Mosaic models for images - III. Spatial correlation in mosaics

Abstract This paper deals with digital patterns generated by a class of random geometric processes proposed as models for images. The joint gray-level probability density for pairs of points at given separations is used to derive various second-order image statistics, including the autocorrelation, edge density, and variogram. In modeling images using these processes, these results can be used for fitting models to a given ensemble of images.

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