Automatic localization of the optic disc in retinal fundus images using multiple features

Qureshi, Touseef Ahmad, Amin, Hassan, Mahfooz, Hussain , Qureshi, Rashid Jalal and Al-Diri, Bashir (2013) Automatic localization of the optic disc in retinal fundus images using multiple features. In: Bioinformatics & Bioengineering (BIBE), 2012 IEEE, 11 - 13 November 2012, Larnaca, Cyprus.

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Item Type:Conference or Workshop contribution (Presentation)
Item Status:Live Archive


Accurate optic disc localization is an essential step for a reliable retinal screening system. Existing methods for the optic disc localization may fail when encountering distractors such as imprecise boundaries, deceptive edge features and inconsistent contrast in retinal images. This paper presents an algorithm (Multi-Scheme method) for localization of the optic disc. The algorithm involves prior domain knowledge such as the optic disc size, cup-to-disc ratio (CDR) and vessel convergence feature to evaluate the confidence level for the candidate region(s) at each thresholding level. Based on the confidence level, the algorithm heuristically decides whether or not to opt for multi-scheme policy for a given image. For optimization, the Computed Response (CR) from variant versions of the same image is calculated in parallel and fits a contour to the optic disc through an iterative process of updating the location of the centre of the contour. The proposed approach has been validated using dataset ONHSD [3] and diaretdb0 [16]; and the results show the robustness and reliability of the proposed method even in the presence of distractors.

Keywords:Optic nerve head, Retinal optic disc, Localization, Computed response, Segmentation, Retinal fundus image
Subjects:G Mathematical and Computer Sciences > G760 Machine Learning
G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
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ID Code:26897
Deposited On:05 Apr 2017 11:08

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