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|Title: ||Automated sizing of coarse-grained sediments : image-processing procedures|
|Authors: ||Graham, David J.|
Rice, Stephen P.
|Keywords: ||Grain-size analysis|
|Issue Date: ||2005|
|Publisher: ||© Springer Verlag|
|Citation: ||GRAHAM, D.J., RICE, I. and REID, S.P., 2005. Automated sizing of coarse-grained sediments : image-processing procedure. Mathematical Geology, 37 (1), pp.1-28|
|Abstract: ||This is the first in a pair of papers in which we present image-processing based procedures for
the measurement of fluvial gravels. The spatial and temporal resolution of surface grain-size
characterization is constrained by the time-consuming and costly nature of traditional
measurement techniques. Several groups have developed image-processing based procedures,
but none have demonstrated the transferability of these techniques between sites with
different lithological, clast form and textural characteristics. Here we focus on imageprocessing
procedures for identifying and measuring image objects (i.e. grains); the second
paper examines the application of such procedures to the measurement of fluvially-deposited
gravels. Four image-segmentation procedures are developed, each having several internal
parameters, giving a total of 416 permutations. These are executed on 39 images from three
field sites at which the clasts have contrasting physical properties. The performance of each
procedure is evaluated against a sample of manually digitized grains in the same images, by
comparing three derived statistics. The results demonstrate that it is relatively straightforward
to develop procedures that satisfactorily identify objects in any single image or a set of
images with similar sedimentary characteristics. However, the optimal procedure is that
which gives consistently good results across sites with dissimilar sedimentary characteristics.
We show that neighborhood-based operations are the most powerful, and a morphological
bottom-hat transform with a double threshold is optimal. It is demonstrated that its
performance approaches that of the procedures giving the best results for individual sites.
Overall, it out-performs previously published, or improvements to previously published,
|Description: ||This article was published in the journal, Mathematical geology [© Springer Verlag] and is also available at: http://www.springerlink.com/openurl.asp?genre=journal&issn=0882-8121|
|Appears in Collections:||Published Articles (Geography and Environment)|
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