Feature Neighbourhood Mutual Information for multi-modal image registration: An application to eye fundus imaging
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 833662
- Type
- D - Journal article
- DOI
-
10.1016/j.patcog.2014.12.014
- Title of journal
- Pattern Recognition
- Article number
- -
- First page
- 1937
- Volume
- 48
- Issue
- 6
- ISSN
- 0031-3203
- Open access status
- Out of scope for open access requirements
- Month of publication
- December
- Year of publication
- 2014
- URL
-
http://dx.doi.org/10.1016/j.patcog.2014.12.014
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Citation count
- 27
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper describes a novel multi-modal image similarity measure incorporating both Feature and Neighbourhood attributes into a Mutual Information calculation (Feature Neighbourhood Mutual Information). We demonstrate how our method improves registration accuracy and robustness compared with other methods, by achieving a global maxima for the correct registration whilst also providing improved search convergence towards the solution across the image search space, to improve search optimisation and runtime. The research has since been deployed in practice for clinical eye assessment at the University Hospital Wales (Professor James Morgan, Consultant Ophthalmologist, UHW).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
