Using image analysis and ArcGIS® to improve automatic grain boundary detection and quantify geological images

Author:

DeVasto Michael A.,Czeck Dyanna M.,Bhattacharyya Prajukti

Funder

Geological Society of America Graduate Student Research

Precambrian Research Institute

University of Wisconsin-Milwaukee

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Information Systems

Reference31 articles.

1. New image processing software for analyzing object size-frequency distributions, geometry, orientation, and spatial distribution;Beggan;Computers and Geosciences,2010

2. Quantitative analysis of crystal/grain sizes and their distributions in 2D and 3D;Berger;Journal of Structural Geology,2010

3. Using network analyses within geographic information system technologies to quantify geometries of shear zone networks;Bhattacharyya;Geosphere,2008

4. Inferring volcanic degassing processes from vesicle size distributions;Blower;Geophysical Research Letters,2001

5. DeVasto, M.A., 2011. Quantifying the Relationship Between Geochemical and Microtextural Changes Across Small Scale Granitic Shear Zones. Unpublished M.Sc. Thesis. University of Wisconsin, Milwaukee, p. 159.

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