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

Abstract : 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.
Type de document :
Communication dans un congrès
16th EURASIP European Signal Processing Conference (EUSIPCO), 2008, Switzerland. 2008
Liste complète des métadonnées


https://hal.archives-ouvertes.fr/hal-00516054
Contributeur : Sébastien Lefèvre <>
Soumis le : mercredi 8 septembre 2010 - 16:11:49
Dernière modification le : mercredi 8 septembre 2010 - 16:19:21
Document(s) archivé(s) le : mardi 23 octobre 2012 - 15:45:53

Fichier

eusipco2008.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00516054, version 1

Collections

Citation

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. 2008. <hal-00516054>

Partager

Métriques

Consultations de
la notice

134

Téléchargements du document

60