Texture Image Classification Based on Rotation-invariant U Transforms

How to deal with rotation effect in feature extraction and classification for texture images is one of the key problems. Based on a class of orthogonal piecewise polynomial function named as U system, this paper proposed a novel algorithm for texture classification. We first constructed a new basis functions on the unit disk by combining U system functions and trigonometric functions. Based on them, we defined the rotation-invariant U transforms（RIUTs） and then obtained the corresponding texture descriptors which are invariant for rotation, scale and translation transforms. Our method not only can eliminate the rotation effect, but also is very suitable for texture feature extraction. The results of the experiments show that our method have superior performance.