Invariant features of Local Textures - a rotation invariant local texture descriptor

In this paper, we present a new rotation-invariant texture descriptor algorithm called Invariant Features of Local Textures (IFLT). The proposed algorithm extracts rotation invariant features from a small neighbourhood of pixels around a centre pixel or a texture patch. Intensity vector which is derived from a texture patch is normalized and Haar wavelet filtered to derive rotation-invariant features. Texture classification experiments on the Brodatz album and Outex databases have shown that the proposed algorithm has a high rate of correct classification.