Optic Disc Detection From Normalized Digital Fundus Images by Means of a Vessels' Direction Matched Filter

Youssif, Aliaa A. A.; Ghalwash, Atef Z.; Ghoneim, Amr S.

doi:10.1109/tmi.2007.900326

Cited by 403 publications

(216 citation statements)

References 20 publications

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“…The proposed method achieved a success rate of 95% (i.e., the OD was detected correctly in 38 out of the 40 images contained in the DRIVE database). The estimated centre is considered correct if it was positioned within 60 pixels of the manually identified centre, as proposed in (Foracchia et al, 2004), (Hoover et al, 2000), (Youssif et al, 2008). The average distance (for the 38 successful images) between the estimated OD centre and the manually identified center was 24.3 pixels.…”

Section: Resultsmentioning

confidence: 99%

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Optic Disc Detection in Retinal Images by Pattern Distance Minimization

Dias¹,

Monteiro²

2012

Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing

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Abstract:The retinal fundus photograph is widely used in the diagnosis and treatment of various eye diseases such as diabetic retinopathy and glaucoma. On the research work leading to automatic analysis of retinal images, the knowledge of the optic disc (OD) location is essential, and a new method to locate the optic disc automatically is proposed. We propose an algorithm for the detection of OD in the retina which takes advantage of the powerful preprocessing techniques such as the contrast enhancement, Gabor wavelet transform, mathematical morphology and Earth Mover's distance as the matching process. Forty images of the retina from the DRIVE database were used to evaluate the performance of the method.

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Section: Resultsmentioning

confidence: 99%

“…Several OD detection techniques make use of anatomical structures among the OD, macula, and retinal blood vessels (Youssif et al, 2008). For example, some methods are based on the anatomical structure that all major retinal blood vessels radiate from the OD.…”

Section: Introductionmentioning

confidence: 99%

Optic Disc Detection in Retinal Images by Pattern Distance Minimization

Dias¹,

Monteiro²

2012

Proceedings of the International Conference on Bio-Inspired Systems and Signal Processing

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“…The performance for the Stare dataset was significantly improved with these changes, with the optic disc center detection rising from 58% to 74%. Only few algorithms in literature present better levels of performance for this dataset [6][7][8][9] (table 2). However, these approaches are based in estimating the position of the arcades, which is a computationally demanding task.…”

Section: Discussionmentioning

confidence: 99%

Fovea and Optic Disc Detection in Retinal Images with Visible Lesions

Pinão

Oliveira²

2012

Technological Innovation for Value Creation

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Abstract. The work herein presented aims at improving the detection of the fovea and optic disk anatomical structures in color fundus photographs from patients with visible lesions. The detection algorithm consists of five steps: selection of an area in the image where the optic disk is located using Sobel operator, extraction of optic disk boundaries applying the Hough transform to detect center and diameter of optic disk, detection of the ROI (region of interest) where the fovea is located based on the optic disk center and its diameter, detection of the fovea within the ROI. The proposed improvement adds an additional mask based on an estimation of the vessels present so that lesions that lie away from the vessels do not influence the Sobel operator result. The developed algorithm has been tested in public datasets such as STARE and also on proprietary dataset with 1464 images (ground truth generated by experts).

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“…For example, some methods are based on the anatomical structure that all major retinal blood vessels radiate from the OD [15]- [18]. Some other methods make use of the relative position between the OD and the macula that often varies within a small range [19], [20].…”

Section: Od Detection Methods : a Literature Reviewmentioning

confidence: 99%

An Automatic Screening Method to Detect Optic Disc in the Retina

Murugan¹

2012

IJAIT

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The location of Optic Disc (OD) is of critical importance in retinal image analysis. This research paper carries out a new automated methodology to detect the optic disc (OD) in retinal images. OD detection helps the ophthalmologists to find whether the patient is affected by diabetic retinopathy or not. The proposed technique is to use line operator which gives higher percentage of detection than the already existing methods. The purpose of this project is to automatically detect the position of the OD in digital retinal fundus images. The method starts with converting the RGB image input into its LAB component. This image is smoothed using bilateral smoothing filter. Further, filtering is carried out using line operator. After which gray orientation and binary map orientation is carried out and then with the use of the resulting maximum image variation the area of the presence of the OD is found. The portions other

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Optic Disc Detection From Normalized Digital Fundus Images by Means of a Vessels' Direction Matched Filter

Cited by 403 publications

References 20 publications

Optic Disc Detection in Retinal Images by Pattern Distance Minimization

Optic Disc Detection in Retinal Images by Pattern Distance Minimization

Fovea and Optic Disc Detection in Retinal Images with Visible Lesions

An Automatic Screening Method to Detect Optic Disc in the Retina

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