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
Recommended Citation
Rincón, O.; Florez, L.; and Ocampo, M. S., "Clay-bearing rocks slaking characterization using artificial vision" (2015). Scopus Unisalle. 446.
https://ciencia.lasalle.edu.co/scopus_unisalle/446
Identifier
SCOPUS_ID:84907346140