CGO: Multiband Astronomical Source Detection With Component-Graphs

Thanh Xuan Nguyen*, Giovanni Chierchia, Laurent Najman, Aku Venhola, Caroline Haigh, Reynier Peletier, Michael H.f. Wilkinson, Hugues Talbot, Benjamin Perret

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Component-graphs provide powerful and complex structures for multi-band image processing. We propose a multiband astronomical source detection framework with the component-graphs relying on a new set of component attributes. We propose two modules to differentiate nodes belong to distinct objects and to detect partial object nodes. Experiments demonstrate an improved capacity at detecting faint objects on a multi-band astronomical dataset.

Original languageEnglish
Title of host publication 2020 IEEE International Conference on Image Processing
Subtitle of host publication(ICIP)
PublisherIEEE
Pages16-20
Number of pages5
ISBN (Electronic)9781728163956
ISBN (Print)978-7281-6395-6
DOIs
Publication statusPublished - Oct-2020
Event2020 IEEE International Conference on Image Processing (ICIP) - Abu Dhabi, United Arab Emirates
Duration: 25-Oct-202028-Oct-2020

Conference

Conference2020 IEEE International Conference on Image Processing (ICIP)
Period25/10/202028/10/2020

Keywords

  • astronomical source detection
  • component-graphs
  • Morphology
  • multiband image

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