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Communication Dans Un Congrès Année : 2008

Astronomical Object Detection with a Robust Hit-or-Miss Transform

Résumé

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 Mathematical Morphology, well-known for its appropriate care of spatial information (shape and luminance profile of LSB galaxies 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.
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Dates et versions

hal-00516054 , version 1 (08-09-2010)

Identifiants

  • HAL Id : hal-00516054 , version 1

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Benjamin Perret, Sébastien Lefèvre, Christophe Collet, Bernd Vollmer. Astronomical Object Detection with a Robust Hit-or-Miss Transform. 16th EURASIP European Signal Processing Conference (EUSIPCO), 2008, Switzerland. ⟨hal-00516054⟩
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