TY - GEN
T1 - A Novel Application of Multiscale Low-Rank Image Decomposition for Optic Disc Localization
AU - Oza, Dwiref
AU - Nair, Aditya
AU - Kumar, J. R.Harish
PY - 2019/10
Y1 - 2019/10
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85077713152&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85077713152&partnerID=8YFLogxK
U2 - 10.1109/TENCON.2019.8929268
DO - 10.1109/TENCON.2019.8929268
M3 - Conference contribution
AN - SCOPUS:85077713152
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
SP - 2690
EP - 2694
BT - Proceedings of the TENCON 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Region 10 Conference: Technology, Knowledge, and Society, TENCON 2019
Y2 - 17 October 2019 through 20 October 2019
ER -