Name
Title | ||
|---|---|---|
Detecting the optic disc boundary in digital fundus images using morphological, edge detection, and feature extraction techniques. |
Abstract | ||
|---|---|---|
Optic disc (OD) detection is an important step in developing systems for automated diagnosis of various serious ophthalmic pathologies. This paper presents a new template-based methodology for segmenting the OD from digital retinal images. This methodology uses morphological and edge detection techniques followed by the Circular Hough Transform to obtain a circular OD boundary approximation. It requires a pixel located within the OD as initial information. For this purpose, a location methodology based on a voting-type algorithm is also proposed. The algorithms were evaluated on the 1200 images of the publicly available MESSIDOR database. The location procedure succeeded in 99% of cases, taking an average computational time of 1.67 s. with a standard deviation of 0.14 s. On the other hand, the segmentation algorithm rendered an average common area overlapping between automated segmentations and true OD regions of 86%. The average computational time was 5.69 s with a standard deviation of 0.54 s. Moreover, a discussion on advantages and disadvantages of the models more generally used for OD segmentation is also presented in this paper. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TMI.2010.2053042 | IEEE Trans. Med. Imaging |
Keywords | Field | DocType |
eye,messidor database,circular hough transform,diseases,telemedicine,biomedical optical imaging,diabetic retinopathy,image segmentation,digital fundus images,optic disc boundary,glaucoma,standard deviation,feature extraction,edge detection,feature extraction techniques,blindness,segmentation algorithm,retinal imaging,optic disc (od) segmentation,medical image processing,shape,segmentation,hough transform,pixel,ellipses | Computer vision,Segmentation,Edge detection,Computer science,Hough transform,Optic disc,Feature extraction,Image segmentation,Artificial intelligence,Pixel,Standard deviation | Journal |
Volume | Issue | ISSN |
29 | 11 | 1558-254X |
Citations | PageRank | References |
95 | 3.82 | 56 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Arturo Aquino | 1 | 130 | 9.54 |
| Manuel Emilio Gegúndez Arias | 2 | 157 | 9.00 |
| Diego Marin | 3 | 162 | 9.70 |