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基于LabVIEW的机器视觉在玻璃缺陷检测中的运用 Abstract Machinevisionisincreasinglybeingadoptedinvariousindustriesforinspectionandqualitycontrolpurposes.Onesuchapplicationisthedetectionofdefectsinglass,whichisacriticalprocessinensuringthesafetyandreliabilityofglass-basedproducts.LabVIEWisapopularandcustomizablesoftwareplatformfordevelopingmachinevisionapplications.ThispaperpresentsacomprehensiveoverviewoftheuseofLabVIEW-basedmachinevisionforglassdefectdetection.Thepaperincludesaliteraturereviewoftheexistingresearchworkdoneinthisfield.Anoverviewoftheimageprocessingtechniquesusedfordefectdetection,suchasthresholding,edgedetection,andmorphologyarealsodiscussed.Finally,wepresentasummaryofthedifferentLabVIEWtoolsandfunctionalitiesusedfordefectdetection,andthefutureoutlookofthistechnologyintheglassmanufacturingindustry. Introduction Glassmanufacturingisacomplexprocessthatrequiresprecisioninthemanufacturing,inspection,andqualitycontrolstages.Anydefectsinglasscanleadtoreducedstrength,safetyhazards,andfailureoftheproduct.Hence,thedetectionofdefectsinglassisacriticalprocessthatneedstobetackledeffectively.Traditionally,visualinspectionisusedfordefectdetection,butitistime-consumingandpronetohumanerrors.Hence,machinevisionhasemergedasapopularandeffectivesolutionforautomatedglassdefectdetection. Machinevisioninvolvestheuseofcamerasandimageprocessingalgorithmstoacquireandanalyzeimagesofsampleobjectsforinspectionandevaluation.TheuseofLabVIEWsoftwarehelpstoprovideaflexible,customizable,andcomprehensiveplatformfordevelopingmachinevisionapplications.LabVIEW-basedmachinevisionsystemsofferacompleteandsystematicsolutionforglassdefectdetectionthatenableshigh-speed,accurate,andconsistentresults. ThispaperaimstoprovideanoverviewoftheuseofLabVIEW-basedmachinevisionforglassdefectdetection.ItexplainstheimageprocessingtechniquesusedfordefectdetectionandtheadvantagesofusingLabVIEWsoftwarefordevelopingsuchsystems. LiteratureReview Therehavebeennumerousresearchstudiesandpublicationsonthedetectionofglassdefectsusingmac