Name
Title | ||
|---|---|---|
Application-Driven No-Reference Quality Assessment for Dermoscopy Images with Multiple Distortions. |
Abstract | ||
|---|---|---|
Goal: Dermoscopy images often suffer from blur and uneven illumination distortions that occur during acquisition, which can adversely influence consequent automatic image analysis results on potential lesion objects. The purpose of this paper is to deploy an algorithm that can automatically assess the quality of dermoscopy images. Such an algorithm could be used to direct image recapture or correc... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TBME.2015.2493580 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Lighting,Image quality,Measurement,Algorithm design and analysis,Prediction algorithms,Nonlinear distortion | Computer vision,Algorithm design,Computer science,Fuzzy logic,Image quality,Ground truth,Prediction algorithms,Artificial intelligence,Nonlinear distortion,Artificial neural network,Distortion | Journal |
Volume | Issue | ISSN |
63 | 6 | 0018-9294 |
Citations | PageRank | References |
4 | 0.48 | 25 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fengying Xie | 1 | 182 | 15.33 |
| Yanan Lu | 2 | 19 | 1.34 |
| Alan C. Bovik | 3 | 5062 | 349.55 |
| Zhiguo Jiang | 4 | 19 | 3.70 |
| Rusong Meng | 5 | 4 | 0.48 |