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Statistical and structural approaches to texture

Haralick, R.M.·1979·Proceedings of the IEEE

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, textural edgeness, structural element, 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.

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Metadata

Authors
Haralick, R. M.
Venue
Proceedings of the IEEE
Published
1979
Volume
67
Issue
5
Pages
786-804
ISSN
0018-9219 (ISSN-L)
OpenAlex
W2059432853
Cited by
5,759
References
1
FWCI
48.23
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Statistical and structural approaches to texture. https://app.cochat.ai/papers/10.1109/proc.1979.11328
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Haralick, R. M. (1979). Statistical and structural approaches to texture. Proceedings of the IEEE. https://doi.org/10.1109/proc.1979.11328

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