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Abstract
Existing methods for estimating mean grain size of sediment in an image require either complicated sequences of image processing (filtering, edge detection, segmentation, etc.) or statistical procedures involving calibration. We present a new approach which uses Fourier methods to calculate grain size directly from the image without requiring calibration. Based on analysis of over 450 images, we found the accuracy to be within approximately 16% across the full range from silt to pebbles. Accuracy is comparable to, or better than, existing digital methods. The new method, in conjunction with recent advances in technology for taking appropriate images of sediment in a range of natural environments, promises to revolutionize the logistics and speed at which grain-size data may be obtained from the field.
| Publication type | Conference Paper |
|---|---|
| Publication Subtype | Conference Paper |
| Title | An automated and universal method for measuring mean grain size from a digital image of sediment |
| Year Published | 2010 |
| Language | English |
| Publisher | Joint Federal Interagency Conference |
| Publisher location | Las Vegas, Nevada |
| Contributing office(s) | Pacific Coastal and Marine Science Center |
| Description | 9 p. |
| Larger Work Type | Conference Paper |
| Larger Work Title | Proceedings of the Joint Federal Interagency Conference 2010 : Hydrology and sedimentation for a changing future : existing and emerging issues |
| Conference Title | Joint Federal Interagency Conference on Sedimentation and Hydrologic Modeling |
| Conference Location | Las Vegas, Nevada |
| Conference Date | June 27-July 1, 2010 |
| Online Only (Y/N) | N |
| Additional Online Files (Y/N) | N |
| Google Analytic Metrics | Metrics page |