基于图像的PCB板的在线检测

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1、中南大学硕士学位论文基于图像的PCB板的在线检测姓名：尹迎菊申请学位级别：硕士专业：计算机技术指导教师：罗大庸20080701AbstractPCBisveryimportantinmodemelectronicequipment，itsquaiityhasdirectimpacttotheproductfunction，Atpresent，PCBqualityinspectingiscompletedmostlyfrommanpowervisualmeasurement，andthemistakecheckuphappenedandmisse

2、s．PCBindustryneedstheonlineautomationdetectingthereforeurgently．OwingtOthattheimagePCBcheckssystemonline，mainly,thepretreatment，borderdetecting．thePCBallocationandblemishimagedetectingincludingimageacquisition，theimagedistinguishseverallinks．Priorityhaswrittenthemainbodyofab

3、ookwithregardtoseveralthefollowingproblemsstudyingconcretely：Theimagepretreatmentispremiseandbasischeckingsystemonline，Thearticleusesmiddlevaluewavefilteringlawandmeanvaluewavefilteringimprovingtofollowthenoisedislodgingallimage，AlgorithmicimageofLaplace·basedstrengthening，A

4、doptmaximalkindroommethoddifferencetofollowthevaluecarryingouttwoonPCBspendingtreatment；PCBimageedgedetectingstudiesmiddle．Ⅱlemainbodyofabookadoptthebecauseofall—direction，manydimensionmathematicsmorphologicalapproachdetectingimagebordertolaw；OnthePCBallocation，ImprovementHo

5、ughmethodthemainbodyofabookisappliedgivesatesttocircularPCBallocationsign，hasstudiedandtheconcreterealizationalgorithm，goodbythefactthattheexpefimemtestifiesthismethodistocomparealgorithm；InthePCBblemishdistinguishing，themethodbasedonmultipyformboardreferenceblemishesinspect

6、upoutmethod，havereservedthereferencecomparisonmethodadvantageonspeedandhighlyimprovedthesystematicdetectingability；thebasedonmul．boardimagestructurecharacteristicsyntaxstructureblemishdistinguishesmethodusesmathematicsmorphologytheorytoabstrai：ttheformboardimagestmcnlrechara

7、cteristic。andthecombinationbetweenthestructurecharacteristicsandthesyntaxstructureblemishdistinguishingisbeneficialtoimprovingblemishpattemrecognitionspeedandaccuracy,havinganarithmeticsmall，calculatethequickcharacteristicofspeed．KEYWORDSPrintingcircuitboard，houghtransform，M

8、athematicsmorphology,MuchformboardconsultscomparisonmethodII原创性声明本人声明，所呈交的学