Name
Abstract | ||
|---|---|---|
OCT skin images suffer from artifacts. Speckle is the main artifact while the other one is called background noise. In this study, we propose an algorithm that significantly reduces the background noise before applying a speckle reduction method. The results show that the diagnostically relevant features in the images become clearer after applying the proposed method. We used sub-pixel weighted median filtering for speckle reduction. The results from background noise removal in combination with the proposed speckle reduction algorithm show a significant improvement in the clarity of diagnostically relevant features in in-vivo human skin images. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1117/12.2255548 | Proceedings of SPIE |
Keywords | Field | DocType |
Optical coherence tomography,Speckle reduction,filtering,image processing,image enhancement,noise removal | Noise reduction,Computer vision,Optical coherence tomography,Median filter,Background noise,Speckle pattern,Optics,Artificial intelligence,Speckle noise,Speckle reduction,Weighted median filtering,Physics | Conference |
Volume | ISSN | Citations |
10137 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 2 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zahra Turani | 1 | 0 | 0.34 |
| Emad Fatemizadeh | 2 | 117 | 13.86 |
| Saba Adabi | 3 | 7 | 1.39 |
| Darius Mehregan | 4 | 0 | 1.35 |
| Steven Daveluy | 5 | 0 | 1.01 |
| Mohammadreza Nasiriavanaki | 6 | 27 | 5.27 |