TY - JOUR
T1 - New image processing software for analyzing object size-frequency distributions, geometry, orientation, and spatial distribution
AU - Beggan, Ciarán
AU - Hamilton, Christopher W.
N1 - Funding Information:
We thank Alexander Proussevitch, Steve Baloga, Sarah Fagents, Bruce Houghton, Lucia Gurioli, and Mark Naylor for insightful discussions relating to vesicle distributions and NN simulations; Emma Passmore for kindly providing the geological thin-sections examined within this study; and Dougal Jerram and Guilherme Gualda for their thorough reviews, which have greatly improved this manuscript. CDB wishes to acknowledge the assistance of Sue Rigby in providing funding for software purchases. CDB was funded under NERC studentship award NER/S/J/2005/13496. CWH is funded by the Icelandic Centre for Research (RANNÍS) and the NASA Mars Data Analysis Program (MDAP) Grant NNG05GQ39G. SOEST publication number: 7808. HIGP publication number: 1802.
PY - 2010/4
Y1 - 2010/4
N2 - 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.
AB - 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.
KW - Image analysis
KW - Nearest neighbor
KW - Size-frequency
KW - Software
KW - Spatial distribution
KW - Vesicles
KW - Volcanology
UR - http://www.scopus.com/inward/record.url?scp=77649233053&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77649233053&partnerID=8YFLogxK
U2 - 10.1016/j.cageo.2009.09.003
DO - 10.1016/j.cageo.2009.09.003
M3 - Article
AN - SCOPUS:77649233053
SN - 0098-3004
VL - 36
SP - 539
EP - 549
JO - Computers and Geosciences
JF - Computers and Geosciences
IS - 4
ER -