A machine vision approach to seam tracking in real-time in PAW of large-diameter stainless steel tube-中国Betway体育网页登陆

摘要 Manualmonitoringandseamtrackingthroughwatchingweldpoolimagesinreal-time,bynakedeyesorbyindustrialTV,areexperience-depended,subjective,laborintensive,andsometimesbiased.Soitisnecessarytorealizetheautomationofcomputer-aidedseamtracking.APAW(plasmaarcwelding)seamtrackingsystemwasdeveloped,whichsensesthemoltenpoolandtheseaminoneframebyavisionsensor,andthendetectstheseamdeviationtoadjusttheworkpiecemotionadaptivelytotheseampositionsensedbyvisionsensor.Anovelmoltenpoolareaimage-processingalgorithmbasedonmachinevisionwasproposed.Thealgorithmprocesseseachimageatthespeedof20frames/secondinreal-timetoextractthreefeaturevariablestogettheseamdeviation.Itisprovedexperimentallythatthealgorithmisveryfastandeffective.Issuesrelatedtothealgorithmarealsodiscussed.

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A machine vision approach to seam tracking in real-time in PAW of large-diameter stainless steel tube

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