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lompiacv
Posted: Thu 8:51, 02 Dec 2010
Post subject: puma speed cats Based on mathematical morphology s
Based on mathematical morphology scale space of linear strip mining
pplMath, 1981,40 (2): 339 [5] LindebergT. Scale-space: aframeworkforhandlingim-agestructuresatmultiplescales. In: ProcCERNSchoolofComputering,
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, EgmondaanZee, Netherlands: 19968 [6] PostaireJG, ZhangRD, LecocqBC. IEEE \IEEETransaction071PatternAnalysisandMachineIntelligence, 1989,11 (7): 701 [8] Di Kai Chang, Li Deren, Li Deyi. Image and Graphics, 1998,3 (3): 173 [9] EsterM, KriegelHP, SanderJ, eta1. Adensity-basedalgorithmfordiscoveringclustersinlargespatialdatabases, vithnoise. In: ProeoftheSecondInternationalConfer-enceonKnowledgeDiscoveryandDataMining, Port-land, Oregon: 1996.324 [10] Center for Analysis and Prediction,
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, State Seismological Bureau. East China earthquake catalog. Beijing: Earthquake Press, 1980 [11] Center for Analysis and Prediction,
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, State Seismological Bureau. Western China earthquake catalog. Beijing: Earthquake Press, 1989AMathematicalMorphologicalScaleSpaceBasedMethodforLinearBeltsExtractingWangMin, ZhouChenghu, PeiTao, LuoJiancheng (StateKevLaboratoryofResourcesandEnvironmentInformationSystem, InstituteofGeographyiencesandNatura1ResourcesResearch, ChineseAcademyofSci.ences, Beijing100101) AbstractOnespatialdataminingmethodL-MSCMOforlinearbeltsextractingisprotx) sed. LMSCMOcanbedi-videdintotwobasicsteps: firstly, themostsuitablere-segmentingscaleisfoundbyourclusteringalgorithmMSCMOwhichiasedonmathematicalmorphologicalscalespace; secondly, thesegmentedresultatthisscaleisre-segmentedtoobtainthefinallinearbelts. TheauthorsdeclarethatLMSCMOisarobustminingmethodtoseHli-linearclustersandnoises, whichisvalidatedbythesuccessfulextractionofseismicbelts ・ Kevwords: MathematiCalmorphology, Scalespace,
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, Spatialdatamining, Linearbelt, Seismicht
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