The Bowler Hat Transform enhances vessels in retinal images - this is an important first step in computer-aided diagnosis.
The Bowler Hat Transform enhances vessels in retinal images - this is an important first step in computer-aided diagnosis.

Vessel Enhancement

Working with Cigdem Sazak and Boguslaw Obara (Durham University) I developed a new approach for the enhancement of vessel-like objects in biological and medical imaging called the bowler-hat transform. We have used this approach in the analysis of fungal and slime mould networks, with our collaborator Mark Fricker (Oxford University), retinal imaging and brain vasculature.

My contribution to this work was funded by the EPSRC.

The key output of this work was published in Pattern Recognition.

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Chas Nelson
LKAS Research Fellow in Data Science

An interdisciplinary scientist with a background in quantitative microscopy and bioimage analysis.

Publications

Quantification and modelling of curvilinear structures in 2D and 3D images is a common challenge in a wide range of biomedical …

Enhancement, followed by segmentation, quantification and modelling of blood vessels in retinal images plays an essential role in …

A wide range of biomedical applications require enhancement, detection, quantification and modelling of curvilinear structures in 2D …

Enhancement and detection of 3D vessel-like structures has long been an open problem as most existing image processing methods fail in …

Mathematical morphology is an established field of image processing first introduced as an application of set and lattice theories. …