Abstract
Segmentation of optical disk and optical cup from retinal fundus images help to diagnose the abnormalities such as Glaucoma and can help to create awareness among the common man to plan for proper treatment plan in order to avoid complete visual morbidity. The original input image is at first filtered by means of histogram processing and further subjected to morphological image processing in order to classify the positions of optic cup and optic disk. This complete computation procedure is simulated using Matlab technical computing language.
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References
Muramathsu C, Nakagawa T, Sawada A, Hatanaka Y, Yamamoto, Fujita H (2011) Automatic measurement of cup to disc ratio based on line profile analysis in retinal images. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp 3387–3390
Yin F, Liu J, Wong DWK, Tan,NM, Cheung C, Bascaran, WTY (2012) Automatic separate of an optical disk & optical cup in glaucoma diagnostic picture. In: 25th IEEE international symposium on software-based medical applications
Ho MH, Chutatape O (2003) limitation of optical disc using the improve ASM process. Pattern Recogn 36(9):1993–2004
Ho C, et al (2013) Identification of Superpixel-centric optical disk and optical cup segmentation for glaucoma safeguard. Uh. IEEE Def IEEE Trans Med Oh Imaging 32(6), 1019–1032
Tan NM, Xu Y, Goh WB, Liu J (2015) Reliable multi-scale super pixel labeling for optical cup location. This is programing U. Pharm Man Oh Med Imaging 40:182–193
Almazroa, man, man (2015) Optical disk and optical cup segmentation methodologies for the identification of glaucoma picture: study. L Ophthalmol. 189972-1–180972-28
Shaik F, Sharma AK, Ahmed SM, Gunjan VK, Naik C (2016) An improved model for analysis of Diabetic Retinopathy related imagery. Indian J Sci Technol 9(44). (ISSN: 0974-6846)
Mathworks I (2014) MATLAB: R2014a. Math works Inc., Natick
Sivaswamy J, Krishnadas SR, Joshi GD, Jain M, Tabish AUS (April 2014) DRISHTI-GS: retinal picture dataset for segmentation of the optical nerve head (ONH). In: IEEE 11th international symposium on biomedical imaging, pp 53–56
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Obulesu, G., Shaik, F., Sree Lakshmi, C., Vijay Vardhan Kumar Reddy, V., Nishanth, M., Siva Shankar Reddy, L. (2021). Optic Disk Segmentation for Glaucoma Detection in Retinal Images. In: Kumar, A., Mozar, S. (eds) ICCCE 2020. Lecture Notes in Electrical Engineering, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-15-7961-5_41
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DOI: https://doi.org/10.1007/978-981-15-7961-5_41
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