基于Halcon的硒鼓缺陷检测与一维尺寸测量

323Vol．32No．320145JournalofJilinUniversityInformationScienceEditionMay20141671-5896201403-0308-08Halcon2013-06-202011C110451989—[e-mail]1966—[e-mail]。316000Halcon．NET。1～2、。TP391ADefectDetectionandOne-DimensionalSizeMeasurementofTonerCartridgeBasedonHalconZHUXianfengPANHongjunSchoolofMathematicsPhysicsandInformationScienceZhejiangOceanUniversityZhoushan316000ChinaAbstractSurfacedefectdetectionandsizemeasurementofthetonercartridgeisanimportantparttodeterminewhetheritisqualified．Toachievethisaspectofworkautomationthetonercartridgesurfacepointdefectsandlinedefectsareaccuratelydetectedandclassifiedbymathematicalmorphologyoperatorsofimageprocessingalgorithmsanditssizeispreciselymeasuredaccordingtosub-pixelmeasurements．ThecartridgeautomaticdefectdetectionandsizemeasurementsystemisdevelopedbythespecialmachinevisionsoftwareHalconand．NET．Testingshowsthatthesystemhasahighaccuracyspeedstabilityandotherdistinctivecharacteristics．Keywordsmorphologyoperatordefectdetectionsub-pixelmeasurement0引言1、CT234。。、、、。。、。Halcon．NETblob、、、、、、。56Halcon、。Halcon。1系统流程5、、、。1。图1机器视觉检测系统流程图Fig．1Flowchartofmachinevisioninspectionsystem2基于Halcon的硒鼓缺陷检测与一维尺寸测量2．1图像采集图2硒鼓源图Fig．2Sourceimageofthetonercartridge78。1read_image2open_framegrabbergrab_image。910。2。2．2图像预处理2．2．1图像灰度化ＲGB3ＲGBrgb1_to_grayg=0．299Ｒ+0．587G+0．114B1gＲGB。。2．2．2图像分解ＲGB3decompose33Ｒ、G、B。Ｒ。2．2．3图像去噪11。12、13。9033Halcon2．2．4亚像素级边缘提取图3硒鼓亚像素边缘Fig．3Sub-pixeledgeofthetonercartridgeedges_sub_pixGrayImageEdges‘lanser2’0．12040lanser214。edges_sub_pix。3。2．3硒鼓缺陷检测2．3．1图像平滑change_domainreduce_domain。。15g'xy=1n∑xy∈Dgxy2Dngxyg'xy。。11×11。。2．3．2动态阈值二值化。16。go≥gt+f。gogtf。5＜f＜40fff=8。。C。C01C1C0．281C0．010．28。C=F/Dmax∧2π3图4缺陷精确提取效果图Fig．4ＲenderingsofaccuratelyextractingdefectsFDmaxπ。2．3．3缺陷检测4。56。78。01332图5点缺陷图6线缺陷Fig．5PointdefectsFig．6Linedefects图7源图点缺陷图8源图线缺陷Fig．7PointdefectsofsourceimageFig．8Linedefectsofsourceimage2．4硒鼓一维尺寸测量Halcon17。2．4．1ＲegionofInterest(ＲOI)内边缘提取fit_rectangle2_contour_xldSelectedXLD‘regression’－10032ＲowColumnPhiLength1Length2PointOrder2．2．4。Phigen_rectangle2ＲOIＲowColumnPhi+rad90Length11Length21ＲOI9。ＲOI。10。图9矩形感兴趣区图10ＲOIFig．9ＲegionofinterestFig．10Ｒegionofinterestgen_measure_rectangle2ＲowColumnPhiLength11Length21WidthHeightInterpolationMeasureHandleMeasureHandle。。。318、1920。1133Halcon。4。。4。11图11双线性插值原理Fig．11Bilinearinterpolationprinciple00、01、10、114f00f10Xx0fx0f01f11Xx1fx1fx0fx1Yxyfxy。。。