Title

Clay-bearing rocks slaking characterization using artificial vision

DOI

https://doi.org/10.1201/b17395-267

Document Type

Conference Proceeding

Publication Date

1-1-2015

Publication Title

Geomechanics from Micro to Macro - Proceedings of the TC105 ISSMGE International Symposium on Geomechanics from Micro to Macro, IS-Cambridge 2014

Abstract

Several instability problems have been presented in cutting slopes over clay bearing rocks around the world. The principal cause is associated with the highly susceptibility to environmental changes of these materials. Their physical and mechanical characteristics change in a short period of time, thus, their performance change between rock and soil. This makes very complicated the classification process and the selection of suitable parameters for design and construction. Different classification proposals have been developed on fracture patterns basis and laboratory tests, but the subjectivity of the observer and the process for obtaining good samples affect the final result. Artificial vision is a good alternative for the characterization of these materials in the laboratory and the field. This paper investigates the disintegration of these materials using a new image segmentation algorithm. The algorithm works on color images, and different average color descriptors were used for the determination all factors which influence de segmentation quality. © 2015 Taylor & Francis Group.

Volume

2

First Page

1473

Last Page

1477

ISBN

9781138027077

Identifier

SCOPUS_ID:84907346140

Documento original

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