A simple autocorrelation algorithm for determining grain size from digital images of sediment
Journal of Sedimentary Research
By: D. M. Rubin
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Abstract
Autocorrelation between pixels in digital images of sediment can be used to measure average grain size of sediment on the bed, grain-size distribution of bed sediment, and vertical profiles in grain size in a cross-sectional image through a bed. The technique is less sensitive than traditional laboratory analyses to tails of a grain-size distribution, but it offers substantial other advantages: it is 100 times as fast; it is ideal for sampling surficial sediment (the part that interacts with a flow); it can determine vertical profiles in grain size on a scale finer than can be sampled physically; and it can be used in the field to provide almost real-time grain-size analysis. The technique can be applied to digital images obtained using any source with sufficient resolution, including digital cameras, digital video, or underwater digital microscopes (for real-time grain-size mapping of the bed). ?? 2004, SEPM (Society for Sedimentary Geology).
Suggested Citation
Rubin, D.M., 2004, A simple autocorrelation algorithm for determining grain size from digital images of sediment: Journal of Sedimentary Research, v. 74, no. 1, p. 160-165, https://doi.org/10.1306/052203740160.
ISSN: 1938-3681 (online)
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | A simple autocorrelation algorithm for determining grain size from digital images of sediment |
| Series title | Journal of Sedimentary Research |
| DOI | 10.1306/052203740160 |
| Volume | 74 |
| Issue | 1 |
| Year Published | 2004 |
| Language | English |
| Publisher | GeoScienceWorld |
| Description | 6 p. |
| First page | 160 |
| Last page | 165 |