Rotation-Invariant Features for Texture Image Classification

Abstract

Texture features based on wavelet transform are sensitive to texture rotation and translation. This paper develops a new rotation invariant texture analysis technique using Principal Components Analysis (PCA) and wavelet transform. The PCA is first used to calculate the angle of the principal direction of the texture. Then, the texture is rotated in the opposite direction by the same angle as detected by PCA. Finally a wavelet transform is applied to the preprocessed texture to extract features which are rotation invariant.