The World Wide Web provides an increasingly powerful and popular publication mechanism. Web documents often contain a large number of images serving various different purposes. Identifying the functional categories of these images has important applications including information extraction, web mining, web page summarization and mobile access. In this paper we outline a novel algorithm for automatic identification of two of the most important image categories, namely story and preview images. Keywords Web document analysis, image classification, text categorization