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:1671-3559(2004)03-0222-06:2003-12-17:(SY0101):(1966-),,,,1,2,2,2(11,250022;21,300072):,,,:;;:TP212:A,80%(Image),,(),:,,,,,,,1:,[1],,,,[2];[3,4];,,,,;,;1.1,,,,,;,,,,18320049()JOURNALOFJINANUNIVERSITY(Sci.&Tech1)Vol.18No.3Sep.2004:;,,,;,,,(),;,,,1.2(Snakes)[1]Snakes,,,,,,,,,,,,,,,,1.3,,,,,,,,:,;;,,,,,,///2,,,,:(1);(2);(3),2.12.1.1RobertsRoberts,3223,:,,[5]2.1.22070,,,,,Marr,,ShapefromX:(1)LoG;(2);(3)ShapefromX(X);(4)[5]2.1.32090,,,,,8090,,2.2,,,,,,,,,,,,,,,,,,,/,,,,,,,[5],(biometrics),,,,,(),,422()182.3,,,:(MSE)(PSNR),,,,,:[6],(HVS):,,,,,(regionofinterest,ROI)ROI,,,,,,,HVS,[7]2.42.4.1CCD,1,1,,,[8]222.4.23,O,LR,f,OOlOr,Od3d=bf/(m+n)(1)m+nO,,bfbf,OOlOr,[9]4PC,PCPCI,A/DPCI5223,:4,,,,,,(1),[9]2.4.3,,(CMM),[10],55[11](),,,,,,,,,:;,[12,13]2.4.4(),3D,,,CAD/CAM,CAMNCCNC,,,CCD(chargecoupleddevice),:,66,,,,,CCD,CCD,,,,,,(pixel),[14]340,622()18,,,,,,,,,,,,;,,,,,80%,,,40,,,,,,,,,:[1],.[J].,2000,19(5):1-5.[2],,.SARRayleigh[J].,1999,21(2):219-225.[3]TianB,ShaikhMA,Azii-SadjadiMR,etal.AStudyofCloudClassificationwithNeuralNetworksUsingSpectralandTexturalFea2tures[J].IEEETrans.NeuralNetworks,1999,10(1):138-151.[4],.[J].,1999,4A(12):1072-10771[5].[J].,2000,19(5):7-12.[6]KarunasekaSA,etal.Adistortionmeasureforblockingartifactsinimagebasedonhumanvisualsensitivity[J].IEEETrans,IP,1995,4(6):713-724.[7],JariA.Kangas.[J].,2000,19(5):14-16.[8].[J].,2000,19(5):17-19.[9],,.PCI[J].,2000,19(2):52-54.[10],,,.IVECO[J].,2000,21(1):28-33.[11].[D].:,19961[12],,,1[J].,1998,(7):6-8.[13].[J].,1993,16(4):337-340.[14].3D[M].:,20021DevelopmentandApplicationResearchofComputerVisionDetectionTechniqueMAYu-zhen1,HULiang2,FANGZhi-qiang2,CAOSu-zhi2(1.SchoolofMechanicalEngineering,JinanUniversity,Jinan250022,China;2.SchoolofPrecisionInstrument,TianjinUniversity,Tianjin300072,China)Abstract:Imagedivisionisoneofthebasicproblemsofimageprocessingandcomputervision.Theparticularcontentsandfamiliarimagedivisionmethodsweresummarized,andtheresearchcontentsandmethodsofcomputervisiontechniquewerealsointroduced.Thetypicalapplicationsofcomputervisiondetectiontechniqueinimagecollectionsystem,solidvisionmeasurementsystem,carbodyvisiondetectionsystemandconverseengineeringwerepresentedmostly.Thequestionsexistinginthecomputervisiontechniquewereana2lyzedfinally.Keywords:imagedivision;computervision;imageprocessing7223,:
本文标题:计算机视觉检测技术的发展及应用研究
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