Preprints
https://doi.org/10.5194/esurf-2020-23
https://doi.org/10.5194/esurf-2020-23
15 Apr 2020
 | 15 Apr 2020
Status: this preprint has been withdrawn by the authors.

A new workflow for the automated measurement of shape descriptors of rocks

Eszter Fehér, Balázs Havasi-Tóth, and Balázs Ludmány

Abstract. Shape properties of rocks carry important geological information about their origin, and they may also provide a window to study the abrasion processes forming their geometry. The number of mechanical equilibria is a significant property with a profound mathematical background that could reveal the secrets hidden in the artifacts of Nature. Although it is easy to count by hand, the automation of its measurement is not a straightforward task. A new workflow is introduced for the fast and efficient measurement of geometrical properties, including the number and location of stable and unstable equilibrium points of rocks based on a portable 3D scanner combined with computer software that can analyze the resulting point cloud. The technique allows for the fast examination of statistically sufficient sample sizes without the need for transportation or storage of the specimens. A previously hand-measured set of pebbles and fragments was used as a reference for the validation of the method, and its effectiveness is demonstrated through the examination of beach pebbles carried out in Kawakawa Bay, New Zealand.

This preprint has been withdrawn.

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Eszter Fehér, Balázs Havasi-Tóth, and Balázs Ludmány

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Eszter Fehér, Balázs Havasi-Tóth, and Balázs Ludmány

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A new workflow for the automated measurement of shape descriptors of rocks E. Fehér, B. Havasi-Tóth, and B. Ludmány https://doi.org/10.5446/45980

Eszter Fehér, Balázs Havasi-Tóth, and Balázs Ludmány

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Short summary
Shape characteristics of rocks and sediments can provide crucial information about their origin and their environment, but the automation of their measurement is often time-consuming and complicated. We introduce a workflow based on a portable 3D scanner and a computer algorithm that allows for the fast and efficient recording and evaluation of the shapes of rocks. Using this method, we can examine the geometry of hundreds of particles in a few days without transporting or storing them.