Automatic detection and automatic classification of structures in astronomical images

Rodrigo Gregorio; Mauricio Solar; Diego Mardones; Karim Pichara; Victor Parada; Ricardo Contreras

doi:10.1117/12.2055579

18 July 2014 Automatic detection and automatic classification of structures in astronomical images

Rodrigo Gregorio, Mauricio Solar, Diego Mardones, Karim Pichara, Victor Parada, Ricardo Contreras

Proceedings Volume 9152, Software and Cyberinfrastructure for Astronomy III; 91522R (2014) https://doi.org/10.1117/12.2055579
Event: SPIE Astronomical Telescopes + Instrumentation, 2014, Montréal, Quebec, Canada

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).

Citation Download Citation

Rodrigo Gregorio, Mauricio Solar, Diego Mardones, Karim Pichara, Victor Parada, and Ricardo Contreras "Automatic detection and automatic classification of structures in astronomical images", Proc. SPIE 9152, Software and Cyberinfrastructure for Astronomy III, 91522R (18 July 2014); https://doi.org/10.1117/12.2055579

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available