New image processing software for analyzing object size-frequency distributions, geometry, orientation, and spatial distribution

Ciarán Beggan, Christopher W. Hamilton

Research output: Contribution to journalArticle

31 Scopus citations

Abstract

Geological Image Analysis Software (GIAS) combines basic tools for calculating object area, abundance, radius, perimeter, eccentricity, orientation, and centroid location, with the first automated method for characterizing the aerial distribution of objects using sample-size-dependent nearest neighbor (NN) statistics. The NN analyses include tests for (1) Poisson, (2) Normalized Poisson, (3) Scavenged k=1, and (4) Scavenged k=2 NN distributions. GIAS is implemented in MATLAB with a Graphical User Interface (GUI) that is available as pre-parsed pseudocode for use with MATLAB, or as a stand-alone application that runs on Windows and Unix systems. GIAS can process raster data (e.g., satellite imagery, photomicrographs, etc.) and tables of object coordinates to characterize the size, geometry, orientation, and spatial organization of a wide range of geological features. This information expedites quantitative measurements of 2D object properties, provides criteria for validating the use of stereology to transform 2D object sections into 3D models, and establishes a standardized NN methodology that can be used to compare the results of different geospatial studies and identify objects using non-morphological parameters.

Original languageEnglish (US)
Pages (from-to)539-549
Number of pages11
JournalComputers and Geosciences
Volume36
Issue number4
DOIs
StatePublished - Apr 1 2010
Externally publishedYes

Keywords

  • Image analysis
  • Nearest neighbor
  • Size-frequency
  • Software
  • Spatial distribution
  • Vesicles
  • Volcanology

ASJC Scopus subject areas

  • Information Systems
  • Computers in Earth Sciences

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