A maximum likelihood approach to texture classification.

A. L. Vickers, J. W. Modestino

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

A new approach to texture classification is described which is based on measurements of the spatial gray-level co-occurrence probability matrix. This approach can make use of assumed stochastic models for texture in imagery and is an approximation to the statistically optimum maximum likelihood classifier. -from ITC Bibliography

Original languageEnglish
Title of host publicationIEEE Transactions on Pattern Analysis & Machine Intelligence
EditionPAMI-4
StatePublished - Jan 1 1982

Fingerprint

texture
bibliography
imagery
matrix

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)
  • Environmental Science(all)

Cite this

Vickers, A. L., & Modestino, J. W. (1982). A maximum likelihood approach to texture classification. In IEEE Transactions on Pattern Analysis & Machine Intelligence (PAMI-4 ed.)

A maximum likelihood approach to texture classification. / Vickers, A. L.; Modestino, J. W.

IEEE Transactions on Pattern Analysis & Machine Intelligence. PAMI-4. ed. 1982.

Research output: Chapter in Book/Report/Conference proceedingChapter

Vickers, AL & Modestino, JW 1982, A maximum likelihood approach to texture classification. in IEEE Transactions on Pattern Analysis & Machine Intelligence. PAMI-4 edn.
Vickers AL, Modestino JW. A maximum likelihood approach to texture classification. In IEEE Transactions on Pattern Analysis & Machine Intelligence. PAMI-4 ed. 1982
Vickers, A. L. ; Modestino, J. W. / A maximum likelihood approach to texture classification. IEEE Transactions on Pattern Analysis & Machine Intelligence. PAMI-4. ed. 1982.
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