An automated retinal image quality grading algorithm

Hunter, Andrew, Lowell, J., Habib, M. , Ryder, B., Basu, A. and Steel, D. (2011) An automated retinal image quality grading algorithm. In: 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011, 30 August - 3 September 2011, Boston, MA.

Full content URL:

Full text not available from this repository.

Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


This paper introduces an algorithm for the automated assessment of retinal fundus image quality grade. Retinal image quality grading assesses whether the quality of the image is sufficient to allow diagnostic procedures to be applied. Automated quality analysis is an important preprocessing step in algorithmic diagnosis, as it is necessary to ensure that images are sufficiently clear to allow pathologies to be visible. The algorithm is based on standard recommendations for quality analysis by human screeners, examining the clarity of retinal vessels within the macula region. An evaluation against a reference standard data-set is given; it is shown that the algorithm's performance correlates closely with that of clinicians manually grading image quality. © 2011 IEEE.

Additional Information:Conference Code:87843
Keywords:Automated assessment, Data sets, Diagnostic procedure, Pre-processing step, Quality analysis, Reference standard, Retinal image quality, Retinal vessels, Algorithms, Automation, Image quality, Ophthalmology, Quality control
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
B Subjects allied to Medicine > B500 Ophthalmics
Divisions:Professional services > Vice Chancellors Office
Related URLs:
ID Code:10230
Deposited On:16 Aug 2013 11:39

Repository Staff Only: item control page