Retinal fundus examination is necessary for the early diagnosis of eye disease, especially diabetic retinopathy. Population screening often results in poor quality retinal images that complicate the automated diagnosis of retinal features, such as precise segmentation of blood vessels, microaneurysms, cotton stains, and hard exudates. Fluorescein fundus angiogram (FFA) has solved some problems, but it is invasive and has side effects. In this research work, we proposed a method of image enhancement based on contrast-sensitive steps as a valuable aid for the automatic segmentation of pathological (unhealthy) images. Experimental results based on the Digital retinal images for vessel extraction (DRIVE) and STructured analysis of the retina (STARE) databases showed that the proposed image enhancement method improved the performance over other existing methods, from 92% to 95% in accuracy and from 71% to 75% in sensitivity. This significant improvement in the contrast of retinal background images of retinal color has the potential to provide better vessel images for observing ocular diseases.
Original languageEnglish
Title of host publicationData mining
Subtitle of host publication16th Australasian conference, AusDM 2018, Bahrurst, NSW, Australia, November 28–30, 2018, revised selected papers
EditorsYanchang Zhao, Graco Warwick, David Stirling, Chang-Tsun Li, Yun Sing Koh, Rafiqul Islam, Zahidul Islam
PublisherSpringer-Verlag London Ltd.
Number of pages13
ISBN (Electronic)9789811366611
ISBN (Print)9789811366604
Publication statusPublished - 16 Feb 2019
EventThe 16th Australasian Data Mining Conference - Charles Sturt University , Bathurst, Australia
Duration: 28 Nov 201830 Nov 2018
https://web.archive.org/web/20181122224709/https://ausdm18.ausdm.org/ (Conference website)
https://web.archive.org/web/20181202114109/http://ausdm18.ausdm.org/call-for-papers (Call for papers)
https://web.archive.org/web/20181211153702/http://ausdm18.ausdm.org/program (Conference program)

Publication series

NameCommunications in Computer and Information Science
ISSN (Print)1865-0929


ConferenceThe 16th Australasian Data Mining Conference
OtherThe Australasian Data Mining Conference (AusDM) has established itself as the premier Australasian meeting for both practitioners and researchers in data mining. It is devoted to the art and science of intelligent analysis of (usually big) data sets for meaningful (and previously unknown) insights. This conference will enable the sharing and learning of research and progress in the local context and new breakthroughs in data mining algorithms and their applications across all industries.
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