Geological Image Analysis Software - GIAS v2

(c) Ciaran Beggan & Christopher Hamilton, 2020


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).

You will find some screen shots of the GUI here.


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.

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.

You will find a more extensive Help section here

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: 

[Ciaran: 02-Mar-2020]