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

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 det...

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Bibliographic Details
Published inTENCON ... IEEE Region Ten Conference pp. 2690 - 2694
Main Authors Oza, Dwiref, Nair, Aditya, Kumar, J. R. Harish
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2019
Subjects
Biomedical optical imaging
Conferences
fundus images
Image decomposition
Lesions
localization
Multiscale modeling
optic disc
Optical imaging
Optical signal processing
Retina
Online AccessGet full text
ISSN2159-3450
DOI10.1109/TENCON.2019.8929268

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Summary: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.
ISSN:2159-3450
DOI:10.1109/TENCON.2019.8929268