Astronomical Object Detection With A Robust Hit-Or-Miss Transform Article Swipe
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· 2015
· Open Access
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web: cds.u-strasbg.fr Astronomical object detection is a particularly difficult but very challenging task. Indeed, astronomical images may contain a high noise level due to huge distance within the Universe or to the low photon flow collected on telescope mirrors [1]. Some astronomical objects of interest such as Low Surface Brightness (LSB) galaxies are characterized by a very low signal-to-noise ratio and thus are rather extracted manually and then are sometimes lost or not detected. In this paper, we propose an automatic approach using Mathemati-cal Morphology, well-known for its appropriate care of spa-tial information (shape and luminance profile of LSB galax-ies is known). In order to be able to detect objects in noisy environments, we propose a new morphological operator for template matching, namely a robust hit-or-miss transform. 1.
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- Type
- preprint
- Language
- en
- Landing Page
- http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.483.5302
- OA Status
- green
- Cited By
- 5
- References
- 10
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W1569391344