Image Analysis in Astronomy for very large vision machine
| dc.creator | Iovane, G. | |
| dc.date | 2003-08-22 | |
| dc.date.accessioned | 2026-07-07T03:20:15Z | |
| dc.date.available | 2026-07-07T03:20:15Z | |
| dc.description | It is developed a very complex system (hardware/software) to detect luminosity variations connected with the discovery of new planets outside the Solar System. Traditional imaging approaches are very demanding in terms of computing time; then, the implementation of an automatic vision and decision software architecture is presented. It allows to perform an on-line discrimination of interesting events by using two levels of triggers. A fundamental challenge was to work with very large CCD camera (even 16k*16k pixels) in line with very large telescopes. Then, the architecture can use a distributed parallel network system based on a maximum of 256 standard workstations. | |
| dc.description | 3 pages, 9 figures, Proceeding of NIWEEK 2002 (sponsored by National Instruments), Austin (Usa), 2002 | |
| dc.identifier | https://arxiv.org/abs/cs/0308038 | |
| dc.identifier | http://arxiv.org/abs/cs/0308038 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/31761 | |
| dc.subject | Computer Vision and Pattern Recognition | |
| dc.subject | Astrophysics | |
| dc.subject | Distributed, Parallel, and Cluster Computing | |
| dc.subject | I.4,I.5 | |
| dc.title | Image Analysis in Astronomy for very large vision machine | |
| dc.type | text |