Object Detection With Component-Graphs in Multi-Band Images: Application to Source Detection in Astronomical Images

In the context of mathematical morphology, component-graphs are complex but powerful structures for multi-band image modeling, processing, and analysis. In this work, we propose a novel multi-band object detection method relying on the component-graphs and statistical hypothesis tests. Our analysis...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Thanh Xuan Nguyen, Giovanni Chierchia, Oleksandra Razim, Reynier F. Peletier, Laurent Najman, Hugues Talbot, Benjamin Perret
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Morphology component-graphs object detection astronomical object Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/92455abf4393453b94404dbebcdbc78c
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:92455abf4393453b94404dbebcdbc78c
record_format	dspace
spelling	oai:doaj.org-article:92455abf4393453b94404dbebcdbc78c2021-12-02T00:00:32ZObject Detection With Component-Graphs in Multi-Band Images: Application to Source Detection in Astronomical Images2169-353610.1109/ACCESS.2021.3128519https://doaj.org/article/92455abf4393453b94404dbebcdbc78c2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9615204/https://doaj.org/toc/2169-3536In the context of mathematical morphology, component-graphs are complex but powerful structures for multi-band image modeling, processing, and analysis. In this work, we propose a novel multi-band object detection method relying on the component-graphs and statistical hypothesis tests. Our analysis shows that component-graphs are better at capturing image structures compared to the classical component-trees, with significantly higher detection capacity. Besides, we introduce two filtering algorithms to identify duplicated and partial nodes in the component-graphs. The proposed method, applied to the detection of sources on astronomical images, demonstrates a significant improvement in detecting faint objects on both multi-band simulated and real astronomical images compared to the state of the art.Thanh Xuan NguyenGiovanni ChierchiaOleksandra RazimReynier F. PeletierLaurent NajmanHugues TalbotBenjamin PerretIEEEarticleMorphologycomponent-graphsobject detectionastronomical objectElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 156482-156491 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Morphology component-graphs object detection astronomical object Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Morphology component-graphs object detection astronomical object Electrical engineering. Electronics. Nuclear engineering TK1-9971 Thanh Xuan Nguyen Giovanni Chierchia Oleksandra Razim Reynier F. Peletier Laurent Najman Hugues Talbot Benjamin Perret Object Detection With Component-Graphs in Multi-Band Images: Application to Source Detection in Astronomical Images
description	In the context of mathematical morphology, component-graphs are complex but powerful structures for multi-band image modeling, processing, and analysis. In this work, we propose a novel multi-band object detection method relying on the component-graphs and statistical hypothesis tests. Our analysis shows that component-graphs are better at capturing image structures compared to the classical component-trees, with significantly higher detection capacity. Besides, we introduce two filtering algorithms to identify duplicated and partial nodes in the component-graphs. The proposed method, applied to the detection of sources on astronomical images, demonstrates a significant improvement in detecting faint objects on both multi-band simulated and real astronomical images compared to the state of the art.
format	article
author	Thanh Xuan Nguyen Giovanni Chierchia Oleksandra Razim Reynier F. Peletier Laurent Najman Hugues Talbot Benjamin Perret
author_facet	Thanh Xuan Nguyen Giovanni Chierchia Oleksandra Razim Reynier F. Peletier Laurent Najman Hugues Talbot Benjamin Perret
author_sort	Thanh Xuan Nguyen
title	Object Detection With Component-Graphs in Multi-Band Images: Application to Source Detection in Astronomical Images
title_short	Object Detection With Component-Graphs in Multi-Band Images: Application to Source Detection in Astronomical Images
title_full	Object Detection With Component-Graphs in Multi-Band Images: Application to Source Detection in Astronomical Images
title_fullStr	Object Detection With Component-Graphs in Multi-Band Images: Application to Source Detection in Astronomical Images
title_full_unstemmed	Object Detection With Component-Graphs in Multi-Band Images: Application to Source Detection in Astronomical Images
title_sort	object detection with component-graphs in multi-band images: application to source detection in astronomical images
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/92455abf4393453b94404dbebcdbc78c
work_keys_str_mv	AT thanhxuannguyen objectdetectionwithcomponentgraphsinmultibandimagesapplicationtosourcedetectioninastronomicalimages AT giovannichierchia objectdetectionwithcomponentgraphsinmultibandimagesapplicationtosourcedetectioninastronomicalimages AT oleksandrarazim objectdetectionwithcomponentgraphsinmultibandimagesapplicationtosourcedetectioninastronomicalimages AT reynierfpeletier objectdetectionwithcomponentgraphsinmultibandimagesapplicationtosourcedetectioninastronomicalimages AT laurentnajman objectdetectionwithcomponentgraphsinmultibandimagesapplicationtosourcedetectioninastronomicalimages AT huguestalbot objectdetectionwithcomponentgraphsinmultibandimagesapplicationtosourcedetectioninastronomicalimages AT benjaminperret objectdetectionwithcomponentgraphsinmultibandimagesapplicationtosourcedetectioninastronomicalimages
_version_	1718403999577669632

Object Detection With Component-Graphs in Multi-Band Images: Application to Source Detection in Astronomical Images

Ejemplares similares