The University of Western Australia
Res/Assoc/Prof Eun-Jung Holden
Research Associate Professor
Contact details
| Address | School of Earth and Environment The University of Western Australia (M004) 35 Stirling Highway CRAWLEY WA 6009 Australia |
|---|---|
| Phone | 6488 5806 |
| Fax | 6488 1178 |
| eunjung@cyllene.uwa.edu.au |
Biography
Eun-Jung Holden is a research fellow at the Center for Exploration Targeting within UWA. She received her BSc, MSc and PhD in Computer Science at UWA. Her research interests include image analysis and visualisation of geoscientific datasets.
Key research
- My research interests are in the areas of image processing and pattern recognition. Since 2006, I have been actively involved in developing computer applications which enhances and detects features of interest within geoscientific data, primarily for mineral exploration. Recent applications include the following:
- 1. Enhancement and Detection of Regions of Discontinuity within Aeromagnetic and Gravity Data
- This application allows the enhancement of discontinuities within data using texture analysis which examines the statistical variation of data values within the neighbourhood of each pixel. From the texture analysis output, the laterally continuous line-like features that represent the regions of discontinuities and their skeletal lineaments are automatically identified.
- 2. Determining Olivine Crystal Size Distributions in Kimberlite Slab Images
- Collaborative research between the CET and Volcanology Group at the University of British Columbia (UBC), Canada, has produced an automatic image processing algorithm for recognising individual olivine crystals in scanned images of polished kimberlite slabs. This automatic process detects olivine using colour, texture and brightness characteristics; separates joined grains using an object segmentation technique; and then extracts data for size distribution. This process can determine olivine crystal size distributions almost equivalent in quality to that of a manual tracing procedure, but much more rapidly.
- 3. Near Circular Feature Detection
- Some geological features can be characterised by their shapes within data. The near circular feature detection method is applied to identify calderas from digital elevation maps as well as kimberlite pipes from aeromagnetic data. These applications combine the circular shape detection and high level heuristics to identify the features.
- 4. Televeiwer Image Processing
- This on-going project, supported by a UWA research grant, aims to identify the following two features within televiewer images.
- · Planar discontinuity detection from soft rock images
- · Clast size distribution detection from kimberlite images
- UWA Collaborators: Mike Dentith, Peter Kovesi, Nick Spadaccini, Jon Wan, Christine Jenkins, Shih Ching Fu, Cam McCuaig, John Miller, Klaus Gessner
- External Collaborators: Stephen Moss, Kelly Russell (UBC, Canada)
Qualifications
BSc MSc PhD W.Aust.
Publications
Publications (within the past 5 years)
Software
Holden, E. J., Owens, R., Wong, J., Yeates, S., Lowe, N., Strauss, J., 2004, The Auslan Tuition System, Public domain software downloadable from the Internet: (URL) http://auslantuition.csse.uwa.edu.au (This system has over 2200 registered users around the world)
Journal articles
Holden E. J., Dentith M. and Kovesi P., 2008, Towards the Automatic Analysis of Regional Aeromagnetic Data to Identify Regions Prospective for Gold Deposits, Computers & Geosciences, 34(11): 1505-1513.
Le Y., Zhang, D., Holden, E. J., 2008, A fast and fully automatic registration approach based on point features for multi-source remote-sensing images. Computers & Geosciences, 34(7): 838-848.
Baker, B., Gessner, K., Holden, E. J., Squelch, A., 2008, Automatic detection of anisotropic features on rock surfaces, Geosphere, 4(2), April.
Holden E. J., Lee G., and Owens R., 2005, Australian Sign Language Recognition, Machine Vision and Applications, December, Vol. 16, No. 5.
Holden E. J., and Owens R., 2003, Representing the Finger-only Topology for Hand Shape Recognition, International Journal of Machine Graphics and Vision, Vol. 12, No.2, pp.187-202.
Yeates S., Holden E. J. and Owens R., 2003, An Animated Auslan Tuition System, International Journal of Machine Graphics and Vision, Vol. 12, No. 2, pp.203-214.
