Automatic retinal vessel extraction algorithm based on contrast-sensitive schemes

Mohammad A. U. Khan; Toufique A. Soomro; Tariq M. Khan; Donald G. Bailey; Junbin Gao; Nighat Mir

doi:10.1109/IVCNZ.2016.7804441

Automatic retinal vessel extraction algorithm based on contrast-sensitive schemes

Mohammad A. U. Khan, Toufique A. Soomro, Tariq M. Khan, Donald G. Bailey, Junbin Gao, Nighat Mir

School of Engineering

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

32 Citations (Scopus)

Abstract

Retinal vessel segmentation plays a key role in the detection of numerous eye diseases, and its reliable computerised implementation becomes important for automatic retinal disease screening systems. A large number of retinal vessel segmentation algorithms have been reported, primarily based on three main steps including making the background uniform, second-order Gaussian detector application and finally the region-grown bi-narization. Although these methods improve the accuracy levels, their sensitivity to low-contrast vessels still needs attention. In this paper, some contrast-sensitive approaches are discussed that once embedded in the conventional algorithm results in improved sensitivity for a given retinal vessel extraction technique. The impact of these add-on modules is assessed on publicly available databases like DRIVE and STARE and found to provide promising results.

Original language	English
Title of host publication	Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ)
Editors	Donald Bailey, Gourab Sen Gupta, Stephen Marsland
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781509027484, 9781509027477
ISBN (Print)	9781509027491
DOIs	https://doi.org/10.1109/IVCNZ.2016.7804441
Publication status	Published - 2016
Event	International Conference on Image and Vision Computing New Zealand (2016) - Palmerston North, New Zealand Duration: 21 Nov 2016 → 22 Nov 2016

Conference

Conference	International Conference on Image and Vision Computing New Zealand (2016)
City	Palmerston North, New Zealand
Period	21/11/16 → 22/11/16

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10.1109/IVCNZ.2016.7804441

Cite this

Khan, M. A. U., Soomro, T. A., Khan, T. M., Bailey, D. G., Gao, J., & Mir, N. (2016). Automatic retinal vessel extraction algorithm based on contrast-sensitive schemes. In D. Bailey, G. S. Gupta, & S. Marsland (Eds.), Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ) (pp. 1-5). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IVCNZ.2016.7804441

Khan, Mohammad A. U. ; Soomro, Toufique A. ; Khan, Tariq M. et al. / Automatic retinal vessel extraction algorithm based on contrast-sensitive schemes. Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ). editor / Donald Bailey ; Gourab Sen Gupta ; Stephen Marsland. Piscataway, NJ : Institute of Electrical and Electronics Engineers, 2016. pp. 1-5

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title = "Automatic retinal vessel extraction algorithm based on contrast-sensitive schemes",

abstract = "Retinal vessel segmentation plays a key role in the detection of numerous eye diseases, and its reliable computerised implementation becomes important for automatic retinal disease screening systems. A large number of retinal vessel segmentation algorithms have been reported, primarily based on three main steps including making the background uniform, second-order Gaussian detector application and finally the region-grown bi-narization. Although these methods improve the accuracy levels, their sensitivity to low-contrast vessels still needs attention. In this paper, some contrast-sensitive approaches are discussed that once embedded in the conventional algorithm results in improved sensitivity for a given retinal vessel extraction technique. The impact of these add-on modules is assessed on publicly available databases like DRIVE and STARE and found to provide promising results.",

author = "Khan, {Mohammad A. U.} and Soomro, {Toufique A.} and Khan, {Tariq M.} and Bailey, {Donald G.} and Junbin Gao and Nighat Mir",

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booktitle = "Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ)",

publisher = "Institute of Electrical and Electronics Engineers",

note = "International Conference on Image and Vision Computing New Zealand (2016) ; Conference date: 21-11-2016 Through 22-11-2016",

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Khan, MAU, Soomro, TA, Khan, TM, Bailey, DG, Gao, J & Mir, N 2016, Automatic retinal vessel extraction algorithm based on contrast-sensitive schemes. in D Bailey, GS Gupta & S Marsland (eds), Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ). Institute of Electrical and Electronics Engineers, Piscataway, NJ, pp. 1-5, International Conference on Image and Vision Computing New Zealand (2016), Palmerston North, New Zealand, 21/11/16. https://doi.org/10.1109/IVCNZ.2016.7804441

Automatic retinal vessel extraction algorithm based on contrast-sensitive schemes. / Khan, Mohammad A. U.; Soomro, Toufique A.; Khan, Tariq M. et al.

Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ). ed. / Donald Bailey; Gourab Sen Gupta; Stephen Marsland. Piscataway, NJ : Institute of Electrical and Electronics Engineers, 2016. p. 1-5.

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

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AB - Retinal vessel segmentation plays a key role in the detection of numerous eye diseases, and its reliable computerised implementation becomes important for automatic retinal disease screening systems. A large number of retinal vessel segmentation algorithms have been reported, primarily based on three main steps including making the background uniform, second-order Gaussian detector application and finally the region-grown bi-narization. Although these methods improve the accuracy levels, their sensitivity to low-contrast vessels still needs attention. In this paper, some contrast-sensitive approaches are discussed that once embedded in the conventional algorithm results in improved sensitivity for a given retinal vessel extraction technique. The impact of these add-on modules is assessed on publicly available databases like DRIVE and STARE and found to provide promising results.

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BT - Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ)

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Khan MAU, Soomro TA, Khan TM, Bailey DG, Gao J, Mir N. Automatic retinal vessel extraction algorithm based on contrast-sensitive schemes. In Bailey D, Gupta GS, Marsland S, editors, Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ). Piscataway, NJ: Institute of Electrical and Electronics Engineers. 2016. p. 1-5 https://doi.org/10.1109/IVCNZ.2016.7804441

Automatic retinal vessel extraction algorithm based on contrast-sensitive schemes

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