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Instead of computing the LBP histogram of texture image in space directly which has some limitations to classification, a rotation invariant texture classification algorithm based on the multiresolution LBP features of dominant curvelet subbands in the combination of space and frequency domain is proposed. The texture image is transformed by curvelet first, then compute the LBP histogram of the resampled...
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