Name
Title | ||
|---|---|---|
Determining star-image location: A new sub-pixel interpolation technique to process image centroids |
Abstract | ||
|---|---|---|
We develop a theoretical methodology to estimate the location of star centroids in images recorded by CCD and active pixel sensors. The approach may be generalized to other applications were point-sources must be located with high accuracy. In contrast with other approaches, our technique is suitable for use with non-100% fill ratio sensors. The approach is applied experimentally to two camera systems employing sensors with fill-ratios of approximately 50%. We describe experimental approaches to implement the new paradigm and characterize centroid performance using laboratory targets and against real night-sky images. Applied to a conventional CCD camera, a centroid performance of 11.6 times the raw pixel resolution is achieved. Applied to a camera employing an active-pixel sensor a performance of 12.8 is demonstrated. The approach enables the rapid development of autonomous star-camera systems without the extensive characterizations required to derive polynomic fitting coefficients employed by traditional centroid algorithms. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.cpc.2007.06.007 | Computer Physics Communications |
Keywords | Field | DocType |
07.87.+v,95.75.Fg,42.79.Pw,85.60.-q,42.25.Bs | Ccd camera,Computer vision,Machine vision,Camera auto-calibration,Interpolation,Image processing,Pixel,Artificial intelligence,Image resolution,Mathematics,Centroid | Journal |
Volume | Issue | ISSN |
177 | 9 | 0010-4655 |
Citations | PageRank | References |
12 | 1.53 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Brendan M. Quine | 1 | 21 | 5.93 |
| Valery Tarasyuk | 2 | 12 | 1.53 |
| Henok Mebrahtu | 3 | 12 | 1.53 |
| Richard Hornsey | 4 | 21 | 2.78 |