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Implantation temps réel d'un algorithme de segmentation par modélisation de l'architecture du système visuel biologique
| Content Provider | Semantic Scholar |
|---|---|
| Author | Devillard, François Heit, Bernard Cecchin, Thierry |
| Copyright Year | 1999 |
| Abstract | At the present time, realtime image segmentation provides us many problems concerned its implementation and its achievements. A good alternative to the classical segmentation methods are those deduced from biological visual systems but they are very long to perform on Von Neuman architecture. Our algorithm uses a biological visual modelisation to perform an edge detection. We evaluate their characteristics as for instance computing time, memory or communication costs at every stage of processing. A scheduling of the main tasks is designed in a multiprocessor system. The obtained calculator would be useful to on-board systems that need efficient and robust algorithms for a large range of images and that without parameters settings. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://documents.irevues.inist.fr/bitstream/handle/2042/13141/ARTI1556.pdf;sequence=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |