TY - JOUR
T1 - Mosaic models for images-III. Spatial correlation in mosaics
AU - Ahuja, Narendra
N1 - *Now at coordinated Science Laboratory, University of Illinois, Urbana, Illinois 61801. The support of the U.S. Air Force Office of Scientific Research under Grant AFOSR-77-3271 is gratefully acknowledged, as is the help of Kathryn Riley and Chris Jewel1 in preparing this paper. The author is grateful to Professor Azriel Rosenfeld and Professor Eric Slud for many helpful discussions. The author would also like to thank the referee for a helpful review.
PY - 1981/6
Y1 - 1981/6
N2 - 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.
AB - 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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U2 - 10.1016/0020-0255(81)90044-X
DO - 10.1016/0020-0255(81)90044-X
M3 - Article
AN - SCOPUS:0019574340
SN - 0020-0255
VL - 24
SP - 43
EP - 69
JO - Information Sciences
JF - Information Sciences
IS - 1
ER -