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1、IEEEInternationalConferenceonComputerVision,Corfu,Greece,September1999Textons,ContoursandRegions:CueIntegrationinImageSegmentationJitendraMalik,SergeBelongie,JianboShiandThomasLeungComputerScienceDivisionUniversityofCaliforniaatBerkeleyBerkeley,CA94720fmalik,sjb,jshi,leungtg@c
2、s.berkeley.eduAbstractture.Theseobjectivesarecoupled—cueintegrationreliesThispapermakestwocontributions.Itprovides(1)anon,andthusreveals,theadvantagesofthetextonrepresen-operationalde?nitionoftextons,theputativeelementarytation.unitsoftextureperception,and(2)analgorithmforpar-
3、titioningtheimageintodisjointregionsofcoherentbright-1.1IntroducingTextonsnessandtexture,whereboundariesofregionsarede?nedJuleszintroducedthetermtexton,analogoustoabypeaksincontourorientationenergyanddifferencesinphonemeinspeechrecognition,morethan20yearsago[9]textondensitiesa
4、crossthecontour.astheputativeunitsofpreattentivehumantextureper-Juleszintroducedthetermtexton,analogoustoaception.Hedescribedthemqualitativelyforsimplebi-phonemeinspeechrecognition,butdidnotprovideanoper-narylinesegmentstimuli—orientedsegments,crossingsationalde?nitionforgray-
5、levelimages.Herewere-inventandterminators—butdidnotprovideanoperationalde?-textonsasfrequentlyco-occurringcombinationsoforientednitionforgray-levelimages.Subsequently,textontheorylinear?lteroutputs.ThesecanbelearnedusingaK-meansfellintodisfavorasamodelofhumantexturediscrimina-
6、approach.Bymappingeachpixeltoitsnearesttexton,thetionasaccountsbasedonspatial?lteringwithorientationimagecanbeanalyzedintotextonchannels,eachofwhichandscale-selectivemechanismswhichcouldbeappliedtoisapointsetwherediscretetechniquessuchasVoronoidi-arbitrarygray-levelimagesbecam
7、epopular.agramsbecomeapplicable.Thereisafundamental,wellrecognized,problemwithLocalhistogramsoftextonfrequenciescanbeusedwithlinear?lters.Generically,theyrespondtoanystimulus.Justa2testforsigni?cantdifferencesto?ndtexturebound- becauseyouhavearesponsetoanorientedodd-symmetrica
8、ries.Naturalimagescontainbothtexturedanduntextured?lterdoesn'