Refereed Conference Papers
Jenkins, C., Wan, J., Holden, E. J., Dentith, M., and Kovesi, P., Haederle, M., 2008, Application of Radial Symmetry for Caldera Detection, Proceedings of DICTA (Digital Image Computing Techniques and Applications), Canberra, Australia.
Fam, C. H., Holden, E. J., Dentith, M., and Kovesi, P., 2007, Towards the Automated Mapping of Linear Anomalies within Aeromagnetic Datasets, Proceedings of DICTA (Digital Image Computing Techniques and Applications), Adelaide, Australia.
Goh, P. and Holden E. J., 2006, Dynamic Fingerspelling Recognition Using Geometric and Motion Features, International Conference on Image Processing (ICIP), Atlanta, GA, USA.
Holden E. J. and Owens, R., 2005, Automatic Recognition of Colloquial Australian Sign Language, IEEE workshop on Motion and Video Computing (WACV/MOTION’05), Vol. 2, pp.183-188, Colorado, USA.
Holden, E. J., Wong J. C. and Owens, R., 2005, An Effective Sign Language Display System, The Eighth International Symposium on Signal Processing and Its Applications, August, Sydney, Australia.
Holden, E. J. and Owens, R., 2004, Segmenting Occluded Objects using a Motion Snake, Asian Conference on Computer Vision, January, Jeju, Korea.
Wong J. C, Holden E. J., Lowe N., and Owens, R., 2003, Real-time Facial Expressions in Auslan Tuition System, The 5th IASTED International Conference on Computer Graphics and Imaging, August, Hawaii, USA.
Holden, E. J., and Owens, R., 2003, Recognising Moving Hand Shapes, International Conference on Image Analysis and Processing, September, Mantova, Italy.
Software
Holden, E. J., Owens, R., Wong, J., Yeates, S., Lowe, N., Strauss, J., 2004, The Auslan Tuition System, Public domain software downloadable from the Internet: (URL) http://auslantuition.csse.uwa.edu.au (This system has over 2200 registered users around the world)
Journal articles
Holden E. J., Dentith M. and Kovesi P., 2008, Towards the Automatic Analysis of Regional Aeromagnetic Data to Identify Regions Prospective for Gold Deposits, Computers & Geosciences, 34(11): 1505-1513.
Le Y., Zhang, D., Holden, E. J., 2008, A fast and fully automatic registration approach based on point features for multi-source remote-sensing images. Computers & Geosciences, 34(7): 838-848.
Baker, B., Gessner, K., Holden, E. J., Squelch, A., 2008, Automatic detection of anisotropic features on rock surfaces, Geosphere, 4(2), April.
Holden E. J., Lee G., and Owens R., 2005, Australian Sign Language Recognition, Machine Vision and Applications, December, Vol. 16, No. 5.
Holden E. J., and Owens R., 2003, Representing the Finger-only Topology for Hand Shape Recognition, International Journal of Machine Graphics and Vision, Vol. 12, No.2, pp.187-202.
Yeates S., Holden E. J. and Owens R., 2003, An Animated Auslan Tuition System, International Journal of Machine Graphics and Vision, Vol. 12, No. 2, pp.203-214.
Refereed Conference Papers
Jenkins, C., Wan, J., Holden, E. J., Dentith, M., and Kovesi, P., Haederle, M., 2008, Application of Radial Symmetry for Caldera Detection, Proceedings of DICTA (Digital Image Computing Techniques and Applications), Canberra, Australia.
Fam, C. H., Holden, E. J., Dentith, M., and Kovesi, P., 2007, Towards the Automated Mapping of Linear Anomalies within Aeromagnetic Datasets, Proceedings of DICTA (Digital Image Computing Techniques and Applications), Adelaide, Australia.
Goh, P. and Holden E. J., 2006, Dynamic Fingerspelling Recognition Using Geometric and Motion Features, International Conference on Image Processing (ICIP), Atlanta, GA, USA.
Holden E. J. and Owens, R., 2005, Automatic Recognition of Colloquial Australian Sign Language, IEEE workshop on Motion and Video Computing (WACV/MOTION’05), Vol. 2, pp.183-188, Colorado, USA.
Holden, E. J., Wong J. C. and Owens, R., 2005, An Effective Sign Language Display System, The Eighth International Symposium on Signal Processing and Its Applications, August, Sydney, Australia.
