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

doi:10.1109/ICIP40778.2020.9191276

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 proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	2020 IEEE International Conference on Image Processing
Subtitle of host publication	(ICIP)
Publisher	IEEE
Pages	16-20
Number of pages	5
ISBN (Electronic)	9781728163956
ISBN (Print)	978-7281-6395-6
DOIs	https://doi.org/10.1109/ICIP40778.2020.9191276
Publication status	Published - Oct-2020
Event	2020 IEEE International Conference on Image Processing (ICIP) - Abu Dhabi, United Arab Emirates Duration: 25-Oct-2020 → 28-Oct-2020

Conference

Conference	2020 IEEE International Conference on Image Processing (ICIP)
Period	25/10/2020 → 28/10/2020

Keywords

astronomical source detection
component-graphs
Morphology
multiband image

Access to Document

10.1109/ICIP40778.2020.9191276

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CGO: Multiband Astronomical Source Detection With Component-Graphs
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Cite this

@inproceedings{d486e62d617545c98a4c79c407f42e67,

title = "CGO: Multiband Astronomical Source Detection With Component-Graphs",

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.",

keywords = "astronomical source detection, component-graphs, Morphology, multiband image",

author = "Nguyen, {Thanh Xuan} and Giovanni Chierchia and Laurent Najman and Aku Venhola and Caroline Haigh and Reynier Peletier and Wilkinson, {Michael H.f.} and Hugues Talbot and Benjamin Perret",

year = "2020",

month = oct,

doi = "10.1109/ICIP40778.2020.9191276",

language = "English",

isbn = "978-7281-6395-6 ",

pages = "16--20",

booktitle = "2020 IEEE International Conference on Image Processing",

publisher = "IEEE",

note = "2020 IEEE International Conference on Image Processing (ICIP) ; Conference date: 25-10-2020 Through 28-10-2020",

}

Nguyen, TX, Chierchia, G, Najman, L, Venhola, A, Haigh, C , Peletier, R , Wilkinson, MHF, Talbot, H & Perret, B 2020, CGO: Multiband Astronomical Source Detection With Component-Graphs. in 2020 IEEE International Conference on Image Processing: (ICIP)., 9191276, IEEE, pp. 16-20, 2020 IEEE International Conference on Image Processing (ICIP), 25/10/2020. https://doi.org/10.1109/ICIP40778.2020.9191276

CGO : Multiband Astronomical Source Detection With Component-Graphs. / Nguyen, Thanh Xuan; Chierchia, Giovanni; Najman, Laurent; Venhola, Aku; Haigh, Caroline ; Peletier, Reynier ; Wilkinson, Michael H.f.; Talbot, Hugues; Perret, Benjamin.

2020 IEEE International Conference on Image Processing: (ICIP). IEEE, 2020. p. 16-20 9191276.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - CGO

T2 - 2020 IEEE International Conference on Image Processing (ICIP)

AU - Nguyen, Thanh Xuan

AU - Chierchia, Giovanni

AU - Najman, Laurent

AU - Venhola, Aku

AU - Haigh, Caroline

AU - Peletier, Reynier

AU - Wilkinson, Michael H.f.

AU - Talbot, Hugues

AU - Perret, Benjamin

PY - 2020/10

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N2 - 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.

AB - 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.

KW - astronomical source detection

KW - component-graphs

KW - Morphology

KW - multiband image

U2 - 10.1109/ICIP40778.2020.9191276

DO - 10.1109/ICIP40778.2020.9191276

M3 - Conference contribution

SN - 978-7281-6395-6

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EP - 20

BT - 2020 IEEE International Conference on Image Processing

PB - IEEE

Y2 - 25 October 2020 through 28 October 2020

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