Energy-based binary segmentation of snow microtomographic images
[Departement_IRSTEA]Eaux [TR1_IRSTEA]RIVAGE International audience X-ray microtomography has become an essential tool for investigating the mechanical and physical properties of snow, which are tied to its microstructure. To allowa quantitative characterization of the microstructure, the grayscale X...
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Online Access: | https://hal.inrae.fr/hal-02598739 https://doi.org/10.3189/2013JoG13J035 |
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ftmeteofrance:oai:HAL:hal-02598739v1 2024-04-14T08:14:08+00:00 Energy-based binary segmentation of snow microtomographic images Segmentation binaire d'images micro-tomographiques de neige par une approche énergétique Hagenmuller, P. Chambon, Guillaume Lesaffre, Benoît Flin, F. Naaim, Mohamed Erosion torrentielle neige et avalanches (UR ETGR (ETNA)) Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA) Météo-France Direction Interrégionale Sud-Est (DIRSE) Météo-France VOR research network European Feder Fund 2013 https://hal.inrae.fr/hal-02598739 https://doi.org/10.3189/2013JoG13J035 en eng HAL CCSD International Glaciological Society info:eu-repo/semantics/altIdentifier/doi/10.3189/2013JoG13J035 hal-02598739 https://hal.inrae.fr/hal-02598739 doi:10.3189/2013JoG13J035 IRSTEA: PUB00038894 WOS: 000325385200005 ISSN: 0022-1430 EISSN: 1727-5652 Journal of Glaciology https://hal.inrae.fr/hal-02598739 Journal of Glaciology, 2013, 59 (217), pp.859-873. ⟨10.3189/2013JoG13J035⟩ [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2013 ftmeteofrance https://doi.org/10.3189/2013JoG13J035 2024-03-21T16:24:08Z [Departement_IRSTEA]Eaux [TR1_IRSTEA]RIVAGE International audience X-ray microtomography has become an essential tool for investigating the mechanical and physical properties of snow, which are tied to its microstructure. To allowa quantitative characterization of the microstructure, the grayscale X-ray attenuation coefficient image has to be segmented into a binary ice/pore image. This step, called binary segmentation, is crucial and affects all subsequent analysis and modeling. Common segmentation methods are based on thresholding. In practice, these methods present some drawbacks and often require time-consuming manual post-processing. Here we present a binary segmentation algorithm based on the minimization of a segmentation energy. This energy is composed of a data fidelity term and a regularization term penalizing large interface area, which is of particular interest for snow where sintering naturally tends to reduce the surface energy. The accuracy of the method is demonstrated on a synthetic image. The method is then successfully applied on microtomographic images of snow and compared to the threshold-based segmentation. The main advantage of the presented approach is that it benefits from local spatial information. Moreover, the effective resolution of the segmented image is clearly defined and can be chosen a priori. Article in Journal/Newspaper Journal of Glaciology Météo-France: HAL Journal of Glaciology 59 217 859 873 |
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Open Polar |
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Météo-France: HAL |
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ftmeteofrance |
language |
English |
topic |
[SDE]Environmental Sciences |
spellingShingle |
[SDE]Environmental Sciences Hagenmuller, P. Chambon, Guillaume Lesaffre, Benoît Flin, F. Naaim, Mohamed Energy-based binary segmentation of snow microtomographic images |
topic_facet |
[SDE]Environmental Sciences |
description |
[Departement_IRSTEA]Eaux [TR1_IRSTEA]RIVAGE International audience X-ray microtomography has become an essential tool for investigating the mechanical and physical properties of snow, which are tied to its microstructure. To allowa quantitative characterization of the microstructure, the grayscale X-ray attenuation coefficient image has to be segmented into a binary ice/pore image. This step, called binary segmentation, is crucial and affects all subsequent analysis and modeling. Common segmentation methods are based on thresholding. In practice, these methods present some drawbacks and often require time-consuming manual post-processing. Here we present a binary segmentation algorithm based on the minimization of a segmentation energy. This energy is composed of a data fidelity term and a regularization term penalizing large interface area, which is of particular interest for snow where sintering naturally tends to reduce the surface energy. The accuracy of the method is demonstrated on a synthetic image. The method is then successfully applied on microtomographic images of snow and compared to the threshold-based segmentation. The main advantage of the presented approach is that it benefits from local spatial information. Moreover, the effective resolution of the segmented image is clearly defined and can be chosen a priori. |
author2 |
Erosion torrentielle neige et avalanches (UR ETGR (ETNA)) Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA) Météo-France Direction Interrégionale Sud-Est (DIRSE) Météo-France VOR research network European Feder Fund |
format |
Article in Journal/Newspaper |
author |
Hagenmuller, P. Chambon, Guillaume Lesaffre, Benoît Flin, F. Naaim, Mohamed |
author_facet |
Hagenmuller, P. Chambon, Guillaume Lesaffre, Benoît Flin, F. Naaim, Mohamed |
author_sort |
Hagenmuller, P. |
title |
Energy-based binary segmentation of snow microtomographic images |
title_short |
Energy-based binary segmentation of snow microtomographic images |
title_full |
Energy-based binary segmentation of snow microtomographic images |
title_fullStr |
Energy-based binary segmentation of snow microtomographic images |
title_full_unstemmed |
Energy-based binary segmentation of snow microtomographic images |
title_sort |
energy-based binary segmentation of snow microtomographic images |
publisher |
HAL CCSD |
publishDate |
2013 |
url |
https://hal.inrae.fr/hal-02598739 https://doi.org/10.3189/2013JoG13J035 |
genre |
Journal of Glaciology |
genre_facet |
Journal of Glaciology |
op_source |
ISSN: 0022-1430 EISSN: 1727-5652 Journal of Glaciology https://hal.inrae.fr/hal-02598739 Journal of Glaciology, 2013, 59 (217), pp.859-873. ⟨10.3189/2013JoG13J035⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.3189/2013JoG13J035 hal-02598739 https://hal.inrae.fr/hal-02598739 doi:10.3189/2013JoG13J035 IRSTEA: PUB00038894 WOS: 000325385200005 |
op_doi |
https://doi.org/10.3189/2013JoG13J035 |
container_title |
Journal of Glaciology |
container_volume |
59 |
container_issue |
217 |
container_start_page |
859 |
op_container_end_page |
873 |
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1796312265871327232 |