Name
Abstract | ||
|---|---|---|
The Graphics processors or GPUs have become in a few years powerful tools for applications that require a massively parallel computing. Currently include the applications in multimedia processing, the engineering science and image processing in real time. They offer many advantages such as acceleration of treatment and down energy consumption from an equivalent CPU power. In this paper, we will show the effectiveness of our approach sobel filter (features extraction) by parallelizing the processing applied to different images with different sizes. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IPAS.2016.7880126 | 2016 International Image Processing, Applications and Systems (IPAS) |
Keywords | Field | DocType |
Sobel filter,Features extraction,GPU,CUDA,Hardware implementation | Graphics,Central processing unit,Massively parallel,Computer science,Parallel computing,Image processing,Sobel operator,Feature extraction,CPU power dissipation,General-purpose computing on graphics processing units,Computer engineering | Conference |
ISBN | Citations | PageRank |
978-1-5090-1646-4 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mouna Afif | 1 | 9 | 3.28 |
| Yahia Said | 2 | 21 | 7.09 |
| Haythem Bahri | 3 | 5 | 0.84 |
| Mohamed Atri | 4 | 154 | 27.75 |