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简介：VisualimagesensorisdevelopedtodetecttheweldpoolimagesinpulsedMIGwelding.Anexposurecontroller,whichiscomposedofthemodulesofthevoltagetransforming,theexposureparameterspresetting,thecomplexprogrammablelogicdevice(CPLD)basedlogiccontrolling,exposuresignalprocessing,thearcstatedetecting,themechanicalirisdrivingandsoon,isdesignedatfirst.Then,avisualimagesensorconsistsofanordinaryCCDcamera,opticalsystemandexposurecontrollerisestablished.Theexposuresynchroniccontrollogicisdescribedwithvery-high-speedintegratedcircuithardwaredescriptionlanguage(VHDL)andprogrammedwithCPLD,todetectweldpoolimagesatthestageofbasecurrentinpulsedMIGwelding.Finally,bothbeadonplateweldingandVgroovefilledweldingarecarriedout,clearandconsistentweldpoolimagesareacquired.

简介：Inthispaper,theX-raynondestructivetestmethodofsmalldefectsinprecisionweldmentswithcomplexstructurewaspresented.Toresolvethedifficultyofdefectsegmentationinvariablegreyimage,theimageprocessingbasedonVisualBasicprogrammingmethodwasadopted.ThemethodsofautomaticcontrastandpartialgreystretchwereusedtoenhancetheX-raydetectionimagewhichhasrelativelylowcontrast,thenautomaticthresholdmethodwascarriedouttosegmentthetwohighintensityzones,andweldzoneswhichcontainthesmalldefectswasextracted.Smoothingandsharpenprocessingwereproceededontheextractedweldzones,andsmalldefectsinX-raydetectionimageofweldmentswithcomplexstructureweresegmentedbyusingthemethodofbackgroundsubtractionintheend.Theeffectsofrasterwereeliminated,andbecauseofthattheimageprocessingwasonlyproceededontheextractedweldzones,thecalculatedspeedusingtheaboveprovidedalgorithmwasimproved.

简介：Imagesensorhasbeenoneofthekeytechnologiesinintellectualizedroboticswelding.Edgedetectionplaysanimportantrolewhenthevisiontechnologyisappliedinintellectualizedweldingroboticstechnologies.Thereareallkindsofnoisesinweldingenvironment.Thealgorithmsincommonusecannotbeappliedtotherecognitionofweldingenvironmentdirectly.Theedgeofimagescanbefellintofourtypes.Theweldimagesareclassifiedbythecharacteristicofweldingenvironmentinthispaper.Thispaperanalyzessomealgorithmsofedgedetectionaccordingtothecharacterofweldingimage,somerelativeadvantagesanddisadvantagesarepointedoutwhenthesealgorithmsareusedinthisfield,andsomesuggestionsaregiven.Thefeatureextractionofweldseamandweldpoolaretwotypicalproblemsintherealizationofintellectualizedwelding.Theiredgefeaturesareextractedandtheresultsshowtheapplicabilityofdifferentedgedetectors.Thetradeoffbetweenprecisionandcalculatedtimeisalsoconsideredfordifferentapplication.

简介：Computervisionhascomeintousedinthefieldsofweldingprocesscontrolandautomation.Inordertoimproveprecisionandrapidityofweldingimageprocessing,anovelmethodbasedonfractaltheoryhasbeenputforwardinthispaper.Comparedwithtraditionalmethods,theimageispreliminarilyprocessedinthemacroscopicregionsthenthoroughlyanalyzedinthemicroscopicregionsinthenewmethod.Withwhich,animageisdivideduptosomeregionsaccordingtothedifferentfractalcharactersofimageedge,andthefuzzyregionsincludingimageedgesaredetectedout,thenimageedgesareidentifiedwithSobeloperatorandcurvedbyLSM(LeaseSquareMethod).Sincethedatatobeprocessedhavebeendecreasedandthenoiseofimagehasbeenreduced,ithasbeentestifiedthroughexperimentsthatedgesofweldseamorweldpoolcouldberecognizedcorrectlyandquickly.

简介：Adual-beamelectronicspecklepatterninterferometry(ESPI)systemwasadoptedtogetspecklepatternsforthemeasurementofweldingdynamicdisplacementfields.Themathematicalmodelofthissystemwasdescribed,basedonwhichmethodsoftheESPIpatternimageprocessingwerediscussed.Graytransformationandhistogramequalizationwereusedtoenhancethecontrastofspecklepatterns.Adiscretecosineimageprocessingmethodwascarriedoutandanexponentlow-passfilterwaschosentoreducemultiplicativenoiseinspecklepatterns.Specklegrainnoisecanbeeliminatedeffectivelyaftertheseprocesses.

简介：ThelateralwaveinultrasonicTOFD(timeofflightdiffraction)imagehasatailintransittime,whichdisturbsthedetectionandevaluationofshallowwelddefect.Meanwhile,thelateralwaveandback-wallechothatactasbackgroundaddredundantdataindigitalimageprocessing.Inordertoseparatedefectwavefromlateralwaveandpreparethewayforfollowingimageprocessing,analgorithmofbackgroundremovalmethodnamedasmean-subtractionisdeveloped.Basedonthis,animprovedmethodbystatisticoftheenergydistributionintheimageisproposed.Theresultsshowthatbychoosingproperthresholdvalueaccordingtotheaxialenergydistributionoftheimage,thebackgroundcanberemovedautomaticallyandthedefectsectionbecomespredominant.Meanwhile,diffractivewaveofshallowwelddefectcanbeseparatedfromlateralwaveeffectively.

简介：Obtainingtheimageofmoltenpoolaluminumalloy'stungsteninertgas(TIG)weldingbecomesachallengingproblemintheweldingfield.Inthispaper,abran-newopticalsensorbasedanalyzingthelightspectrumwasdesigned,andtheclearimageofthemoltenpoolduringthealuminumalloy'sweldingusingthecommonindustrialCCDcamerawasobtained.Andwiththenewalgorithmprovidedbymyself,thedesirablecharacteristicparametersofthemoltenpoolofaluminumalloy'sweldingwereobtained,anditprovidesagoodbaseforadvancedmonitorweldingquality.

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简介：AnexperimentalsetupofacquiringthecoaxialvisualimageofthemoltenpoolandkeyholeinhighpowerNd:YAGlaserweldingisintroducedinthispaper.Itisoneofthemostdifficultproblemsinacquiringcoaxialimagethatthecoaxialimagingsignalofmoltenpoolandkeyholemustbeseparatedfromthelaserbeamwithhighpower.Thisproblemwasresolvedbydesigningadichroiticspectroscope.Thecharacteristicsofimagingsignalwereanalyzedandthecoaxialimageofmoltenpoolandkeyholewasacquired.Asmoothingfilterandahomomorphicfilterweredesignedtoremovethelowfrequencynoiseandtoenhancetheimageaccordingtothecharacteristicsofimagingsignal.Atlast,edgesofmoltenpoolandkeyholeweredetectedandextractedbasedonimagesegmentationwiththreshold.

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