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- W2186500372 abstract "Texture features basedonwavelet transform are thedirection ofeigenvector corresponding tomaximum sensitive totexture rotation andtranslation. Thispaper develops eigenvalue. Onceitsangle isknown,anegative rotation is a newrotation invariant texture analysis technique usinggiven toalign thetexture toaparticular orientation forany Principal Components Analysis (PCA)andwavelet transform. 0. to1800. Thenthewavelet transform ThePCA isfirst usedtocalculate theangle oftheprincipal direction ofthetexture. Then,thetexture isrotated inthe isapplied togetthesignature fromthetexture image. This opposite direction bythesameangle asdetected byPCA.Finally dataisgiven totheclassifier toclassify. Theresults arestable awavelet transform isapplied tothepreprocessed texture to androbust forbothsimple andcomplex textures. extract features which arerotation invariant. Theorganization ofthepaper isasfollows: Insection II, we givethedefinition ofPCA andwavelet transform. The" @default.
- W2186500372 created "2016-06-24" @default.
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- W2186500372 date "2006-01-01" @default.
- W2186500372 modified "2023-09-22" @default.
- W2186500372 title "Features forTexture Image Classification" @default.
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