Review of relationships between grey-tone co-occurrence, semivariance, and autocorrelation based image texture analysis approaches

J.J. van der Sanden, D.H. Hoekman

Research output: Contribution to journalArticleAcademicpeer-review

25 Citations (Scopus)

Abstract

In the present paper we review relationships between commonly used statistical approaches to analysis of image texture. The approaches considered characterize image texture by means of the statistics of grey- tone co- occurrence contrast, grey- tone co- occurrence correlation, semivariance, and autocorrelation. In the literature, the relationships between these textural measures are rarely discussed and sometimes overlooked. Grey-tone co- occurrence contrast and semivariance are shown to represent identical statistics. The expectations for the statistic of grey-tone co- occurrence correlation and the coefficient of autocorrelation are demonstrated to agree. Grey-tone variance is shown to link the statistics of grey-tone co-occurrence contrast and grey-tone co-occurrence correlation.
Original languageEnglish
Pages (from-to)207-213
JournalCanadian Journal of Remote Sensing
Volume31
Issue number3
Publication statusPublished - 2005

Keywords

  • land-cover
  • classification
  • matrix

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