmethodatpresent,itsdisadvantagesareunavoidableforitslongtestperiod,highcostandenvironmentpollution.Withthedevelopmentofcomputertechnology,anemergingNDTmethodwithdigitalX-rayrealtimeimage(DXRTI)isfoundincreasedapplicationinindustry.Thispaperpresentsthefundamentalsandapplicationsofcomputernumericalimagetechnique(CNIT)inNDTwithDXRTItechnique,andintroducedthenewdevelopedDXRTIsoftware‘XCX2000’anditsapplicationsandeconomicbenefitinwelddefectsdetectingforLPGCylinders.
Keywords
computer,software,RealTimeImage,digitalimagesprocessing,X-ray,NDT
1.Introduction
TheprincipleofNDTwithDXRTImaybebrieflyexpressedbythetwoconversions:Afterpenetrationofmetal,X-raysignalswascapturedandconvertedintothevisualizedimagesbytheImageIntensifier,whichiscalledphotoelectricconversion.ThevisualizedimageswasshotbyveryfineresolutionvideocameraandthenwasconvertedintodigitalimagebyImageAcquisitionCard,whichiscalledA/Dconversion.Thedigitalimagewasprocessedwithcomputeranddisplaytheproperties,dimensionandlocationoftheinsidedefectsonscreen.Finally,thedefectgradewasassessedaccordingtotherelevantcodesandstandards.ThequalityandeffectofDXRTIisacceptablygoodcomparedwithradiographicfilms,sothatthelatercanbereplacedbytheformermethod.Moreover,withitsmuchhigherefficiency,lowercost,betterinspectioneffectiveness,remotertransmissionandmuchmoreconvenience,DXRTIhasprosperousfutureinthefieldofNDT.
2.Systemrequirements
DXRTINDTsystemiscomposedbyX-raysource,imageintensifier,opticalchannel,videocamera,computer,ImageAcquisitionCard,imagedisplayandstorageequipment(seeFig.1).TheX-raysourceisdifferentfromtheconventionaloneinitsconstantpotential,smallfocusandforcedconvectioncoolingsystem.
2.1TheComputer’sRequirements
IntelMMX166CPUorfaster,32MBRAM,2.0GHarddiskfreespace,2DGraphicAccelerateCard(4Mvideomemory),17”SVGAMonitor,CD-RWriter.
OperatingSystem:MicrosoftWindows95/98.
Fig.1BlockDiagramforNDTwithDXRTI
2.2SystemManagement
Forconvenientoperations,twocomputerscanbeconnectedtothesystemtoformapeertopeernetwork,oneforimageacquisitionandtheotherforimageassessment,andeachcomputerworkswithidenticalpurpose.Theresultimagesarestoredintheharddiskforassessmentandtransmittedforverylongdistanceviainternet.
3.Digitalimageprocessingbycomputer
Theprocessingofdigitalimagesbycomputerincludesthreeparts:imageacquisition,imagestreatmentandimagedisplay。
3.1ImageAcquisition
X-rayfromradiographicmachinepenetratesthetestobjectandconvertedintothevisibleimageonthescreenbytheimageintensifier.ThentheimagesarechangedintovideosignalsbythevideocameraandsenttotheImageAcquisitionCardfordigitalconversion.Finallythedigitalimagesaretobeprocessedbythecomputer.
Therearetwoimportantparametersintheimageacquisition:grayscaleand
resolutionoftheimages.Commonly,theA/Dconverteroftheimageacquisitionis8bitswithcolorsof256grayscales.Higherresolutionoftheimageacquisitionwilleffectivelyimprovethedefectsresolvingpower.Theresolutionoftheimageacquisitionshouldbenolessthan768X576dotlines.
3.2ImageProcessing
Themainpurposeofimageprocessingistoextractspecificinformationfromtheimagesforcomprehensivecomputeranalysisandtheidentificationofdifferentimages.
ImageSuperpositionfornoisereduction
Itisnoticedthatrandomnoiseinformationisunavoidableinimageacquisition,whichisoneoftheimportantfactorsaffectingthequalityoftheimages.Forthecaseofstableimageacquisition,oneoftheeffectiveandpracticalwaystoeliminatetherandomnoiseistosuperposetheinputimagescontinuously.Theoretically,thetimedependentnoisecanberemovedorfilteredcompletelyifsufficientframesoftheimagessuperposed.Therefore,framesuperpositioniscommonlyusedintheprocessingofimages.Thismethodisexpressedbythefollowingequation:
〔1〕
Where,g(x,y)standsforthedotgrayscaleoftheimage,Misthetotalnumbersofthesuperposedimageframes,fk(x,y)isthegrayscalevaluefortheKthframeimage.ThesamplingtestshowsthattheresultswillbesatisfactorywhenM≥16.
