Name
Abstract | ||
|---|---|---|
In this paper we present a complete neuromorphic image processing system and we report the development of an integrated CMOS low-power circuit to test the feasibility of its different stages. The image system consists of different parallel-processing stages: phototransduction, non-linear filtering, oscillatory segmentation network and post-processing to extract fundamental characteristics. The circuit emulates some parts of the behaviour of biological neural networks as found in the retina and the visual cortex of living beings by adopting the neuromorphic approach that takes advantage of analogue VLSI electronics. The final objective is to develop a small and low-power system embedded in a single focal-plane integrated circuit suitable for portable applications. Each stage is briefly described. Simulations and experimental results of some basic blocks are also reported. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1016/j.neucom.2005.09.019 | Neurocomputing |
Keywords | Field | DocType |
Neuromorphic engineering,VLSI,Electronic oscillators,Vision chip | Vision chip,Machine vision,Computer science,Neuromorphic engineering,Image processing,Electronics,Artificial intelligence,Computer hardware,Artificial neural network,Very-large-scale integration,Integrated circuit,Pattern recognition,Embedded system | Journal |
Volume | Issue | ISSN |
69 | 16 | 0925-2312 |
Citations | PageRank | References |
4 | 0.41 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jordi Cosp | 1 | 36 | 6.25 |
| Jordi Madrenas | 2 | 150 | 27.87 |
| Daniel Fernández | 3 | 27 | 6.82 |