xi－1xiyi－1yi161xx2x31yy2y[]3=1yy2y3xxyxy2xy3x2x2yx2y2x2y3x3x3yx3y2x3y34Lxy=m1+m2x+m3y+m4x2+m5xy+m6y2+m7x3+m8x2y+m9xy2+m10y3+m11x3y+m12xy3+m13x2y2+m14x3y2+m15x2y3+m16x3y35xi－1yi－1、xi－1yi、xiyi－1、xiyi4fxi－1yi－1、fxi－1yi、fxiyi－1、fxiyi1616。。3。ＲOI。measure_projectionImageMeasureHandleGrayValuescreate_funct_1d_arrayGrayValuesFunction。W。12131415。ＲOI。ＲOIＲOI。图12ＲOI宽度W=20像素图13ＲOI宽度W=80像素Fig．12ＲOIofW=20pixelFig．13ＲOIofW=80pixel21332图14ＲOI宽度W=20，未平滑图15ＲOI宽度W=80，未平滑Fig．14ＲOIofW=20，nosmoothingFig．15ＲOIofW=80，nosmoothingsmooth_funct_1d_gaussFunctionSSmoothedFunctionS=6。1617measure_pairsImageMeasureHandleSThresholdTransitionSelectＲowEdgeFirstColumnEdgeFirstAmplitudeFirstＲowEdgeSecondColumnEdgeSecondAmplitudeSecondIntraDistanceInterDistanceS。derivate_funct_1dFunctionModeDerivative18。S=11818。图16ＲOI宽度W=20，S=6图17ＲOI宽度W=80，S=6Fig．16ＲOIofW=20，S=6Fig．17ＲOIofW=20，S=6。。101018。。19ＲOI。图18ＲOI宽度W=80，S=1图19检测到的结果边缘Fig．18ＲOIofW=80，S=1Fig．19Detectededges2．4．2硒鼓的一维尺寸测量2．4．1measure_pairsImageMeasureHandleSigmaThresholdTransitionSelectＲowEdgeFirstColumnEdgeFirstAmplitudeFirstＲowEdgeSecondColumnEdgeSecondAmplitudeSecondIntraDistanceInterDistance3133HalconIntraDistance。。2021。图20硒鼓直径图21硒鼓长度Fig．20DiameterofthetonercartridgeFig．21Lengthofthetonercartridge2．5软件集成HalconHalcon．NET．NETHalconHalcon．NET。3结语。。3～4。。1．J．200813101396-1398．LIULiboZHAOHuiZHANGHaibo．ＲesearchonSpotSubdividedLocatingMethodinLaserTriangulationMeasurementJ．ComputerMeasurement＆Control200813101396-1398．2．J．CT199522451-58．XIANWuLIShiguangWANGYa．TheOptimalNondestructiveTestingApproachJ．IndustrialCTTechnologyDevelopment199522451-58．3．M．2000．JIAYunde．MachineVisionM．BeijingSciencePress2000．4．J．200527211-17．ZHANGWei．MachineVisionTechnologyandItsIndustrialApplicationsJ．Infrared200527211-17．5．D．2004．ＲENHuorong．MathematicalMorphologyandItsApplicationsD．Xi'anSchoolofMechanicalEngineeringXi'anUniversity2004．6．J．20043289-92．WANGShuwenYANChengxinZHANGTianxuetal．TheApplicationofMathematicalMorphologyinImageProcessingJ．ComputerEngineeringandApplications20043289-92．7．J．2003118-21．LIUHuanjunWANGYaonanDUANFeng．ImageCaptureTechnologyinMachineVisionJ．ComputerandInformationTechnology2003118-21．8．J．20051136-138141．ZHUZhengtaoLIShaofa．LensDistortionandItsCorrectionTechnologyJ．OpticalTechnology20051136-138141．413329HENＲIMAITＲEWＲITE．M．．2006190-210．HENＲIMAITＲEWＲITE．ModernDigitalImageProcessingM．BeijingElectronicIndustryPress2006190-210．10．J．200026143-55．QIUMaolinMASongdeLIYi．OverviewofCameraCalibrationforComputerVisionJ．ActaAutomaticaSinica200026143-55．11．D．2008．LIBo．NoiseCancellationAlgorithmofDigitalImageD．QufuS