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1、201710thInternationalConferenceonIntelligentComputationTechnologyandAutomationTheAlgorithmResearchofDetectionBaseonMachineVisionWuYouyu,ZhaoGuangxiong,LiChengjun*,KuangXingzeKeyLaboratoryofFiberOpticSensingTechnologyandInformationProcessing(WuhanUniversityofTechnology),MinistryofEduc
2、ation,Wuhan,430070,China*correspondingauthor’semail:wuyouyu1@whut.edu.cnAbstract—Basedontheanalysisofthesurfacecharacteristicstechnologyhasthecharacteristicsoflowcost,smallofsolarcells,solarcellssurfacedefectsdetectionschemebasedfootprint,fastspeed,non-contactdetection,stronganti-onm
3、achinevisionisproposed.Itiscomparedbetweentheinterferenceability,lowenergyconsumptionandhighpefectsolarcellandthebatterytobedetected,andthendetectionprecision.Surfacedefectdetectiontechnologysurfacedefectsisanalyzed.Thefirst,thecontourstrackingisbasedonmachinevisiontheoryhasgradually
4、becometherealised,andthedefectsofthecells,suchasholes,fragmentsfocusofscientificresearchandindustrialtestingtechnologyandbreakagearedetermined.Secondly,Inordertodevelopment[8].identificationoftheedgebreakage,theaffinetransformationThedefectdetectionmethodbasedonmachinevisionmethodisu
5、sed,Andthenthepresenceorabsenceoftheedgetechnologymakesthesurfacedefectdetectiontechnologybreakageofthecellsheetisdeterminedbyadifferentialtowardahighdegreeofautomation,processingpower,acomparisonwiththebinaryimageofthestandardtemplate.widerangeofidentificationandotherdirection[9].Ho
6、wever,withtheimprovementofindustrialproductionlevel,theKeywords-Macinevision;Surfacedefects;Contours;productioncapacityofsolarcellindustryisrapidlyincreasing.Inthiscontext,themanufacturersinthepursuitI.INTRODUCTIONofproductionqualityatthesametimeonthesurfacedefectInrecentyears,inorde
7、rtoreducecostsandincreasedetectionsystemputforwardsomenewneeds:on-lineproductioncapacity,thesolarcellmanufacturersreducethedetection,morerapidProcessingcapacity,identificationofthicknessofcrystallinesilicon,increasingtheutilizationofdifferentgesturesunderthebatteryandintelligentdetec
8、tion.crystal
