Automated detection of anatomical structures in retinal images

P. C. Siddalingaswamy; G. K. Prabhu

doi:10.1109/ICCIMA.2007.98

Automated detection of anatomical structures in retinal images

P. C. Siddalingaswamy, G. K. Prabhu

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

22 Citations (Scopus)

Abstract

An efficient detection of anatomical structures in retinal images is the fundamental step in an automated retinal image analysis system. This paper presents an algorithm for the localization and segmentation of optic disc and fovea. Optic disc localization is achieved by iterative threshold method to identify initial set of candidate regions followed by connected component analysis to locate the actual optic disc. The fovea is identified by finding the darkest region in the image following the priori geometric criteria based on anatomy of human eye. The algorithm is evaluated against a carefully selected database of 50 ocular fundus images. The system achieves a sensitivity of 92% for the optic disc and 94% for the fovea.

Original language	English
Title of host publication	Proceedings - International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2007
Pages	164-168
Number of pages	5
Volume	3
DOIs	https://doi.org/10.1109/ICCIMA.2007.98
Publication status	Published - 2008
Event	International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2007 - Sivakasi, Tamil Nadu, India Duration: 13-12-2007 → 15-12-2007

Publication series

Name	Proceedings - International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2007
Volume	3

Conference

Conference	International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2007
Country/Territory	India
City	Sivakasi, Tamil Nadu
Period	13-12-07 → 15-12-07

All Science Journal Classification (ASJC) codes

General Computer Science
Electrical and Electronic Engineering
Media Technology

Access to Document

10.1109/ICCIMA.2007.98

Cite this

Siddalingaswamy, P. C., & Prabhu, G. K. (2008). Automated detection of anatomical structures in retinal images. In Proceedings - International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2007 (Vol. 3, pp. 164-168). Article 4426361 (Proceedings - International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2007; Vol. 3). https://doi.org/10.1109/ICCIMA.2007.98

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title = "Automated detection of anatomical structures in retinal images",

abstract = "An efficient detection of anatomical structures in retinal images is the fundamental step in an automated retinal image analysis system. This paper presents an algorithm for the localization and segmentation of optic disc and fovea. Optic disc localization is achieved by iterative threshold method to identify initial set of candidate regions followed by connected component analysis to locate the actual optic disc. The fovea is identified by finding the darkest region in the image following the priori geometric criteria based on anatomy of human eye. The algorithm is evaluated against a carefully selected database of 50 ocular fundus images. The system achieves a sensitivity of 92% for the optic disc and 94% for the fovea.",

author = "Siddalingaswamy, {P. C.} and Prabhu, {G. K.}",

year = "2008",

doi = "10.1109/ICCIMA.2007.98",

language = "English",

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series = "Proceedings - International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2007",

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note = "International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2007 ; Conference date: 13-12-2007 Through 15-12-2007",

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Siddalingaswamy, PC & Prabhu, GK 2008, Automated detection of anatomical structures in retinal images. in Proceedings - International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2007. vol. 3, 4426361, Proceedings - International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2007, vol. 3, pp. 164-168, International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2007, Sivakasi, Tamil Nadu, India, 13-12-07. https://doi.org/10.1109/ICCIMA.2007.98

Automated detection of anatomical structures in retinal images. / Siddalingaswamy, P. C.; Prabhu, G. K.
Proceedings - International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2007. Vol. 3 2008. p. 164-168 4426361 (Proceedings - International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2007; Vol. 3).

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

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AB - An efficient detection of anatomical structures in retinal images is the fundamental step in an automated retinal image analysis system. This paper presents an algorithm for the localization and segmentation of optic disc and fovea. Optic disc localization is achieved by iterative threshold method to identify initial set of candidate regions followed by connected component analysis to locate the actual optic disc. The fovea is identified by finding the darkest region in the image following the priori geometric criteria based on anatomy of human eye. The algorithm is evaluated against a carefully selected database of 50 ocular fundus images. The system achieves a sensitivity of 92% for the optic disc and 94% for the fovea.

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Siddalingaswamy PC, Prabhu GK. Automated detection of anatomical structures in retinal images. In Proceedings - International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2007. Vol. 3. 2008. p. 164-168. 4426361. (Proceedings - International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2007). doi: 10.1109/ICCIMA.2007.98

Automated detection of anatomical structures in retinal images

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