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1、ComputervisionFromWikipedia,thefreeencyclopediaComputervisionisafieldthatincludesmethodsforacquiring,processing,analysing,andunderstandingimagesand,ingeneral,high-dimensionaldata[1][2][3]fromtherealworldinordertoproducenumericalorsymbolicinformation,e.g.,intheformsofdecisions.Athemei
2、nthedevelopmentofthisfieldhasbeentoduplicatetheabilitiesofhumanvisionbyelectronicallyperceivingandunderstandinganimage.[4]Thisimageunderstandingcanbeseenasthedisentanglingofsymbolicinformationfromimagedatausingmodelsconstructedwiththeaidofgeometry,physics,statistics,andlearningtheory
3、.[5]Applicationsrangefromtaskssuchasindustrialmachinevisionsystemswhich,say,inspectbottlesspeedingbyonaproductionline,toresearchintoartificialintelligenceandcomputersorrobotsthatcancomprehendtheworldaroundthem.Thecomputervisionandmachinevisionfieldshavesignificantoverlap.Computervisi
4、oncoversthecoretechnologyofautomatedimageanalysiswhichisusedinmanyfields.Machinevisionusuallyreferstoaprocessofcombiningautomatedimageanalysiswithothermethodsandtechnologiestoprovideautomatedinspectionandrobotguidanceinindustrialapplications.Asascientificdiscipline,computervisionisco
5、ncernedwiththetheorybehindartificialsystemsthatextractinformationfromimages.Theimagedatacantakemanyforms,suchasvideosequences,viewsfrommultiplecameras,ormulti-dimensionaldatafromamedicalscanner.Asatechnologicaldiscipline,computervisionseekstoapplyitstheoriesandmodelstotheconstruction
6、ofcomputervisionsystems.Examplesofapplicationsofcomputervisionincludesystemsfor:Controllingprocesses(e.g.,anindustrialrobot).Navigation(e.g.byanautonomousvehicleormobilerobot).Detectingevents(e.g.,forvisualsurveillanceorpeoplecounting).Organizinginformation(e.g.,forindexingdatabaseso
7、fimagesandimagesequences).Modelingobjectsorenvironments(e.g.,medicalimageanalysisortopographicalmodeling).Interaction(e.g.,astheinputtoadeviceforcomputer-humaninteraction).Automaticinspection,e.g.inmanufacturingapplicationsSub-domainsofcomputervisionincludescenereconstruction,eventde
8、tection,vide
