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portfolio
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projects
Vertically Integrated Project - Drug Discovery
Hyperspectral Imaging of Streptomyces species to identify novel antibiotics
Nondestructive Evaluation of Nuclear Reactor Fuel Channels
Image stitching from routine outage inspections to identify defects
Final Year Project - Stereoscopic Imaging and Facial Detection
Investigating 3D imaging techniques for improving facial detection and recognition
The Hyperspectral Crop Camera
Development of a low-cost handheld hyperspectral camera for use in agri-tech applications
PhD Project - Improving Long Range Sensing to Counter Developing Threats
ICASE project with BAE Systems investigating ways to improve the SNR of long range sensing in aerial and sattelite platforms
publications
A Colour Hit-or-Miss Transform Based on a Rank Ordered Distance Measure
Fraser Macfarlane, Paul Murray, Stephen Marshall, Benjamin Perret, Adrian N. Evans and Henry White, "A Colour Hit-or-Miss Transform Based on a Rank Ordered Distance Measure," 2018 26th European Signal Processing Conference (EUSIPCO), 2018, pp. 588-592, doi: 10.23919/EUSIPCO.2018.8553050.
A Fast Hyperspectral Hit-or-Miss Transform with Integrated Projection-based Dimensionality Reduction
Fraser Macfarlane, Paul Murray, Stephen Marshall and Henry White, "A fast hyperspectral hit-or-miss transform with integrated projection-based dimensionality reduction," Hyperspectral Imaging and Applications, 2018.
Object Detection and Classification in Aerial Hyperspectral Imagery using a Multivariate Hit-or-Miss Transform
Fraser Macfarlane, Paul Murray, Stephen Marshall and Henry White, "Object detection and classification in aerial hyperspectral imagery using a multivariate hit-or-miss transform," Proc. SPIE 10986, Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV, 1098619 (14 May 2019); https://doi.org/10.1117/12.2518103
Low-cost Hyper-Spectral Imaging System using a Linear Variable Bandpass Filter for Agritech Applications
Shigeng Song, Des Gibson, Sam Ahmadzadeh, Hin On Chu, Barry Warden, Russell Overend, Fraser Macfarlane, Paul Murray, Stephen Marshall, Matt Aitkenhead, Damian Bienkowski, and Russell Allison, "Low-cost hyper-spectral imaging system using a linear variable bandpass filter for agritech applications," Appl. Opt. 59, A167-A175 (2020) https://opg.optica.org/ao/abstract.cfm?URI=ao-59-5-A167
Investigating the Effects of a Combined Spatial and Spectral Dimensionality Reduction Approach for Aerial Hyperspectral Target Detection Applications
Fraser Macfarlane, Paul Murray, Stephen Marshall, and Henry White. 2021. "Investigating the Effects of a Combined Spatial and Spectral Dimensionality Reduction Approach for Aerial Hyperspectral Target Detection Applications" Remote Sensing 13, no. 9: 1647. https://doi.org/10.3390/rs13091647
Robust Object Detection in Colour Images Using a Multivariate Percentage Occupancy Hit-or-Miss Transform
Fraser Macfarlane, Paul Murray, Stephen Marshall, Benjamin Perret, Adrian N. Evans and Henry White, "Robust object detection in colour images using a multivariate percentage occupancy hit-or-miss transform," Mathematical Morphology - Theory and Applications, 5 (1). pp. 128-152. ISSN 2353-3390
research
talks
Talk 1 on Relevant Topic in Your Field
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Object detection and classification in aerial hyperspectral imagery using a multivariate hit-or-miss transform
Presentation given at SPIE Defence and Commercial Sensing (DCS) Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV.
teaching
EE320 - Signals and Communication Systems
Undergraduate course, University of Strathclyde, Department of Electronic & Electrical Engineering (2017-2021)
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VIP Drug Discovery
Vertically Integrated Project, University of Strathclyde, Department of Electronic & Electrical Engineering (2017-2021)
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EE270 - Digital Electronics
Undergraduate course, University of Strathclyde, Department of Electronic & Electrical Engineering (2018-2020)
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EO303 - Digital Electronics and Embedded Systems
Graduate Apprenticeship course, University of Strathclyde, Department of Electronic & Electrical Engineering (2020-2021)
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