GLDH based analysis of texture anisotropy and symmetry: an experimental study

Growing attention has been paid to the investigation of oriented (anisotropic) textures. Co-occurrence probability matrix (CPM) and gray-level difference histogram (GLDN) based features have been traditionally viewed as powerful texture analysis tools that are, however, less suitable for detailed anisotropy analysis because for small discrete spacing one cannot set fine angular resolution necessary for detailed directionality analysis. The author proposes a computationally efficient extension of CPM and GLDH to arbitrary angle and spacing and applies it to the analysis of texture anisotropy. Furthermore, the author considers the possibility of investigating the symmetry of a texture pattern via the symmetry properties of a polar diagram describing the anisotropy of the pattern. Results of pilot experiments with real-world textures are shown and discussed