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A Novel Application of Multiscale Low-Rank Image Decomposition for Optic Disc Localization

Oza, D and Nair, A and Kumar, JRH (2019) A Novel Application of Multiscale Low-Rank Image Decomposition for Optic Disc Localization. In: 2019 IEEE Region 10 Conference: Technology, Knowledge, and Society, TENCON 2019, 17-20 October 2019, Hotel Grand HyattKerala; India, pp. 2690-2694.

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Official URL: http://dx.doi.org/10.1109/TENCON.2019.8929268


We propose optic disc localization using a multiscale low-rank image decomposition technique, which separates the optic disc from other features on the retina. By decomposing the input image as the sum of L images, each at a specific scale and minimizing the rank of these blocks to emphasize the details at that scale. At one of the scales, the optic disc is isolated. Thereafter, we employ blob detection algorithms to localize the optic disc. The proposed method has been tested on seven fundus image databases amounting to a total of 2035 images, achieving an accuracy of 100, 100, 96.15, 97.75, 98.15, 96.85 and 96.41 on DRIVE, DRIONS-DB, DIARETDBO, DIARETDB1, IDRiD-1, IDRiD-2, and MESSIDOR databases, respectively. Synthetically generated images with features at different scales were used to test the rate of convergence of the method as well.

Item Type: Conference Paper
Publication: IEEE Region 10 Annual International Conference, Proceedings/TENCON
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: Copyright of this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords: Fundus image; Image decomposition; localization; Multi-scale Modeling; Optic disc, Image segmentation
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 10 Feb 2020 08:51
Last Modified: 10 Feb 2020 08:51
URI: http://eprints.iisc.ac.in/id/eprint/64446

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