Scale and rotation invariant texture classification is a challenging and significant topic in texture analysis. This paper
presents a scale and rotation invariant Gabor Texture Descriptor (GTD) for texture classification. Firstly, Gabor filters
with different orientations and scales are carried out on an image. Secondly, to obtain a scale invariant GTD, different
scale energies of these Gabor filtered images are calculated, and the optimal matching scales of the GTD are chosen by
the sliding window filter with the scale energies. Thirdly, to extract a rotation invariant GTD, a new method using
Discrete Fourier Transform is employed on the scale invariant GTD. At last, the distances between the GTDs of a query
image and the target images are calculated for texture classification. Five different GTDs are employed for texture
classification to demonstrate the effectiveness of the proposed scale and rotation invariant GTD.
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