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A review of source detection approaches in astronomical images

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 presented

This 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

Royal Astronomical Society

Manager: Ministerio de Ciencia e Innovación (Espanya)
Author: Masias Moyset, Marc
Freixenet i Bosch, Jordi
Lladó Bardera, Xavier
Peracaula i Bosch, Marta
Abstract: 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 presented
This 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
Document access: http://hdl.handle.net/2072/294897
Language: eng
Publisher: Royal Astronomical Society
Rights: Tots els drets reservats
Subject: Imatges -- Processament
Image processing
Imatge, Tècniques d’
Imaging systems
Title: A review of source detection approaches in astronomical images
Type: info:eu-repo/semantics/article
Repository: Recercat

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