Mosaic Models for Images, 3: Spatial Correlation in Mosaics

Narendra Ahuja

Abstract

For pt.II see ibid., vol.23, p.159-200 (1981). 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.