Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation.pdf

Geodesic Active Regions and Level Set Methods for Supervised Texture Segmentation.pdf

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1、InternationalJournalofComputerVision46(3),223–247,2002c2002KluwerAcademicPublishers.ManufacturedinTheNetherlands.GeodesicActiveRegionsandLevelSetMethodsforSupervisedTextureSegmentation?NIKOSPARAGIOSImagingandVisualizationDepartment,SiemensCorporateResearch,Princeton,NJ08540

2、,USAnikos@scr.siemens.comRACHIDDERICHEComputerVisionandRoboticsGroup(RobotVis),I.N.R.I.A.SophiaAntipolis,06902,Franceder@sophia.inria.frReceivedNovember5,1998;RevisedAugust30,2001;AcceptedSeptember28,2001Abstract.Thispaperpresentsanovelvariationalframeworktodealwithframepart

3、itionproblemsinComputerVision.Thisframeworkexploitsboundaryandregion-basedsegmentationmodulesunderacurve-basedoptimizationobjectivefunction.Thetaskofsupervisedtexturesegmentationisconsideredtodemonstratethepotentialsoftheproposedframework.Thetexturedfeaturespaceisgeneratedby

4、?lteringthegiventexturedimagesusingisotropicandanisotropic?lters,andanalyzingtheirresponsesasmulti-componentconditionalprobabilitydensityfunctions.Thetexturesegmentationisobtainedbyunifyingregionandboundary-basedinformationasanimprovedGeodesicActiveContourModel.Thede?nedobje

5、ctivefunctionisminimizedusingagradient-descentmethodwherealevelsetapproachisusedtoimplementtheobtainedPDE.AccordingtothisPDE,thecurvepropagationtowardsthe?nalsolutionisguidedbyboundaryandregion-basedsegmentationforces,andisconstrainedbyaregularityforce.Thelevelsetimplementat

6、ionisperformedusingafastfrontpropagationalgorithmwheretopologicalchangesarenaturallyhandled.Theperformanceofourmethodisdemonstratedonavarietyofsyntheticandrealtexturedframes.Keywords:supervisedtexturesegmentation,Gabor?lters,mixtureanalysis,GeodesicActiveContours,propa-gatio

7、nofcurves,levelsetmethods1.Introductionmentationinformationandapplyittotheproblemoftexturesegmentation.Inthisapplication,thetaskFramepartitionproblemsareamongthemostimpor-istopartitiontheimageintoanumberofregionstantproblemsinmanyimageanalysisandcomputersuchthateachregionhas

8、thesametexturalpropertiesvisionapplications.Thisarticleprovidesageneral(Jai

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