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1、附录2：外文翻译RobustAnalysisofFeatureSpaces:ColorImageSegmentationAbstractAgeneraltechniquefortherecoveryofsignificantimagefeaturesispresented.Thetechniqueisbasedonthemeanshiftalgorithm,asimplenonparametricprocedureforestimatingdensitygradients.Drawbacksofthecurrentmethods(includingrobustclus
2、tering)areavoided.Featurespaceofanynaturecanbeprocessed,andasanexample,colorimagesegmentationisdiscussed.Thesegmentationiscompletelyautonomous,onlyitsclassischosenbytheuser.Thus,thesameprogramcanproduceahighqualityedgeimage,orprovide,byextractingallthesignificantcolors,apreprocessorforc
3、ontent-basedquerysystems.A512512colorimageisanalyzedinlessthan10secondsonastandardworkstation.Graylevelimagesarehandledascolorimageshavingonlythelightnesscoordinate.Keywords:robustpatternanalysis,low-levelvision,content-basedindexing1IntroductionFeaturespaceanalysisisawidelyusedtoolfors
4、olvinglow-levelimageunderstandingtasks.Givenanimage,featurevectorsareextractedfromlocalneighborhoodsandmappedintothespacespannedbytheircomponents.Significantfeaturesintheimagethencorrespondtohighdensityregionsinthisspace.Featurespaceanalysisistheprocedureofrecoveringthecentersofthehighd
5、ensityregions,i.e.,therepresentationsofthesignificantimagefeatures.Histogrambasedtechniques,Houghtransformareexamplesoftheapproach.Whenthenumberofdistinctfeaturevectorsislarge,thesizeofthefeaturespaceisreducedbygroupingnearbyvectorsintoasinglecell.Adiscretizedfeaturespaceiscalledanaccum
6、ulator.Wheneverthesizeoftheaccumulatorcellisnotadequateforthedata,seriousartifactscanappear.TheproblemwasextensivelystudiedinthecontextoftheHoughtransform,e.g..Thus,forsatisfactoryresultsafeaturespaceshouldhavecontinuouscoordinatesystem.Thecontentofacontinuousfeaturespacecanbemodeledasa
7、samplefromamultivariate,multimodalprobabilitydistribution.Notethatforrealimagesthenumberofmodescanbeverylarge,oftheorderoftens.Thehighestdensityregionscorrespondtoclusterscenteredonthemodesoftheunderlyingprobabilitydistribution.Traditionalclusteringtechniques,canbeusedforfeatur
