The present invention relates broadly to a method of image analysis for analyzing the texture of a surface, and to a saxony-type carpet having a tightly tailored surface texture characterized by this method. The method employs a model based on a second order co-occurrence matrix model which calculates a set of textural parameters for image classification. This co-occurrence matrix model examines the statistics of the spatial relationship between gray levels in a homogeneously textured image with calculated textural features which represent measures such as homogeneity and contrast. The method of the present invention uses this model to construct a set of normalized textural parameters from the textural parameters and calculates a value for the normalized textural parameters from this set, where the normalized textural parameters are related to the physical properties of the surface, such as pile lay of a carpet. The method compares the value for each of the normalized textural parameters of an unknown sample to the value for each of the corresponding normalized textural parameters for a known, or goal, sample. In one embodiment, the method compares an unknown sample of a saxony-type carpet to a goal sample of a saxony-type carpet having a tightly tailored surface texture to determine whether the unknown sample is such a carpet.