GRAIN SIZE MEASUREMENT IN IMAGES OF SANDS

Fátima Cristina Lira, Pedro Pina

2006

Abstract

Different sand deposits exhibits different size distributions and measuring the size of its grains permits to obtain important information about these deposits and consequently the establishment of correlations between them. This paper presents a new method for the characterization of grain sand size based on image analysis. Size distributions are obtained with successive morphological openings parameterized by structuring elements of increasing size. The results obtained from image analysis and sieving are compared transforming the area measured in the images to weight, assuming some simplifications. Although some bias is introduced in relation to sieving, the global sediments characteristics are kept allowing to conclude that image analysis is an alternative technique for measuring the size of sand grains.

References

  1. Andriani, G.F. & Walsh, N., 2002, Physical properties and textural parameters of calcarenitic rocks: qualitative and quantitative evaluations. Engineering Geology, 67: 5-15.
  2. Balagurunathan, Y.; Dougherty, E.; Bilinski, S.F.; Bilinski, H. & Vdovic, N., 2001, Morphological granulometric analysis of sediment images. Image Analysis & Stereology, 20: 87-99.
  3. Beucher, S., Lantuéjoul, Ch., 1979, Use of watershed in contour detection, in Proc. Int. Workshop on Image Processing: Real-Time Edge and Motion Detection/Estimation, Rennes, 2.1-2.12.
  4. Coster, M. & Chermant, J.L., 2001, Image analysis and mathematical morphology for civil engineering materials. Cement & Concrete Composites, 23: 133- 151.
  5. Francus, P., 1998, An image-analysis technique to measure grain-size variation in thin section of soft clastic sediment. Sedimentary Geology, 121: 289-298.
  6. Friedman, G.M. & Sanders, J.E., 1979. Principles of Sedimentology. John Wiley & Sons, New York.
  7. Graham, D.J.; Reid, I & Rice, S.P., 2005, Automated sizing of coarse-grained sediments: Image processing procedures. Mathematical Geology, 37(1): 1-28.
  8. Heilbronner, R., 2000, Automatic grain boundary detection and size analysis using polarization micrograhs or orientation images. Journal of Structural Geology, 22: 969-981.
  9. Matheron, G., 1975, Random sets and integral geometry. John Wiley & Sons. New York.
  10. Persson, A.L., 1998, Image analysis of shape and size of fine aggregrates. Engineering Geology, 50: 177-186.
  11. Rfgen, B.; Gommesen, L.E.; Fabricius, I.L., 2001, Grain size distribution of chalk from image analysis of electron micrographs. Computers & Geosciences, 27: 1071-1080.
  12. Selmaoui, N.; Repetti, B.; Laporte-Magoni, C. & Allenbach, M., 2004, Coupled strata and granulometry detection on indurated cores by gray-level images analysis. Geo-Marine Letters, 24: 241-251.
Download


Paper Citation


in Harvard Style

Cristina Lira F. and Pina P. (2006). GRAIN SIZE MEASUREMENT IN IMAGES OF SANDS . In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, ISBN 972-8865-40-6, pages 371-374. DOI: 10.5220/0001375303710374


in Bibtex Style

@conference{visapp06,
author={Fátima Cristina Lira and Pedro Pina},
title={GRAIN SIZE MEASUREMENT IN IMAGES OF SANDS},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,},
year={2006},
pages={371-374},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001375303710374},
isbn={972-8865-40-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,
TI - GRAIN SIZE MEASUREMENT IN IMAGES OF SANDS
SN - 972-8865-40-6
AU - Cristina Lira F.
AU - Pina P.
PY - 2006
SP - 371
EP - 374
DO - 10.5220/0001375303710374