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• W2013202283 abstract "A new rotation-invariant wavelet-based texture recognition scheme is proposed. In the previous rotation-invariant approaches, the focus is on adapting the wavelet transform or filter to rotated texture. In our approach, instead, we estimate the rotation of the texture with respect to some reference orientation, and then rotate the texture image back to the reference orientation before applying the wavelet analysis to extract features. With such rotation compensation, even very simple features (such as 1-level DWT and the subband energy) can be effective in achieving high classification accuracy as we demonstrate through our experiments." @default.
• W2013202283 created "2016-06-24" @default.
• W2013202283 creator A5055952568 @default.
• W2013202283 creator A5060475738 @default.
• W2013202283 date "2013-09-01" @default.
• W2013202283 modified "2023-09-24" @default.
• W2013202283 title "Rotation-invariant texture recognition by rotation compensation and wavelet analysis" @default.
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• W2013202283 doi "https://doi.org/10.1109/icip.2013.6738780" @default.
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