| Title | Review of relationships between grey-tone co-occurrence, semivariance, and autocorrelation based image texture analysis approaches |
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| Author | van der Sanden, J J ; Hoekman, D H |
| Source | Canadian Journal of Remote Sensing vol. 31, no. 3, 2005 p. 207-213, https://doi.org/10.5589/m05-008 |
| Year | 2005 |
| Alt Series | Earth Sciences Sector, Contribution Series 20043057 |
| Publisher | Informa UK Limited |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Subjects | remote sensing; textural analyses; statistical methods |
| Illustrations | statistics; remotely sensed images; tables |
| Released | 2014 06 02 |
| 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. |
| GEOSCAN ID | 219859 |
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