Wavelet-based Texture Analysis

In this paper, texture analysis based on wavelet transformations is elaborated. The paper is meant as a practical guideline through some aspects of a wavelet-based texture analysis task. The following aspects of the problem are discussed: discrete and continuous wavelet decompositions, texture features for grey-level textures, extensions to colour texture and rotation-invariant features, and classification, including supervised image classification and unsupervised texture segmentation tasks. For these different aspects, a theoretical and practical survey is given, experiments and real-world applications of the literature are reviewed and some small-scale demonstration experiments are included. I. Introduction Texture is an important cue for the analysis of many types of images. The term is used to point to intrinsic properties of surfaces, especially those that don't have a smoothly varying intensity. It includes intuitive properties like roughness, granulation and regularity. More f..