| 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). |
| Genre: | Article |
| ProdID: | 70027687 |
| Citation Author: | Rubin, D. M. |
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| Citation End Page: | 165 |
| Citation Issue: | 1 |
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| Citation Language: | English |
| Citation Larger Work Title: | Journal of Sedimentary Research |
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| Citation Number Of Pages: | 6 |
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| Citation Search Results Text: | A simple autocorrelation algorithm for determining grain size from digital images of sediment; 2004; Article; Journal; Journal of Sedimentary Research; Rubin, D. M. |
| Citation Start Page: | 160 |
| Citation Volume: | 74 |
| Citation Year: | 2004 |
| Type: | citation/reference |
| Text: | A simple autocorrelation algorithm for determining grain size from digital images of sediment; 2004; Article; Journal; Journal of Sedimentary Research; Rubin, D. M. |
| URL (THUMBNAIL): | http://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg |
| Date Other: | Thu, 1 Jan 2004 00:00 -0600 |
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