GrayScaleExpand
〔2〕Grayscaleconversiontechniqueiscommonlyused.Withthistechnique,theimagequalitymaybeimprovedbyadjustingthegrayscaleoftheimagefollowingsomespecifiedrules.Formostofthecases,theimagegrayscalesvarywithinverynarrowregimes,resultingintotheimagewithverypoorcontrastandvaguemargins.Bylinearconversion,thegrayscalesoftheimagecanbeexpandedto256(0~255),sothatthecontrastandtheresolvingpoweroftheimagewillbeimproved.SupposetheoriginalgrayscaleregimesofaimageisA1~A2,therelevantconversionequationis
〔3〕
Moreover,withpropernonlinearconversionoftheimagegrayscales,itispossibletohighlightspecialportionoftheimagewithcertaingrayscales.Forexample,theS-Tconversionmayeffectivelyimprovethecontrastoftheweldingdefectsandthereforethedefectmarginbecomeclear.Itsconversionequationiswrittenasperfollowing:
Where,b(x),a(x)standsforthemaximumandminimumgrayscalevalueoftherelevantdotcolumnrespectively.
BrimsSharpening
Tosharpenanimageistohighlightitsbrimswithbettercontrastforeasieridentificationoftheinternaldefectsoftheweldsorobjects.Imagesharpeningissubstantiallyatechniqueofhighpassfiltrationrealizedbyaspecialmodeloperator.Thisoperationhasobviouscharacteristicsofsimpleandefficientandthereforeisapplicableforbrimsharpening,boundarydetecting,characterizingandsmoothfilteringforthedefects.
ImageReversion
〔4〕Fortheconvenienceofthetechnicians,itisnecessarytoreversetheresultantimageanddisplayitinthesimilarwayasthenegativeimageofX-raybytheequationbelow:
Where,f(x,y),g(x,y)standsfortheoriginalandthereverseddotgrayscalevaluesrespectively.
3.2.5Pseudo-colorTreatment
Forthenumbersofthecolorsislargerthantheimagegrayscales,thegrayscalesimagecanbemirroredtotherelevantcolorswhichimprovestheidentificationorthesensitivityofhumaneyes.Suchprocessingiscalledpseudo-colortreatment.
Miscellaneous
Theotherimageprocessingapproachesincludehistogramchange,digitalfilteretc.
3.3ImageDisplayandRecording
Theprocessedimagesaredisplayedonthescreenofthemonitorforfurtherevaluationandassessment.
WeldDefectsIdentificationbyComputer
Thewelddefectcharacteristicssuchasboundarylength,longitudinaldiameter,transversaldiameter,andareasarecalculatedbytracingthedefectboundarywithcomputer.Furthermore,basedontheaboveparameters,thenameofthewelddefectwillbeidentifiedandthedimensioncalculatedbythecomputerautomaticallyasperthespecifiedempiricalformula.Forthecomputeridentificationmodelofthedefectsisverycomplicated,thedefectassessmentisstillprocessedmanuallyatpresent,butthedefectquantitativeanalysisandclassificationworkcanbecarriedoutwithcomputer.
ImageCompressioncoding
Becausethedigitalimagestakehugeamountofspace,it’snecessarytohavetheimagedatacompressedforefficienttransmissionandstorage.TheDXRTIsystemiscodedwithnon-anamorphicmeansandapplicableforthenormalcompressioncodingsuchasRLE8andLZW.
ImageStorageandFileFormat
Forthefuturecheckoutandsearch,theimagedataoftheDXRTIsystemshouldbestoredintheformatofimagefilewithlargecapacitystoragemediasuchasCD-Randkeptintheplacefreeofmagneticfield,humidity,dustandmechanicalpress.TIFFismoresuitablefortheimagefilesinDXRTIsystem.
ImageStorageDevice
Welddetectingimagesnormallystoredbytheharddiskofthecomputeratfirst,andthenaretransmittedandwrittenontoCD-RdiscbyaCD-Writer.Onemaystore4200framesofimageswithitscapacityof650MBandashelflifeofmorethan30years.Therefore,it’sthepredominantstoragemediaforthedetectedimageinformation.
4.ProgrammingforDXRTIdetectingsystem
Betweentheendof1998andthebeginningof1999,thetechniciansintheplantdevelopedanewpackageoftheDXRTIsoftwarenamed‘XCX2000’basedontheprincipleofcomputernumericalimagingandthepreviousimagingtechnique.Thesoftwarecomposedoftwoparts:theimageacquisitionprogramandimageassessmentprogramshownbytheblockdiagramsbelow.
4.1ImageAcquisitionProgram(s
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