预览加载中,请您耐心等待几秒...
1/3
2/3
3/3

在线预览结束,喜欢就下载吧,查找使用更方便

如果您无法下载资料,请参考说明:

1、部分资料下载需要金币,请确保您的账户上有足够的金币

2、已购买过的文档,再次下载不重复扣费

3、资料包下载后请先用软件解压,在使用对应软件打开

一种VFD面板字符显示缺陷检测的新方法 Title:ANovelMethodforVFDPanelCharacterDisplayDefectDetection Abstract: Visualdisplaytechnologyisanessentialcomponentinvariouselectronicdevicessuchasdigitalclocks,measuringinstruments,andindustrialequipment.VacuumFluorescentDisplay(VFD)panelsarewidelyusedduetotheirhighbrightness,widetemperaturerange,andlonglifespan.However,ensuringthequalityandreliabilityofVFDpanelsiscriticaltoavoiddefectsthatcouldcompromisetheirperformance.ThispaperpresentsanovelmethodforVFDpanelcharacterdisplaydefectdetection,whichcombinescomputervisiontechniquesandmachinelearningalgorithmstoautomatetheinspectionprocess.Theproposedmethoddemonstratespromisingresultsinaccuratelydetectingandclassifyingvarioustypesofdefects,providinganeffectivesolutionforqualitycontrolinVFDpanelmanufacturing. 1.Introduction TheintroductionprovidesanoverviewofVFDpanels,theirapplications,andtheneedfordefectdetection.Italsohighlightsthechallengesfacedbytraditionalmanualinspectionmethodsandtheimportanceofdevelopinganautomateddefectdetectionsystem. 2.RelatedWork ThissectionexplorestheexistingapproachesandtechniquesusedforVFDpaneldefectdetection.Itdiscussesthelimitationsandshortcomingsofthesemethods,emphasizingtheneedforamoreefficientandaccuratesolution. 3.ProposedMethodology Theproposedmethodologyoutlinesthestepsinvolvedinthenoveldefectdetectionsystem.Itincludesthefollowingcomponents: 3.1ImageAcquisition Theprocessofcapturinghigh-resolutionimagesoftheVFDpanelusingadigitalcameraoranimagingdeviceisdiscussed.Theimportanceofproperlightingconditionsandcamerasettingsisalsoemphasized. 3.2Preprocessing Thisstepinvolvesimageenhancementtechniquessuchasnoisereduction,contrastadjustment,andimageresizingtoimprovethequalityandaccuracyofsubsequentanalysis. 3.3CharacterSegmentation ThecharactersdisplayedontheVFDpanelaresegmentedfromthebackgroundusingtechniquessuchasthresholding,edgedetection,andmorphologicaloperations. 3.4FeatureExtraction Thissectionfocusesonextractingrelevantfeaturesfromthesegmentedcharacters,suchaspi