A new method for optic disc localization in retinal images

2016 ◽  
Author(s):  
Manish Kumar Aggarwal ◽  
Vijay Khare
Keyword(s):  
Optic Disc ◽  
New Method ◽  
Retinal Images ◽  
Optic Disc Localization

Automatic optic disc localization and segmentation in retinal images by a line operator and level sets

2016 ◽  
Vol 24 (s2) ◽  
pp. S767-S776 ◽  
Author(s):  
Fulong Ren ◽  
Wei Li ◽  
Jinzhu Yang ◽  
Huan Geng ◽  
Dazhe Zhao
Keyword(s):  
Optic Disc ◽  
Level Sets ◽  
Retinal Images ◽  
Optic Disc Localization ◽  
Line Operator

scholarly journals Contrast based circular approximation for accurate and robust optic disc segmentation in retinal images

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3763 ◽  
Author(s):  
Jose Sigut ◽  
Omar Nunez ◽  
Francisco Fumero ◽  
Marta Gonzalez ◽  
Rafael Arnay
Keyword(s):  
Optic Disc ◽  
Detection Rate ◽  
State Of The Art ◽  
Retinal Images ◽  
Disc Center ◽  
Circular Model ◽  
Starting Point ◽  
Optic Disc Localization ◽  
Average Contrast ◽  
Overlap Coefficient

A new method for automatic optic disc localization and segmentation is presented. The localization procedure combines vascular and brightness information to provide the best estimate of the optic disc center which is the starting point for the segmentation algorithm. A detection rate of 99.58% and 100% was achieved for the Messidor and ONHSD databases, respectively. A simple circular approximation to the optic disc boundary is proposed based on the maximum average contrast between the inner and outer ring of a circle centered on the estimated location. An average overlap coefficient of 0.890 and 0.865 was achieved for the same datasets, outperforming other state of the art methods. The results obtained confirm the advantages of using a simple circular model under non-ideal conditions as opposed to more complex deformable models.

Optic Disc Localization in Retinal Images

2013 ◽  
pp. 453-463 ◽  
Author(s):  
Florin Rotaru ◽  
Silviu Ioan Bejinariu ◽  
Cristina Diana Niţă ◽  
Mihaela Costin
Keyword(s):  
Optic Disc ◽  
Retinal Images ◽  
Optic Disc Localization

New Simplified Fovea and Optic Disc Localization Method for Retinal Images

2019 ◽  
Vol 9 (4) ◽  
pp. 847-855 ◽  
Author(s):  
Shaohua Zheng ◽  
Youxing Zhu ◽  
Lin Pan ◽  
Ting Zhou
Keyword(s):  
Optic Disc ◽  
Retinal Images ◽  
Localization Method ◽  
Optic Disc Localization

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

2017 ◽  
pp. 679-692
Author(s):  
A. Elbalaoui ◽  
Mohamed Fakir ◽  
M. Boutaounte ◽  
A. Merbouha
Keyword(s):  
Diabetic Retinopathy ◽  
Optic Disc ◽  
Digital Images ◽  
Scale Space ◽  
New Method ◽  
Retinal Images ◽  
Anatomical Structures ◽  
Disc Center ◽  
Curvature Scale Space ◽  
Automatic Localization

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.

scholarly journals An Automatic Localization of Optic Disc in Low Resolution Retinal Images by Modified Directional Matched Filter

2018 ◽  
Vol 16 (1) ◽  
pp. 1-7
Author(s):  
Murugan Raman ◽  
Reeba Korah ◽  
Kavitha Tamilselvan
Keyword(s):  
Diabetic Retinopathy ◽  
Optic Disc ◽  
Matched Filter ◽  
Retinal Images ◽  
Low Resolution ◽  
Automated Method ◽  
Retinal Blood Vessels ◽  
Optic Disc Localization ◽  
Automatic Localization ◽  
Success Percentage

An automatic optic disc localization in retinal images used to screen eye related diseases like diabetic retinopathy. Many techniques are available to detect Optic Disc (OD) in high-resolution retinal images. Unfortunately, there are no efficient methods available to detect OD in low-resolution retinal images. The objective of this research paper is to develop an automated method for localization of Optic Disc in low resolution retinal images. This paper proposes a modified directional matched filter parameters of the retinal blood vessels to localize the center of optic disc. The proposed method was implemented in MATLAB and evaluated both normal and abnormal low resolution retinal images using the subset of Optic Nerve Head Segmentation Dataset (ONHSD) and the success percentage was found to be an average of 96.96% with 23seconds

New optic disc localization approach in retinal images

2013 ◽  
Author(s):  
Florin Rotaru ◽  
Silviu-Ioan Bejinariu ◽  
Cristina Nita ◽  
Ramona Luca ◽  
Camelia Lazar
Keyword(s):  
Optic Disc ◽  
Retinal Images ◽  
Optic Disc Localization ◽  
Localization Approach
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