Zeeman, Sander (2021) Star Removal in Astronomical Images. Bachelor's Thesis, Computing Science.
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Abstract
As increasingly many images get taken of outer space, astronomers are facing great difficulties when trying to identify any significant objects in these images. Contrast stretching is used to highlight these objects. However, stars are very bright point sources, which nearly nullifies the effectiveness of contrast stretching. In this thesis, we explored the idea of building a star removal software to solve this issue. We applied state of the art object detectors to identify all objects in an image, then attempted to filter all stars from this set of objects by thresholding on numerous attributes of an object. We determined that our software, while not ready to be adopted in the standard image processing pipeline used by astronomers, in combination with some manual adjustments, will allow for contrast stretching to have improved results. Additionally, the software we developed can be used as a framework, which future research could build upon.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Supervisor name: | Wilkinson, M.H.F. and Haigh, C.S. |
| Degree programme: | Computing Science |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 31 Aug 2021 11:54 |
| Last Modified: | 31 Aug 2021 11:54 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/25946 |
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