Title :
Pattern Recognition in Image Processing Using Interpixel Correlation
Author :
Sclove, Stanley L.
Author_Institution :
Department of Mathematics, University of Illinois at Chicago Circle, Chicago, IL 60680.
fDate :
3/1/1981 12:00:00 AM
Abstract :
When within-object interpixel correlation varies appreciably from object to object, it may be important for the classifier to utilize this correlation, as well as the mean and variance of pixel intensities. In this correspondence interpixel correlation is brought into the classification scheme by means of a two-dimensional Markov model.
Keywords :
Biomedical image processing; Context modeling; Digital images; Image processing; Infrared imaging; Markov random fields; Maximum likelihood detection; Maximum likelihood estimation; Pattern recognition; Remote sensing; Image processing; Markov random field; pattern recognition; two-dimensional Markov model;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.1981.4767081