2026-04-17T06:04:49Zhttps://recercat.cat/oai/requestoai:recercat.cat:10256/85202024-05-22T09:48:06Zcom_2072_452955com_2072_2054col_2072_452957
RECERCAT
author
Masias Moyset, Marc
author
Freixenet i Bosch, Jordi
author
Lladó Bardera, Xavier
author
Peracaula i Bosch, Marta
2024-05-22T09:48:06Z
2024-05-22T09:48:06Z
2012
http://hdl.handle.net/10256/8520
Astronomical images provide information about the great variety of celestial objects in the Universe, the physical processes taking place in it, and the formation and evolution of the cosmos. Great efforts are made to automatically detect stellar bodies in images due to the large volumes of data and the fact that the intensity of many sources is at the detection level of the instrument. In this paper, we review the main approaches to automated source detection. The main features of the detection algorithms are analysed and the most important techniques are classified into different strategies according to their type of image transformation and their main detection principle; at the same time their strengths and weaknesses are highlighted. A qualitative and quantitative evaluation of the results of the most representative approaches is also presentedThis work has been supported by Grant AYA2010-21782-C03-02 from EMCI-Ministerio de Ciencia e Innovacion. MM holds an FI grant 2011FI_B 00081
Tots els drets reservats info:eu-repo/semantics/openAccess
Imatges -- Processament
Image processing
Imatge, Tècniques d'
Imaging systems
A review of source detection approaches in astronomical images
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion