publication . Doctoral thesis . Other literature type . 2016

Image analysis to measure sorting and stratification applied to sand-gravel experiments

Orrú, C.;
Open Access English
  • Published: 11 Mar 2016
  • Country: Netherlands
The main objective of this project is to develop new measuring techniques for providing detailed data on sediment sorting suitable for sand-gravel laboratory experiments. Such data will be of aid in obtaining new insights on sorting mechanisms and improving prediction capabilities of morphodynamic models. Two measuring techniques have been developed. The first technique is aimed at measuring the size stratification of a sand-gravel deposit through combining image analysis and a sediment removal technique. The image analysis technique is based on color segmentation of areal images of a bed surface composed of colored sediment. After taking images a thin layer of ...
free text keywords: image analysis, flume experiments, bed degradation, armoring
Download fromView all 2 versions
TU Delft Repository
Doctoral thesis . 2016
Provider: NARCIS
Other literature type . 2016
Provider: Datacite

[1] C. R. Sherwood and D. M. Rubin, Particle Size, Bed Properties, and Transport of Sediment on European Epicontinental Shelves, DTIC Document (Geological Survey Woods Hole MA, 2005).

[2] Partrac, marine data expertise,

[3] D. Rubin, A simple autocorrelation algorithm for determining grain size from digital images of sediment, Journal of Sedimentary Research 74, 160 (2004).

[4] J. A. Warrick, D. M. Rubin, P. Ruggiero, J. N. Harney, A. E. Draut, and D. Buscombe, Cobble cam: grain-size measurements of sand to boulder from digital photographs and autocorrelation analyses, Earth Surface Processes and Landforms 34, 1811 (2009). [OpenAIRE]

[5] I. K. McEwan, T. M. Sheen, G. T. Cunningham, and A. Allen, Estimating the size composition of sediment surfaces through image analysis, Proceedings of the Institution of Civil Engineers - Water and Maritime Engineering 142, 189 (2000). [OpenAIRE]

[6] L. Sime and R. Ferguson, Information on grain sizes in gravel-bed rivers by automated image analysis, Journal of Sedimentary Research 73, 630 (2003). [OpenAIRE]

[7] D. J. Graham, I. Reid, and S. P. Rice, Automated sizing of coarse-grained sediments: Image-processing procedures, Mathematical Geology 37, 1 (2005).

[8] D. J. Graham, S. P. Rice, and I. Reid, A transferable method for the automated grain sizing of river gravels, Water Resources Research 41, W07020 (2005).

[9] D. J. Graham, A.-J. Rollet, H. Piégay, and S. P. Rice, Maximizing the accuracy of image-based surface sediment sampling techniques, Water Resources Research 46, W02508 (2010). [OpenAIRE]

JOURNAL ARTICLES • Orrú C., Chavarrías V., Uijttewaal W. S. J., and Blom A., Image analysis for measuring the size stratification in sand-gravel laboratory experiments, Earth Surface Dynamics 2, 1, 217-232 (2014). [OpenAIRE]

Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue