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Astronomical Object Detection With A Robust Hit-Or-Miss Transform
January 2015 • Benjamin Perret, Sébastien Lefèvre, Christophe Collet, B. Vollmer
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…
Computer Science
Luminance
Computer Vision
Artificial Intelligence
Brightness
Galaxy
Telescope
Object Detection
Physics
Astronomy