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

Dwiref Oza; Aditya Nair; J. R.Harish Kumar

doi:10.1109/TENCON.2019.8929268

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

Dwiref Oza
, Aditya Nair
, J. R.Harish Kumar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings of the TENCON 2019
Subtitle of host publication	Technology, Knowledge, and Society
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2690-2694
Number of pages	5
ISBN (Electronic)	9781728118956
DOIs	https://doi.org/10.1109/TENCON.2019.8929268
Publication status	Published - 10-2019
Event	2019 IEEE Region 10 Conference: Technology, Knowledge, and Society, TENCON 2019 - Kerala, India Duration: 17-10-2019 → 20-10-2019

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume	2019-October
ISSN (Print)	2159-3442
ISSN (Electronic)	2159-3450

Conference

Conference	2019 IEEE Region 10 Conference: Technology, Knowledge, and Society, TENCON 2019
Country/Territory	India
City	Kerala
Period	17-10-19 → 20-10-19

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering

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10.1109/TENCON.2019.8929268

Cite this

Oza, D., Nair, A., & Kumar, J. R. H. (2019). A Novel Application of Multiscale Low-Rank Image Decomposition for Optic Disc Localization. In Proceedings of the TENCON 2019: Technology, Knowledge, and Society (pp. 2690-2694). Article 8929268 (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2019-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TENCON.2019.8929268

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title = "A Novel Application of Multiscale Low-Rank Image Decomposition for Optic Disc Localization",

abstract = "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.",

author = "Dwiref Oza and Aditya Nair and Kumar, \{J. R.Harish\}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Region 10 Conference: Technology, Knowledge, and Society, TENCON 2019 ; Conference date: 17-10-2019 Through 20-10-2019",

year = "2019",

month = oct,

doi = "10.1109/TENCON.2019.8929268",

language = "English",

series = "IEEE Region 10 Annual International Conference, Proceedings/TENCON",

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Oza, D, Nair, A & Kumar, JRH 2019, A Novel Application of Multiscale Low-Rank Image Decomposition for Optic Disc Localization. in Proceedings of the TENCON 2019: Technology, Knowledge, and Society., 8929268, IEEE Region 10 Annual International Conference, Proceedings/TENCON, vol. 2019-October, Institute of Electrical and Electronics Engineers Inc., pp. 2690-2694, 2019 IEEE Region 10 Conference: Technology, Knowledge, and Society, TENCON 2019, Kerala, India, 17-10-19. https://doi.org/10.1109/TENCON.2019.8929268

A Novel Application of Multiscale Low-Rank Image Decomposition for Optic Disc Localization. / Oza, Dwiref; Nair, Aditya; Kumar, J. R.Harish.
Proceedings of the TENCON 2019: Technology, Knowledge, and Society. Institute of Electrical and Electronics Engineers Inc., 2019. p. 2690-2694 8929268 (IEEE Region 10 Annual International Conference, Proceedings/TENCON; Vol. 2019-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

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AU - Kumar, J. R.Harish

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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.

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Oza D, Nair A, Kumar JRH. A Novel Application of Multiscale Low-Rank Image Decomposition for Optic Disc Localization. In Proceedings of the TENCON 2019: Technology, Knowledge, and Society. Institute of Electrical and Electronics Engineers Inc. 2019. p. 2690-2694. 8929268. (IEEE Region 10 Annual International Conference, Proceedings/TENCON). doi: 10.1109/TENCON.2019.8929268

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

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