Wavelet texture analysis has been applied to solve many problems in process industries as well as in other industries. In solving problems from process industries however, its potentials have never been explored to the full extent yet. This is not only because techniques used in wavelet texture analysis are still unfamiliar to researchers and practitioners in process industries, but also because characteristics of the scenes displayed by the images in process industries are difficult to analyze: products and processes in process industries mostly have stochastic outside appearance. The purpose of this article is to give an overview of state-of-the-art methods in wavelet texture analysis through an illustrative example from process industries.