Abstract | ||
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The database and visualization facilities of Geographic Information System (GIS) software are employed to support the analysis of rock texture from thin section by image processing. A Microscopic Information System (MIS) is hence obtained. The method is applied to transmitted light images of 137 samples obtained from 8 granitoid rocks. A slide scanner and a mount for crossed polarization are used to acquire the input images. For each thin section 5 collimated RGB images are scanned: 4 under different directions of crossed polarization and 1 without polarization. A grain segmentation procedure, based on two region growing functions is applied. The output is converted to vector format and refined using editing tools in the MIS environment, which enables a straightforward match between the input imagery and the final vectorized texture. GIS software provides optimal management of the MIS database, allowing the cumulative measurement of more than 87,000 grains. |
Year | DOI | Venue |
---|---|---|
2010 | 10.1016/j.cageo.2009.09.017 | Computers & Geosciences |
Keywords | Field | DocType |
final vectorized texture,gis software,geographic information system,petrographic analysis,mis environment,thin section,microscopic information system,rock texture,input image,mis database,input imagery,image processing,cross polarization,petrography,information system,cumulant,region growing | Data mining,Geographic information system,Data processing,Computer science,Remote sensing,Image processing,Software,Region growing,RGB color model,Artificial intelligence,Computer vision,Vector graphics,Visualization | Journal |
Volume | Issue | ISSN |
36 | 5 | Computers and Geosciences |
Citations | PageRank | References |
4 | 0.76 | 2 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Simone Tarquini | 1 | 9 | 1.90 |
Massimiliano Favalli | 2 | 8 | 3.20 |