Automatic localization of the macula in a supervised graph-based approach with contextual superpixel features

Damon W.K. Wong; Jiang Liu; Ngan Meng Tan; Fengshou Yin; Xiangang Cheng; Gemmy C.M. Cheung; M. Bhargava; Tien Yin Wong

Automatic localization of the macula in a supervised graph-based approach with contextual superpixel features

Damon W.K. Wong, Jiang Liu, Ngan Meng Tan, Fengshou Yin, Xiangang Cheng, Gemmy C.M. Cheung, M. Bhargava, Tien Yin Wong

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

2 Citations (Scopus)

Abstract

Localization of the macula centre is an important step in retinal image analysis, in particular for macular disease. We propose the use of a superpixelbased approach for macular localization. Features are extracted from the superpixels, including a proposed feature which aims to describe the extent of the local region due to the superpixel influence. These features are used to calculate probability estimates to determine the macula centre. We evaluated our results on a large dataset of 728 images comprising of normal, glaucoma and AMD eyes. The results are promising. Our method achieved an average error of 30pixels, with all the detected macula centres within 1/8 disc diameters of the reference ground truth, which is lower than the other methods tested.

Original language	English
Title of host publication	ICPR 2012 - 21st International Conference on Pattern Recognition
Pages	2063-2066
Number of pages	4
Publication status	Published - 2012
Externally published	Yes
Event	21st International Conference on Pattern Recognition, ICPR 2012 - Tsukuba, Japan Duration: 11 Nov 2012 → 15 Nov 2012

Publication series

Name	Proceedings - International Conference on Pattern Recognition
ISSN (Print)	1051-4651

Conference

Conference	21st International Conference on Pattern Recognition, ICPR 2012
Country/Territory	Japan
City	Tsukuba
Period	11/11/12 → 15/11/12

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Cite this

Wong, D. W. K., Liu, J., Tan, N. M., Yin, F., Cheng, X., Cheung, G. C. M., Bhargava, M., & Wong, T. Y. (2012). Automatic localization of the macula in a supervised graph-based approach with contextual superpixel features. In ICPR 2012 - 21st International Conference on Pattern Recognition (pp. 2063-2066). Article 6460566 (Proceedings - International Conference on Pattern Recognition).

@inproceedings{e5b80c6f00284f49b04f965b214e17bc,

title = "Automatic localization of the macula in a supervised graph-based approach with contextual superpixel features",

abstract = "Localization of the macula centre is an important step in retinal image analysis, in particular for macular disease. We propose the use of a superpixelbased approach for macular localization. Features are extracted from the superpixels, including a proposed feature which aims to describe the extent of the local region due to the superpixel influence. These features are used to calculate probability estimates to determine the macula centre. We evaluated our results on a large dataset of 728 images comprising of normal, glaucoma and AMD eyes. The results are promising. Our method achieved an average error of 30pixels, with all the detected macula centres within 1/8 disc diameters of the reference ground truth, which is lower than the other methods tested.",

author = "Wong, {Damon W.K.} and Jiang Liu and Tan, {Ngan Meng} and Fengshou Yin and Xiangang Cheng and Cheung, {Gemmy C.M.} and M. Bhargava and Wong, {Tien Yin}",

year = "2012",

language = "English",

isbn = "9784990644109",

series = "Proceedings - International Conference on Pattern Recognition",

pages = "2063--2066",

booktitle = "ICPR 2012 - 21st International Conference on Pattern Recognition",

}

Wong, DWK, Liu, J, Tan, NM, Yin, F, Cheng, X, Cheung, GCM, Bhargava, M & Wong, TY 2012, Automatic localization of the macula in a supervised graph-based approach with contextual superpixel features. in ICPR 2012 - 21st International Conference on Pattern Recognition., 6460566, Proceedings - International Conference on Pattern Recognition, pp. 2063-2066, 21st International Conference on Pattern Recognition, ICPR 2012, Tsukuba, Japan, 11/11/12.

Automatic localization of the macula in a supervised graph-based approach with contextual superpixel features. / Wong, Damon W.K.; Liu, Jiang; Tan, Ngan Meng et al.
ICPR 2012 - 21st International Conference on Pattern Recognition. 2012. p. 2063-2066 6460566 (Proceedings - International Conference on Pattern Recognition).

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

TY - GEN

T1 - Automatic localization of the macula in a supervised graph-based approach with contextual superpixel features

AU - Wong, Damon W.K.

AU - Liu, Jiang

AU - Tan, Ngan Meng

AU - Yin, Fengshou

AU - Cheng, Xiangang

AU - Cheung, Gemmy C.M.

AU - Bhargava, M.

AU - Wong, Tien Yin

PY - 2012

Y1 - 2012

N2 - Localization of the macula centre is an important step in retinal image analysis, in particular for macular disease. We propose the use of a superpixelbased approach for macular localization. Features are extracted from the superpixels, including a proposed feature which aims to describe the extent of the local region due to the superpixel influence. These features are used to calculate probability estimates to determine the macula centre. We evaluated our results on a large dataset of 728 images comprising of normal, glaucoma and AMD eyes. The results are promising. Our method achieved an average error of 30pixels, with all the detected macula centres within 1/8 disc diameters of the reference ground truth, which is lower than the other methods tested.

AB - Localization of the macula centre is an important step in retinal image analysis, in particular for macular disease. We propose the use of a superpixelbased approach for macular localization. Features are extracted from the superpixels, including a proposed feature which aims to describe the extent of the local region due to the superpixel influence. These features are used to calculate probability estimates to determine the macula centre. We evaluated our results on a large dataset of 728 images comprising of normal, glaucoma and AMD eyes. The results are promising. Our method achieved an average error of 30pixels, with all the detected macula centres within 1/8 disc diameters of the reference ground truth, which is lower than the other methods tested.

UR - http://www.scopus.com/inward/record.url?scp=84874575133&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84874575133

SN - 9784990644109

T3 - Proceedings - International Conference on Pattern Recognition

SP - 2063

EP - 2066

BT - ICPR 2012 - 21st International Conference on Pattern Recognition

T2 - 21st International Conference on Pattern Recognition, ICPR 2012

Y2 - 11 November 2012 through 15 November 2012

ER -

Automatic localization of the macula in a supervised graph-based approach with contextual superpixel features

Abstract

Publication series

Conference

ASJC Scopus subject areas

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Cite this