The author presents the theory for developing optimal convolution filters for the identification of wide linear features and an algorithm for distinguishing them from other types of image feature. Some filters are given and the results of applying the algorithm to some real images are shown. These filters, and the algorithm, are appropriate for use in knowledge based systems which aim at identifying roads, canals, hedges and rivers in images, or in digitised maps.