Automatic Localization of the Optic Disc Center in Retinal Images Based on Angle Detection in Curvature Scale Space

Automatic Localization of the Optic Disc Center in Retinal Images Based on Angle Detection in Curvature Scale Space

A. Elbalaoui (Université Sultan Moulay Slimane, Morocco), Mohamed Fakir (Université Sultan Moulay Slimane, Morocco), M. Boutaounte (Université Sultan Moulay Slimane, Morocco) and A. Merbouha (Université Sultan Moulay Slimane, Morocco)
Copyright: © 2017 |Pages: 14
DOI: 10.4018/978-1-5225-0571-6.ch026
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Digital images of the retina is widely used for screening of patients suffering from sight threatening diseases such as Diabetic retinopathy and Glaucoma. The localization of the Optic Disc (OD) center is the first and necessary step identification and segmentation of anatomical structures and in pathological retinal images. From the center of the optic disc spreads the major blood vessels of the retina. Therefore, by considering the high number of vessels and the high number of the angles resulted from the vessels crossing, the authors propose a new method based on the number of angles in the vicinity of optic disc for localization of the center of optic disc. The first step is pre-processing of retinal image for separate the fundus from its background and increase the contrast between contours. In the second step, the authors use the Curvature Scale Space (CSS) for angle detection. In the next step, they move a window about the size of optic disc to count the number of corners. In the final step, they use the center of windows which has the most number of corners for localizing the optic disc center. The proposed method is evaluated on DRIVE, CHASE_DB1 and STARE databases and the success rate is 100, 100 and 96.3%, respectively.
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1. Introduction

Retinal imaging is increasingly used in large scale, to studies for detection of glaucoma, diabetic retinopathy age-related macular degeneration and cardiovascular disease.When an ophthalmologist uses an ophthalmoscope to look into the eye, he sees the viewof the retina represented in (Figure 1). Retina is the innermost layer of the eye and composed of many important anatomical features. The main structures of a fundus retinal image were defined as the OD, fovea, and blood vessels. The optic nerve is one of the most important organs in the human retina. The localization of the ODis the first step of most identification, segmentation, diagnosing some diseases on retinal images such as diabetic retinopathy (A. Dehghani, 2012) and retinal recognition (M Ortega1, 2009). Detection of the optic nerve is a key preprocessing component for the automatic extraction of the anatomical structures of the retina (X. Zhu, 2010).

Figure 1.

Retina as seen through an opthalmoscope

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