High Level Modeling and Hardware Implementation of Image Processing Algorithms Using XSG
| dc.contributor.author | Kamel Messaoudi | |
| dc.contributor.author | Hakim Doghmane | |
| dc.contributor.author | Hocine Bourouba | |
| dc.contributor.author | El-Bay Bourennane | |
| dc.contributor.author | Salah Toumi | |
| dc.date.accessioned | 2023-09-06T21:54:58Z | |
| dc.date.available | 2023-09-06T21:54:58Z | |
| dc.date.issued | 2019-12-17 | |
| dc.description.abstract | Design of Systems-on-Chip has become very common especially with the remarkable advances in the field of high-level system modeling. In recent years, Matlab also offers a Simulink interface for the design of hardware systems. From a high-level specification, Matlab provides self-generation of HDL codes and/or FPGA configuration codes while providing other benefits of easy simulation. In addition, a large part of the Systems-on-Chip use at least one image processing algorithm and at the same time border detection is one of the most used algorithms. This paper presents a study and a hardware implementation of various algorithms of borders detection realized under Xilinx System-Generator. The various algorithms are implemented using Xilinx FPGA device, the simulation and synthesis results are also compared. We use the Xilinx Zed-Board for physical implementations in-the-loop. | |
| dc.identifier.uri | http://doi-org-443.webvpn.fjmu.edu.cn/10.1007/978-981-15-6403-1_71 | |
| dc.identifier.uri | https://dspace.univ-soukahras.dz/handle/123456789/1572 | |
| dc.language.iso | en | |
| dc.publisher | Springer | |
| dc.relation.ispartofseries | Lecture Notes in Electrical Engineering, vol 682, pp. 1033-1045 | |
| dc.title | High Level Modeling and Hardware Implementation of Image Processing Algorithms Using XSG | |
| dc.title.alternative | Lecture Notes in Electrical Engineering 682 | |
| dc.type | Book chapter |
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