Statistical and structural approaches to texture

Abstract

In this survey we review the image processing literature on the various approaches and models investigators have used for texture. These include statistical approaches of autocorrelation function, optical transforms, digital transforms, textual edgeness, structural dement, gray tone cooccurrence, run lengths, and autoregressive models. We discuss and generalize some structural approaches to texture based on more complex primitives than gray tone. We conclude with some structural-statistical generalizations which apply the statistical techniques to the structural primitives. Copyright © 1979 by Thc Institute of Ekctrical and EkcuPnics Engineers, Inc.