Abstract
Optic disc (OD) localization is an important preprocessing step in the automated image detection of fundus image infected with glaucoma. An Interval Type-II fuzzy entropy based thresholding scheme along with Differential Evolution (DE) is applied to determine the location of the OD in the right of left eye retinal fundus image. The algorithm, when applied to 460 fundus images from the MESSIDOR dataset, shows a success rate of 99.07 % for 217 normal images and 95.47 % for 243 pathological images. The mean computational time is 1.709 s for normal images and 1.753 s for pathological images. These results are important for automated detection of glaucoma and for telemedicine purposes.
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Burman, R., Almazroa, A., Raahemifar, K., Lakshminarayanan, V. (2015). Automated Detection of Optic Disc in Fundus Images. In: Lakshminarayanan, V., Bhattacharya, I. (eds) Advances in Optical Science and Engineering. Springer Proceedings in Physics, vol 166. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2367-2_41
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DOI: https://doi.org/10.1007/978-81-322-2367-2_41
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