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Automated crack detection using image processing


Project Description

The accurate detection and quantification of cracks and defects in structures such as: bridges, tunnels, roads and offshore pipelines is important to allow owners and operators of these high value assets to understand and quantify their condition. Such structures are typically inspected using remote digital cameras to capture images which are studied by experts and often analysed in detail through a laborious, manually intensive process. The aim of this PhD project is to design novel image analysis algorithms to accurately and robustly perform automated crack detection and sizing in inspection images and videos of high value assets. This will bring together traditional research approaches to image and signal processing and combine them with state-of-the-art techniques in machine learning, such as deep convolutional neural networks to tackle real-world industrial problems. Candidates with a strong background in image and signal processing and/or machine learning are sought. Experience of one or more programming language(s) and/or statistical analysis packages would be an advantage.

This PhD position is supported by a generous studentship which provides funding to cover all HOME fees (applicable to UK & EU Students only) and a standard annual EPSRC stipend in the region of £14k per annum.

This is an exciting opportunity for the successful candidate to join an internationally recognised research team based at the Centre for Signal & Image Processing (CeSIP) within the Department of Electronic and Electrical Engineering at the University of Strathclyde. The Department is host to a large number of researchers and PhD students, many of whom are based in the £89M Technology Innovation Centre and working directly with our industrial partners to deliver useful, high-impact research. The successful candidate will engage with the wider research team on a daily basis and will also have opportunities to interact with and present their research to our industrial partners and the wider research community. There will be opportunities for the successful candidate to attend one international conference during their studies and to interact with the supervisory team’s academic collaborators who are based at various universities around the world. Ultimately, this PhD position presents a unique opportunity for the successful candidate to design and deliver innovative solutions with opportunities for publication in peer reviewed journals and conferences as well as delivering real industrial impact through research.

Funding Notes

This PhD position is supported by a generous studentship which provides funding to cover all HOME fees (applicable to UK & EU Students only) and a standard annual EPSRC stipend in the region of £14k per annum.

How good is research at University of Strathclyde in Electrical and Electronic Engineering, Metallurgy and Materials?

FTE Category A staff submitted: 59.20

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

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