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1、PatternRecoonition,Vol.29,No.l,pp.5159,1996PergamonElsevierScienceLtdCopyright©1996PatternRecognitionSocietyPrintedinGreatBritain.Allrightsreserved0031-3203/96$15.00+.000031-3203(95)00067-4ACOMPARATIVESTUDYOFTEXTUREMEASURESWITHCLASSIFICATIONBASEDONFEATURED
2、ISTRIBUTIONSTIMOOJALA,*MATTIPIETIKAINEN*tandDAVIDHARWOOD:~*DepartmentofElectricalEngineering,UniversityofOulu,FIN-90570Oulu,FinlandCenterforAutomationResearch,UniversityofMaryland,CollegePark,MD20742,U.S.A.(Received19January1994;inrevisedform11April1995;ac
3、ceptedforpublication15May1995)Abstract--Thispaperevaluatestheperformancebothofsometexturemeasureswhichhavebeensuccess-fullyusedinvariousapplicationsandofsomenewpromisingapproachesproposedrecently.Forclassifica-tionamethodbasedonKullbackdiscriminationofsamp
4、leandprototypedistributionsisused.Theclassificationresultsforsinglefeatureswithone-dimensionalfeaturevaluedistributionsandforpairsofcomplementaryfeatureswithtwo-dimensionaldistributionsarepresentedTextureanalysisClassificationFeaturedistributionBrodatztext
5、uresKullbackdiscriminantPerformanceevaluationl.INTRODUCTIONtheliteratureandcompletesthestudycarriedoutbyOhanianandDubes.Textureisanimportantcharacteristicfortheanalysisofmanytypesofimages.Awidevarietyofmeasuresfordiscriminatingtextureshavebeenproposed,c1'2
6、~Com-2.TEXTUREMEASURESUSEDINTHISSTUDYparativestudiestoevaluatetheperformanceofsometexturemeasureshavebeencarriedoutbyWeszka2.1.Gray-leveldifferencemethodetal.,~3~DuBufetal.~4~andOhanianandDubes,~s)forAclassoflocalpropertiesbasedondifferencesexample.between
7、pairsofgraylevelsorofaveragegraylevelsMostoftheapproachestotextureanalysisquantifyhasbeensometimesusedintextureanalysis,t3,7~Ourthetexturemeasuresbysinglevalues(means,variancesfeaturesetcontainedfourmeasuresbasedonthegray-etc.).Thesevaluesareusedaselements
8、offeatureleveldifferencemethod:DIFFXandDIFFYarehisto-vectorsinperformingclassification.Inthiswaymuchgramsofabsolutegray-leveldifferencesbetweenimportantinformationcontainedinthedistributionsneighboringpixelsc
