TiGenerator: Object-based training image generator

Authors:
Amisha Maharaja
Affiliations:
Department of Energy Resources Engineering, Stanford University, Stanford, CA 94305, USA
Venue:
Computers & Geosciences
Year:
2008

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Abstract

A plug-in, TiGenerator, is written for the open source software SGeMS to generate 3D, categorical training images. It provides a graphical user interface to generate various parametric as well as non-parametric shapes using unconditional Boolean simulation with interaction between the objects. The code design allows new shapes and features to be added easily without altering the main algorithm.