It is quite easy to understand what a texture is, though somewhat less easy to define it. For many reasons it is useful to be able to classify textures and to distinguish them from one another. It is also useful to be able to determine the boundaries between different textures, as they often signify the boundaries of real objects. This chapter studies the means of achieving these aims. Look out for:
• basic measures by which textures can be classified—such as regularity, randomness, and directionality.
• problems that arise with “obvious” texture analysis methods, such as autocorrelation.
• the long-standing gray-level co-occurrence matrix method.
• Laws’ method and Ade’s generalization of it.
• alternative approaches to texture analysis ...