Download Image Processing and Enhancement Applied to Geophysical Datasets

Image Processing and Enhancement Applied to Geophysical
Datasets
Supervisors
Research Affiliations
Degree Type/Name
Pre-requisites
Student Support
Collaboration
Dr EJ Holden and Prof Mike Dentith
Centre for Exploration Targeting
Honours - Computer Science, Geology Earth Science or Minerals
Geoscience
Degree in Computer Science or equivalent
The student undertaking this project will work with staff from the
Schools of Earth & Geographical Sciences and Computer
Science & Software Engineering
Collaboration with local mining companies is expected
Skills
This research project provides the opportunities for research students to obtain skills and
experience in the enhancement and interpretation geophysical data , skills highly regarded in
mineral exploration companies, as well as forming a firm basis for a research or academic
career.
Project Description
Image enhancement is important for computer vision-based applications as real-life images
are often degraded containing impulsive (i.e. localised) and non-impulsive noise. Geophysics
dataset such as gridded aeromagnetic dataset can be treated as 2D images where certain
anomalies or pattern signatures are searched for the purpose of targeting minerals in mining
exploration. Detection and elimination of noise from these dataset are an important task for
effective targeting.
Image enhancement techniques often separately deal with goals such as removing impulsive
noise, smoothing non-impulsive noise, and enhancing edges or other salient features.
However, many applications require a technique which achieves all of those conflicting goals.
For example, in geophysics applications, aeromagnetic dataset may need to be enhanced by
removing both impulsive and non-impulsive noises while enhancing edges, as both of edge
information and texture information are important geophysics signatures that are used for
mineral exploration. This project is to implement
an enhancement technique which deals with all of these conflicting goals and to investigate its
use for the pattern matching application of mineral targeting. Fuzzy logic based image
enhancement techniques [1,2] will be investigated for this project.
The student is expected to have the understanding of fundamental concepts of image
processing, and to have some prior experience in programming. This project needs to be
implemented in Matlab.
Recommended Reading
[1] Y. Choi and R. Krishnapuram, "A Robust Approach to Image Enhancement Based on
Fuzzy Logic", IEEE Transactions on Image Processing, Vol 6, No 6, June, 1997.
[2] F. Farbiz, M. B. Menhaj, S. A. Motamedi, and M. T. Hagan, "A New Fuzzy Logic Filter for
Image Enhancement", IEEE Transactions on Systems, Man and Cybernetics - Part B:
Cybernetics, Vol 30, No 1, February, 2000.