Estimating the size composition of sediment surfaces through image analysis.

I K McEwan, T M Sheen, G J Cunninghnm, A R Allen

Research output: Contribution to journalArticle

36 Citations (Scopus)

Abstract

his paper describes a technique to extract grain size information from areal images of sediment surfaces. An edge-detection algorithm is used to obtain the article boundaries and segment the image Ito individual grains. Further processing of the segmented image can result in detailed information about grain size, position, orientation and, depending on type of image, exposure. The images analysed in this paper were obtained by;er altimeter scans of sediment surfaces laboratory conditions. Further development of the method could harness photo-grammetric methods which are currently under development as a means of obtaining suitable images. Alternatively, carefully lit photographs have the potential to provide sufficient contrast at grain edges or the successful implementation of the image-processing technique. Therefore, is paper can be regarded as an interim ep towards the provision of an improved method for estimating surface sizes and composition, The results presented are sufficiently encouraging to make held trials, probably with other image types, an attractive possibility.

Original languageEnglish
Pages (from-to)189-195
Number of pages7
JournalProceedings of the Institution of Civil Engineers. Water and Maritime Engineering
Volume142
Publication statusPublished - 2000

Keywords

  • coastal engineering
  • research & development
  • river engineering
  • FRICTION ANGLE
  • SHEAR-STRESS
  • GRAVEL

Cite this

Estimating the size composition of sediment surfaces through image analysis. / McEwan, I K ; Sheen, T M ; Cunninghnm, G J ; Allen, A R .

In: Proceedings of the Institution of Civil Engineers. Water and Maritime Engineering, Vol. 142, 2000, p. 189-195.

Research output: Contribution to journalArticle

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AU - Cunninghnm, G J

AU - Allen, A R

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AB - his paper describes a technique to extract grain size information from areal images of sediment surfaces. An edge-detection algorithm is used to obtain the article boundaries and segment the image Ito individual grains. Further processing of the segmented image can result in detailed information about grain size, position, orientation and, depending on type of image, exposure. The images analysed in this paper were obtained by;er altimeter scans of sediment surfaces laboratory conditions. Further development of the method could harness photo-grammetric methods which are currently under development as a means of obtaining suitable images. Alternatively, carefully lit photographs have the potential to provide sufficient contrast at grain edges or the successful implementation of the image-processing technique. Therefore, is paper can be regarded as an interim ep towards the provision of an improved method for estimating surface sizes and composition, The results presented are sufficiently encouraging to make held trials, probably with other image types, an attractive possibility.

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KW - research & development

KW - river engineering

KW - FRICTION ANGLE

KW - SHEAR-STRESS

KW - GRAVEL

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JO - Proceedings of the Institution of Civil Engineers. Water and Maritime Engineering

JF - Proceedings of the Institution of Civil Engineers. Water and Maritime Engineering

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