Name
Title | ||
|---|---|---|
Robust Hidden Markov Model based intelligent blood vessel detection of fundus images. |
Abstract | ||
|---|---|---|
•A new robust fundus vessel tracking technique has been proposed.•The proposed technique tackles the challenging problem of blood vessels network detection in human retinal image.•Challenging occlusion problem has been resolved by incorporating of Hidden Markov Mode.•The proposed technique has been tested at publically available DRIVE dataset.•The proposed approach successfully segregated the retinal blood vessels in fundus images. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.cmpb.2017.08.023 | Computer Methods and Programs in Biomedicine |
Keywords | Field | DocType |
HMM,Retinal Fundus Image,Retina,Biometrics,Vasculature | Computer vision,Occlusion,Computer science,Segmentation,Fundus (eye),Artificial intelligence,Retinal,Biometrics,Hidden Markov model,Retinal blood vessels,Blood vessel | Journal |
Volume | Issue | ISSN |
151 | C | 0169-2607 |
Citations | PageRank | References |
2 | 0.36 | 21 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mehdi Hassan | 1 | 57 | 6.11 |
| Muhammad Amin | 2 | 10 | 5.51 |
| iqbal murtza | 3 | 7 | 2.78 |
| khan | 4 | 623 | 44.09 |
| Asmatullah Chaudhry | 5 | 97 | 8.80 |