Accurately detection of retinal landmarks, like optic disc, is an important step in the computer aided diagnosis frameworks. This paper presents an efficient method for automatic detection of the optic disc’s center and estimating its boundary. The center and initial diameter of optic disc are estimated by employing an ANN classifier. The ANN classifier employs visual features of vessels and th...

Optic disc segmentation is a prerequisite in automatic analysis of retinal disease in color fundus images. In this paper, an algorithm for detection of optic disc (OD) in fundus images is presented. Mathematical morphology is used for segmentation of candidate optic disc region, followed by determining its center and approximating the circular optic disc boundary using circular model. Proposed ...

Optic disc segmentation is a prerequisite in automatic analysis of retinal disease in color fundus images. In this paper, an algorithm for detection of optic disc (OD) in fundus images is presented. Mathematical morphology is used for segmentation of candidate optic disc region, followed by determining its center and approximating the circular optic disc boundary using circular model. Proposed ...

Automated retinal image analysis has been emerging as an important diagnostic tool for early detection of eye-related diseases such as glaucoma and diabetic retinopathy. In this paper, we have presented a robust methodology for optic disc detection and boundary segmentation, which can be seen as the preliminary step in the development of a computer-assisted diagnostic system for glaucoma in ret...

In this paper we propose a method for locating the optic disc (OD) in retinal images automatically using a generalization of majority voting scheme. Applying more different optic disc detectors for voting we can achieve better performance for the automatic detection system than for each individual algorithm. The location with maximum number of OD center candidates falling within a radius predef...

PURPOSE To investigate the effect of optic disc center displacement on retinal nerve fiber layer (RNFL) measurement determined by spectral domain optical coherence tomography (SD-OCT). METHODS The optic disc center was manipulated at 1-pixel intervals in horizontal, vertical, and diagonal directions. According to the manipulated optic disc center location, the RNFL thickness data were resampl...

Optic disc detection is important in the computer-aided analysis of retinal images. It is crucial for the precise identification of the macula to enable successful grading of macular pathology such as diabetic maculopathy. However, the extreme variation of intensity features within the optic disc and intensity variations close to the optic disc boundary presents a major obstacle in automated op...

Glaucoma is a leading cause of permanent blindness. Retinal fundus image examination is useful for early detection of glaucoma. In order to evaluate the presence of glaucoma, the ophthalmologists determine the cup and disc areas and they diagnose glaucoma using a vertical cup-to-disc ratio. However, determination of the cup area is very difficult, thus we propose a method to measure the cup-to-...

Glaucoma is an eye disease that leads to vision loss. The symptoms of the glaucoma occurs when disease is quite advance. Glaucoma is called ‘silent thief of sight’ so, that early detection of glaucoma is very essential. In existing approach three methods are used to detect glaucoma namely Assessment of raised intraocular pressure (IOP).Assessment of abnormal visual field. Assessment of damaged ...

Optic disc (OD) detection is a main step while developing automated screening systems for diabetic retinopathy. Optic disc boundary and localization of macula are the two features of retina was necessary for the detection of exudates and also knowing the severity of the diabetic maculopathy. According to the prior information, the diameter of optic disc in a standard retinal image, connected co...