Research Repository

See what's under the surface

Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing.

Rahim, Sarni Suhaila; Palade, Vasile; Shuttleworth, James; Jayne, Chrisina

Authors

Sarni Suhaila Rahim

Vasile Palade

James Shuttleworth

Chrisina Jayne

Abstract

Digital retinal imaging is a challenging screening method for which effective, robust and cost-effective approaches are still to be developed. Regular screening for diabetic retinopathy and diabetic maculopathy diseases is necessary in order to identify the group at risk of visual impairment. This paper presents a novel automatic detection of diabetic retinopathy and maculopathy in eye fundus images by employing fuzzy image processing techniques. The paper first introduces the existing systems for diabetic retinopathy screening, with an emphasis on the maculopathy detection methods. The proposed medical decision support system consists of four parts, namely: image acquisition, image preprocessing including four retinal structures localisation, feature extraction and the classification of diabetic retinopathy and maculopathy. A combination of fuzzy image processing techniques, the Circular Hough Transform and several feature extraction methods are implemented in the proposed system. The paper also presents a novel technique for the macula region localisation in order to detect the maculopathy. In addition to the proposed detection system, the paper highlights a novel online dataset and it presents the dataset collection, the expert diagnosis process and the advantages of our online database compared to other public eye fundus image databases for diabetic retinopathy purposes.

Journal Article Type Article
Publication Date Dec 31, 2016
Journal Brain informatics
Print ISSN 2198-4018
Electronic ISSN 2198-4026
Publisher Springer (part of Springer Nature)
Peer Reviewed Peer Reviewed
Volume 3
Issue 4
Pages 249–267
Institution Citation RAHIM, S.S., PALADE, V., SHUTTLEWORTH, J. and JAYNE, C. 2016. Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing. Brain informatics [online], 3(4), pages 249-267. Available from: https://doi.org/10.1007/s40708-016-0045-3
DOI https://doi.org/10.1007/s40708-016-0045-3
Keywords Diabetic retinopathy; Maculopathy; Eye screening; Colour fundus images; Fuzzy image processing

Files




Downloadable Citations