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1、ComputervisionFromWikipedia,thefreeencyclopediaComputervisionisafieldthatincludesmethodsforacquiring,processing,analysing,andunderstandingimagesand,ingeneral,high-dimensionaldata[1][2][3]fromtherealworldinordertoproducenumericalorsymbolicinformation,e.g.,inthefor
2、msofdecisions.Athemeinthedevelopmentofthisfieldhasbeentoduplicatetheabilitiesofhumanvisionbyelectronicallyperceivingandunderstandinganimage.[4]Thisimageunderstandingcanbeseenasthedisentanglingofsymbolicinformationfromimagedatausingmodelsconstructedwiththeaidofgeo
3、metry,physics,statistics,andlearningtheory.[5]Applicationsrangefromtaskssuchasindustrialmachinevisionsystemswhich,say,inspectbottlesspeedingbyonaproductionline,toresearchintoartificialintelligenceandcomputersorrobotsthatcancomprehendtheworldaroundthem.Thecomputer
4、visionandmachinevisionfieldshavesignificantoverlap.Computervisioncoversthecoretechnologyofautomatedimageanalysiswhichisusedinmanyfields.Machinevisionusuallyreferstoaprocessofcombiningautomatedimageanalysiswithothermethodsandtechnologiestoprovideautomatedinspectio
5、nandrobotguidanceinindustrialapplications.Asascientificdiscipline,computervisionisconcernedwiththetheorybehindartificialsystemsthatextractinformationfromimages.Theimagedatacantakemanyforms,suchasvideosequences,viewsfrommultiplecameras,ormulti-dimensionaldatafroma
6、medicalscanner.Asatechnologicaldiscipline,computervisionseekstoapplyitstheoriesandmodelstotheconstructionofcomputervisionsystems.Examplesofapplicationsofcomputervisionincludesystemsfor:Controllingprocesses(e.g.,anindustrialrobot).Navigation(e.g.byanautonomousvehi
7、cleormobilerobot).Detectingevents(e.g.,forvisualsurveillanceorpeoplecounting).Organizinginformation(e.g.,forindexingdatabasesofimagesandimagesequences).Modelingobjectsorenvironments(e.g.,medicalimageanalysisortopographicalmodeling).Interaction(e.g.,astheinputtoad
8、eviceforcomputer-humaninteraction).Automaticinspection,e.g.inmanufacturingapplicationsSub-domainsofcomputervisionincludescenereconstruction,eventdetection,vide
