Abstract:Rotational invariant texture classification is required for many real world applications. Rotation invariant texture features are derived from the even symmetric Gabor filtered images of texture. The feature used is AAD (average absolute deviation) from mean. It can be shown that rotation of input image is equivalent to a translation of the channel output along the orientation axis. This property is exploited to convert rotational variant features to rotational invariant features. Discrete Fourier Transform of… Show more
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