Luttrell S P, 1987, The use of Markov random field models to derive sampling schemes for inverse texture problems, Inverse Problems, vol. 3, no.2, pp. 289-300
We advocate the use of Markov random field (MRF) models to describe texture properties generally. For homogeneous textures we derive a sampling scheme that preserves the information content of the data whilst reducing their dimensionality considerably. We derive a refinement of this sampling scheme where residual redundancy is removed by a more careful selection of what is sampled. We relate our results to the grey level co-occurrence method of texture classification and to the pattern recognition device that is known as WISARD