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1、ComputervisionFromWikipedia,thefreeencyclopediaComputervisionisafieldthatincludesmethodsforacquiring,processing,analysing,andunderstandingimagesand,ingeneral,high-dimensionaldata[1][2][3]fromtherealworldinordertoproducenumericalorsymbolicinformation,e.g.,inth
2、eformsofdecisions.Athemeinthedevelopmentofthisfieldhasbeentoduplicatetheabilitiesofhumanvisionbyelectronicallyperceivingandunderstandinganimage.[4]Thisimageunderstandingcanbeseenasthedisentanglingofsymbolicinformationfromimagedatausingmodelsconstructedwiththe
3、aidofgeometry,physics,statistics,andlearningtheory.[5]Applicationsrangefromtaskssuchasindustrialmachinevisionsystemswhich,say,inspectbottlesspeedingbyonaproductionline,toresearchintoartificialintelligenceandcomputersorrobotsthatcancomprehendtheworldaroundthem
4、.Thecomputervisionandmachinevisionfieldshavesignificantoverlap.Computervisioncoversthecoretechnologyofautomatedimageanalysiswhichisusedinmanyfields.Machinevisionusuallyreferstoaprocessofcombiningautomatedimageanalysiswithothermethodsandtechnologiestoprovideau
5、tomatedinspectionandrobotguidanceinindustrialapplications.Asascientificdiscipline,computervisionisconcernedwiththetheorybehindartificialsystemsthatextractinformationfromimages.Theimagedatacantakemanyforms,suchasvideosequences,viewsfrommultiplecameras,ormulti-
6、dimensionaldatafromamedicalscanner.Asatechnologicaldiscipline,computervisionseekstoapplyitstheoriesandmodelstotheconstructionofcomputervisionsystems.Examplesofapplicationsofcomputervisionincludesystemsfor:Controllingprocesses(e.g.,anindustrialrobot).Navigatio
7、n(e.g.byanautonomousvehicleormobilerobot).Detectingevents(e.g.,forvisualsurveillanceorpeoplecounting).Organizinginformation(e.g.,forindexingdatabasesofimagesandimagesequences).Modelingobjectsorenvironments(e.g.,medicalimageanalysisortopographicalmodeling).Int
8、eraction(e.g.,astheinputtoadeviceforcomputer-humaninteraction).Automaticinspection,e.g.inmanufacturingapplicationsSub-domainsofcomputervisionincludescenereconstruction,eventdetection,vide