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1、ComputervisionFromWikipedia,thefreeencyclopediaComputervisionisafieldthatincludesmethodsforacquiring,processing,analysing,andunderstandingimagesand,ingeneral,high-dimensionaldata[1][2][3]fromtherealworldinordertoproducenumericalorsymbolicinformation,e.g.,intheformsofd
2、ecisions.Athemeinthedevelopmentofthisfieldhasbeentoduplicatetheabilitiesofhumanvisionbyelectronicallyperceivingandunderstandinganimage.[4]Thisimageunderstandingcanbeseenasthedisentanglingofsymbolicinformationfromimagedatausingmodelsconstructedwiththeaidofgeometry,phys
3、ics,statistics,andlearningtheory.[5]Applicationsrangefromtaskssuchasindustrialmachinevisionsystemswhich,say,inspectbottlesspeedingbyonaproductionline,toresearchintoartificialintelligenceandcomputersorrobotsthatcancomprehendtheworldaroundthem.Thecomputervisionandmachin
4、evisionfieldshavesignificantoverlap.Computervisioncoversthecoretechnologyofautomatedimageanalysiswhichisusedinmanyfields.Machinevisionusuallyreferstoaprocessofcombiningautomatedimageanalysiswithothermethodsandtechnologiestoprovideautomatedinspectionandrobotguidanceini
5、ndustrialapplications.Asascientificdiscipline,computervisionisconcernedwiththetheorybehindartificialsystemsthatextractinformationfromimages.Theimagedatacantakemanyforms,suchasvideosequences,viewsfrommultiplecameras,ormulti-dimensionaldatafromamedicalscanner.Asatechnol
6、ogicaldiscipline,computervisionseekstoapplyitstheoriesandmodelstotheconstructionofcomputervisionsystems.Examplesofapplicationsofcomputervisionincludesystemsfor:Controllingprocesses(e.g.,anindustrialrobot).Navigation(e.g.byanautonomousvehicleormobilerobot).Detectingeve
7、nts(e.g.,forvisualsurveillanceorpeoplecounting).Organizinginformation(e.g.,forindexingdatabasesofimagesandimagesequences).Modelingobjectsorenvironments(e.g.,medicalimageanalysisortopographicalmodeling).Interaction(e.g.,astheinputtoadeviceforcomputer-humaninteraction).
8、Automaticinspection,e.g.inmanufacturingapplicationsSub-domainsofcomputervisionincludescenereconstruction,eventdetection,vide
