Geological Image Analysis Software - GIAS
v2
(c) Ciaran Beggan & Christopher Hamilton,
2020
Introduction
GIAS
is an image processing package written in MATLAB which facilitates the analysis
of vesicle images and spatial distributions of objects using nearest neighbor
statistics. This software is in development, so we are delighted to receive
feedback or suggestions for improvements. The software consists of a Graphical
User Interface (GUI) from which you can input binary images or a text file of
(x,y) pair positions. The output format is a Comma Separated Value (.csv) text
file, readable by a standard spreadsheet package (e.g. EXCEL, OpenOffice
Calc).
Screenshots
You
will find some screen shots of the GUI here.
Applications?
GIAS
has been used by a number of researchers around the world for
applications as diverse as analysing the vacuoles in live sponges to
looking at how bubbles form in electrolytic cells, as well as for
geological image processing. Recently GIAS version 2 has been used to
analyse the distribution of volcanoes on Jupiter's moon, Io. More
details in the Publications list.
Download
MATLAB files:
If you have MATLAB installed on your system, download a copy of the MATLAB (.m files) by clicking right-clicking here [.zip file, 2.1Mb] and using Save As... . The code will run under Windows or Unix. Unzip the files into a specific directory and add that directory to your MATLAB path. This package also includes a tutorial and three examples (with results) to test GIAS with.
We
have now released version 2 of GIAS. The new version has fixed the bugs
in version 1 and added an additional tab to examine the distribution of
points on spherical surfaces (e.g. such as planets). The Help files
have been updated and an example for Jupiter's moon Io is included.
Help
You will find
a more extensive Help section here
Feedback
We
are delighted to hear any feedback, suggestions or comments that you have to
make about the software. It is in testing mode at the moment, so user feedback
would be most welcome. Please also report bugs to us at the following
address:
gias@geoanalysis.org