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Proceedings Paper

Automatic detection and automatic classification of structures in astronomical images
Author(s): Rodrigo Gregorio; Mauricio Solar; Diego Mardones; Karim Pichara; Victor Parada; Ricardo Contreras
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Paper Abstract

The study of the astronomical structures is important to the astronomical community because it can help to identify objects, which can be classified based on their internal structure or their relation to other objects. For this reason, it is developed an automated tool to analyze astronomical images into its components. Firstly, a 2D images is decomposed into different spatial scales based on wavelet transform. Then, it is implemented a detection algorithms to each spatial scale, such as Clumpfind, Gaussclump, or Dendrogram techniques. The goal is to build a new algorithm and tool that is available to the community and satisfies the requirements of the next Chilean Virtual Observatory (ChiVO).

Paper Details

Date Published: 18 July 2014
PDF: 7 pages
Proc. SPIE 9152, Software and Cyberinfrastructure for Astronomy III, 91522R (18 July 2014); doi: 10.1117/12.2055579
Show Author Affiliations
Rodrigo Gregorio, Univ. Técnica Federico Santa María (Chile)
Mauricio Solar, Univ. Técnica Federico Santa María (Chile)
Diego Mardones, Univ. de Chile (Chile)
Karim Pichara, Pontificia Univ. Católica de Chile (Chile)
Victor Parada, Univ. de Santiago de Chile (Chile)
Ricardo Contreras, Univ. de Concepción (Chile)


Published in SPIE Proceedings Vol. 9152:
Software and Cyberinfrastructure for Astronomy III
Gianluca Chiozzi; Nicole M. Radziwill, Editor(s)

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