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dc.contributor.author
Larrea, Martin Leonardo  
dc.contributor.author
Castro, Silvia Mabel  
dc.contributor.author
Bjerg, Ernesto Alfredo  
dc.date.available
2018-01-03T20:52:43Z  
dc.date.issued
2014-08  
dc.identifier.citation
Bjerg, Ernesto Alfredo; Castro, Silvia Mabel; Larrea, Martin Leonardo; A software solution for point counting. Petrographic thin section analysis as a case study; Springer Heidelberg; Arabian Journal of Geosciences; 7; 8; 8-2014; 2981-2989  
dc.identifier.issn
1866-7511  
dc.identifier.uri
http://hdl.handle.net/11336/32223  
dc.description.abstract
In the field of geology, as in many other fields, a common problem is the analysis of 2D sections. An example of this is the petrographic study of rock samples, i.e., the quantification of its mineral components and the percentages of each phase present in it. Conventionally, this quantification has been determined by point counting performed on thin sections. Although point counting is very time consuming, it is of common use in several domains including geology, biology, medicine, and materials sciences, among others. Point counting in thin sections is normally conducted through mechanical or electromechanical devices attached to a microscope; such devices are very expensive, offer limited functionality, and are very time consuming. In this contribution, we introduce an interactive visualization application called Rock.AR that reduces the amount of time required to apply this technique and simplify its work flow. It provides visual tools like distortion techniques, overview + detail, and statistics to assist the technique. A comparison between this application and similar tools through users´ experiences is provided. We compare the time it takes to complete a session of point counting and the tools´ usability.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Springer Heidelberg  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Point Counting  
dc.subject
Petrographic Thin Sections  
dc.subject
Image Analysis  
dc.subject
Visualization  
dc.subject.classification
Ciencias de la Computación  
dc.subject.classification
Ciencias de la Computación e Información  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
A software solution for point counting. Petrographic thin section analysis as a case study  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2017-12-27T15:20:42Z  
dc.journal.volume
7  
dc.journal.number
8  
dc.journal.pagination
2981-2989  
dc.journal.pais
Alemania  
dc.journal.ciudad
Berlín  
dc.description.fil
Fil: Larrea, Martin Leonardo. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Castro, Silvia Mabel. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina  
dc.description.fil
Fil: Bjerg, Ernesto Alfredo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Geológico del Sur. Universidad Nacional del Sur. Departamento de Geología. Instituto Geológico del Sur; Argentina  
dc.journal.title
Arabian Journal of Geosciences  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s12517-013-1032-0  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s12517-013-1032-0