Holden, E. J. and Owens, R., 2004, Segmenting Occluded Objects using a Motion Snake, Asian Conference on Computer Vision, January, Jeju, Korea.
Wong J. C, Holden E. J., Lowe N., and Owens, R., 2003, Real-time Facial Expressions in Auslan Tuition System, The 5th IASTED International Conference on Computer Graphics and Imaging, August, Hawaii, USA.
Holden, E. J., and Owens, R., 2003, Recognising Moving Hand Shapes, International Conference on Image Analysis and Processing, September, Mantova, Italy.
Funding received
Grants
Holden. UWA Research Grant, Automatic Segmentation of Geological Imagery for Mining Applications: a Feasibility Study, 2008.
Gessner, Holden and Squelch. iVEC internship project grant, Automatic Analysis and Visualization of Rock Surface Characteristics, 2006.
Holden, Dentith and Kerby. iVEC internship project grant, Automatic Location and Mapping of Linear Features in Geophysical and Geodetic Datasets, 2006.
Commercial Awards
Holden and Owens, Commendation in the Innovation Category of the WA Information Technology & Telecommunications Award (2004) – The Auslan Tuition System
Holden. UWA Research Grant, Automatic Segmentation of Geological Imagery for Mining Applications: a Feasibility Study, 2008.
Gessner, Holden and Squelch. iVEC internship project grant, Automatic Analysis and Visualization of Rock Surface Characteristics, 2006.
Holden, Dentith and Kerby. iVEC internship project grant, Automatic Location and Mapping of Linear Features in Geophysical and Geodetic Datasets, 2006.
Commercial Awards
Holden and Owens, Commendation in the Innovation Category of the WA Information Technology & Telecommunications Award (2004) – The Auslan Tuition System
Teaching
Image processing tutorial component of EART3330 (Geographic Information Systems and Remote Sensing)
Recent Honours Projects
2007
“Image Processing Modules Implemented, Tested and Embedded in GIS Tools”
Student: David Hng (Software Engineering)
Supervisors: Eun-Jung Holden (CET), Rachel Cardell-Oliver (Computer Science and Software Engineering)
This project won the Student Project category of the 17th annual WA Information Technology and Telecommunications Awards, 2007.
2008
“Automatic Detection of Planar Fractures within Televiewer Images”
Student: Jon Wan (Computer Science)
Supervisors: Eun-Jung Holden (CET), Nick Spadaccini (Computer Science and Software Engineering)
This geotechnical project aims to develop a fully automatic planar fracture detection algorithm for the logging within televiewer images. This research is related to the applications for the mining and petroleum industries.
“Implementing and Testing Automatic Texture Analysis for Geoscientific images within MapInfo”
Student: Hans Dumlah (Mechatronics)
Supervisors: Eun-Jung Holden (CET), Brett Kirk (Mechatronics)
This project aims to implement state-of-art image processing plug-ins for an existing GIS, MapInfo. It aims to meet the need of the mining industry and other GIS users.
Recent Honours Projects
2007
“Image Processing Modules Implemented, Tested and Embedded in GIS Tools”
Student: David Hng (Software Engineering)
Supervisors: Eun-Jung Holden (CET), Rachel Cardell-Oliver (Computer Science and Software Engineering)
This project won the Student Project category of the 17th annual WA Information Technology and Telecommunications Awards, 2007.
2008
“Automatic Detection of Planar Fractures within Televiewer Images”
Student: Jon Wan (Computer Science)
Supervisors: Eun-Jung Holden (CET), Nick Spadaccini (Computer Science and Software Engineering)
This geotechnical project aims to develop a fully automatic planar fracture detection algorithm for the logging within televiewer images. This research is related to the applications for the mining and petroleum industries.
“Implementing and Testing Automatic Texture Analysis for Geoscientific images within MapInfo”
Student: Hans Dumlah (Mechatronics)
Supervisors: Eun-Jung Holden (CET), Brett Kirk (Mechatronics)
This project aims to implement state-of-art image processing plug-ins for an existing GIS, MapInfo. It aims to meet the need of the mining industry and other GIS users.
Research profile
