Save this page
Save this page

My Saved Pages

  • Saved page.

My Saved Courses

  • Saved page.
Reset

Recently visited

  • Saved page.

Prof Stephen Marshall

Electronic and Electrical Engineering

Personal statement

I am a Professor in the Department of Electronic and Electrical Engineering where I am also Deputy Head of Department and Director of the Hyperspectral Imaging (HSI) Centre. The Centre carries out pure and applied research into all aspects of HSI and currently has 11 staff and researchers.

I am also the University's academic lead for the Verically Integrated Project (VIP) Program which brings together students, researchers and staff from across disciplines and academic years to tackle challenging problems.

 

Publications

Error model of misalignment error in a radial 3D scanner
Mathur Neha, Summan Rahul, Dobie Gordon, West Graeme, Marshall Stephen
IEEE SENSORS 2017, (2017)
Hyperspectral image enhancement and mixture deep-learning classification of corneal epithelium injury
Md Noor Siti Salwa, Michael Kaleena, Marshall Stephen, Ren Jinchang
Sensors Vol 17, (2017)
http://dx.doi.org/10.3390/s17112644
Joint bilateral filtering and spectral similarity-based sparse representation : a generic framework for effective feature extraction and data classification in hyperspectral imaging
Qiao Tong, Yang Zhijing, Ren Jinchang, Yuen Peter, Zhao Huimin, Sun Genyun, Marshall Stephen, Benediktsson Jon Atli
Pattern Recognition, (2017)
http://dx.doi.org/10.1016/j.patcog.2017.10.008
Correlation of pre-operative cancer imaging techniques with post-operative gross and microscopic pathology images
Reines March Gabriel, Ju Xiangyang, Marshall Stephen
Irish Machine Vision and Image Processing Conference Proceedings, pp. 257-260, (2017)
A novel visual pipework inspection system
Summan Rahul, Jackson William, Dobie Gordon, MacLeod Charles Norman, Mineo Carmelo, West Graeme, Offin Douglas, Bolton Gary, Marshall Stephen, Lille Alexander
QNDE 2017, (2017)
The influence of the spatial distribution of 2D features on pose estimation for a visual pipe mapping sensor
Summan Rahul, Dobie Gordon, West Graeme, Marshall Stephen, Macleod Charles, Pierce Gareth
IEEE Sensors Journal, (2017)
http://dx.doi.org/10.1109/JSEN.2017.2723728

more publications

Teaching

I currently teach EE581/981 Video and Image Processing to level 5 and Masters students. I have previously taught electronic design, CAD and Computer Vision.

Research interests

  • Digital image processing and computer vision,
  • Hyperspectral Imaging,
  • non-linear image processing,
  • mathematical morphology,
  • digital image coding,
  • medical image processing,
  • genomic signal processing,
  • genetic algorithms and FPGAs.

Professional activities

IET Image Processing (Journal)
Associate Editor
1/2/2016
Hyperspectral Imaging 2016
Organiser
1/1/2016
23rd European Signal Processing Conference, 2015 (EUSIPCO 2015)
Participant
1/9/2015
Transforming Institutions: 21st Century Undergraduate STEM Education Conference
Participant
23/10/2014
Hyperspectral Imaging and Applications Conference (HSI 2014)
Organiser
15/10/2014
Irish Machine Vision and Image Processing (IMVIP 2014)
Keynote/plenary speaker
27/8/2014

more professional activities

Projects

KTP - Innovent
Ren, Jinchang (Principal Investigator) Marshall, Stephen (Co-investigator)
Period 01-May-2017 - 30-Oct-2019
Doctoral Training Partnership (DTP 2016-2017 University of Strathclyde) | McDonald, Liam
Dobie, Gordon (Principal Investigator) Marshall, Stephen (Co-investigator) McDonald, Liam (Research Co-investigator)
Period 01-Oct-2016 - 01-Oct-2019
Inversion Analysis of Surface Seismic Data for Effective Exploration of Oil and Gas Reservoirs
Ren, Jinchang (Principal Investigator) Marshall, Stephen (Co-investigator) Tarantino, Alessandro (Co-investigator) Weiss, Stephan (Co-investigator)
Period 01-Mar-2017 - 28-Feb-2019
A new tool for bioimaging based on super resolution Raman microscopy
Graham, Duncan (Principal Investigator) Faulds, Karen (Co-investigator) Marshall, Stephen (Co-investigator)
Raman microscopy is a technique which interacts laser light of a particular wavelength with a target sample resulting in this light being scattered by the sample, the changes in energy of the scattered light is then measured. These changes in energy relate to vibrations from different molecules and produce a vibrational fingerprint of the sample relating to the molecular composition. When conducted using a microscope and a stage which moves, multiple Raman spectra in 2 and 3 dimensions can be acquired to produce an image of the sample based on the intensity and the location of particular vibrations within the sample. This is referred to as a Raman map and is very often a false colour map laid on top of a standard magnified microscope image of the sample, a white light image, e.g. a heat map of intensity of say a protein vibration overlaid on the image of a cell. Conventional Raman microscopy is normally in a confocal mode which means that the highest resolution in spatial terms is half the wavelength of the excitation light so typically around 250 nm. Biological structures and processes are on a much smaller scale and this is a limitation of Raman spectroscopy. An advantage of Raman spectroscopy is that it is label free and reliant on the specific molecular vibrations from the molecules in the interrogation volume, unlike fluorescence microscopy, which is the most commonly used form of optical microscopy in life sciences. However fluorescence microscopy requires addition of a label to the sample which changes the sample composition and can affect the intrinsic biological processes of a biological system. This proposal will produce a new tool to acquire Raman maps and then process the data to enhance the spatial resolution possible from a Raman confocal microscope. We propose to generate sub 100 nm spatial resolution using this tool which will greatly transform the use of Raman spectroscopy and microscopy in the life sciences. This tool will require no addition of labels or hardware modifications to existing Raman microscope instruments.
Period 01-Aug-2017 - 31-Oct-2018
Multimodality image registration for hypoxia PET tracers studies
Marshall, Stephen (Principal Investigator) Ren, Jinchang (Co-investigator)
Period 01-Oct-2015 - 30-Sep-2019
Cost-effective medical hyperspectral imaging
Marshall, Stephen (Principal Investigator) McConnell, Gail (Co-investigator) McKee, David (Co-investigator) Ren, Jinchang (Co-investigator)
Period 01-Jul-2016 - 30-Jun-2018

more projects

Address

Electronic and Electrical Engineering
Royal College Building

Location Map

View University of Strathclyde in a larger map