Abstract | ||
---|---|---|
This paper presents a novel classification-based optic disc (OD) segmentation algorithm that detects the OD boundary and the location of vessel origin (VO) pixel. First, the green plane of each fundus image is resized and morphologically reconstructed using a circular structuring element. Bright regions are then extracted from the morphologically reconstructed image that lie in close vicinity of t... |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/JBHI.2015.2473159 | IEEE Journal of Biomedical and Health Informatics |
Keywords | Field | DocType |
Biomedical imaging,Blood vessels,Image segmentation,Retina,Image reconstruction,Feature extraction,Transforms | Computer vision,Pattern recognition,Computer science,Segmentation,Fundus (eye),Optic disk,Feature extraction,Image segmentation,Structuring element,Pixel,Artificial intelligence,Centroid | Journal |
Volume | Issue | ISSN |
20 | 6 | 2168-2194 |
Citations | PageRank | References |
2 | 0.39 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sohini Roychowdhury | 1 | 84 | 8.03 |
Dara Koozekanani | 2 | 79 | 8.13 |
Sam N. Kuchinka | 3 | 2 | 0.39 |
keshab k parhi | 4 | 3235 | 369.07 |