Research Article
Optic Disc Detection in Fundus Eye Images – A Detailed Survey
@INPROCEEDINGS{10.4108/eai.7-12-2021.2314560, author={Prakash J and Vinoth Kumar B}, title={Optic Disc Detection in Fundus Eye Images -- A Detailed Survey}, proceedings={Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India}, publisher={EAI}, proceedings_a={ICCAP}, year={2021}, month={12}, keywords={optic disc morphological operation hough transform evolutionary computing technique machine learning soft exudates hard exudates}, doi={10.4108/eai.7-12-2021.2314560} }- Prakash J
Vinoth Kumar B
Year: 2021
Optic Disc Detection in Fundus Eye Images – A Detailed Survey
ICCAP
EAI
DOI: 10.4108/eai.7-12-2021.2314560
Abstract
Detection of Optic Disc is an important task in the automatic retinal disease screening system. From the literature, it is identified that diabetic retinopathy is the main reason for blindness among working people especially aged people. Identifying and curing diabetic retinopathy at the earlier stages may prevent the cause of blindness among people. In this paper, a detailed survey involving the various techniques in optic disc detection like Morphological Operation Technique, Hough transform Technique, Evolutionary computing technique, and Machine learning technique are made from various literature works. This paper also discusses the various publicly available dataset that could be useful in assessing the performance of the various techniques. It also discusses the result obtained from the various methods proposed by different scholars in this domain and emphasize the enhancement obtained by them.
