Wavelets for texture analysis, an overview

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 formally, texture can be defined as the set of local neighbourhood properties of the gray levels of an image region. Texture analysis is considered a challenging task. The ability to effectively classify and segment images based on textural features is of key importance in scene analysis, medical image analysis, remote sensing and many other application areas.