Sensitivity of snow density and specific surface area measured by microtomography to different image processing algorithms
[Departement_IRSTEA]Eaux [TR1_IRSTEA]RIVAGE International audience Microtomography can measure the X-ray attenuation coefficient in a 3-D volume of snow with a spatial resolution of a few microns. In order to extract quantitative characteristics of the microstructure, such as the specific surface ar...
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ftunivnantes:oai:HAL:hal-01541664v1 2023-05-15T18:32:11+02:00 Sensitivity of snow density and specific surface area measured by microtomography to different image processing algorithms Hagenmuller, P. Matzl, M. Chambon, Guillaume Schneebeli, M. Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS) Swiss Federal Institute for Forest, Snow and Landscape Research WSL Erosion torrentielle neige et avalanches (UR ETGR (ETNA)) Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA) Institut Fédéral de Recherches sur la Forêt, la Neige et le Paysage (WSL) Institut Fédéral de Recherches Suisse 2016 https://hal.science/hal-01541664 https://hal.science/hal-01541664/document https://hal.science/hal-01541664/file/gr2016-pub00054181.pdf https://doi.org/10.5194/tc-10-1039-2016 en eng HAL CCSD Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-10-1039-2016 hal-01541664 https://hal.science/hal-01541664 https://hal.science/hal-01541664/document https://hal.science/hal-01541664/file/gr2016-pub00054181.pdf doi:10.5194/tc-10-1039-2016 IRSTEA: PUB00054181 info:eu-repo/semantics/OpenAccess ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-01541664 The Cryosphere, 2016, 10 (3), pp.1039-1054. ⟨10.5194/tc-10-1039-2016⟩ density microstructure imagery snow IMAGERIE NEIGE DENSITE RAYONNEMENT X [SDE.IE]Environmental Sciences/Environmental Engineering [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology info:eu-repo/semantics/article Journal articles 2016 ftunivnantes https://doi.org/10.5194/tc-10-1039-2016 2023-02-22T09:50:34Z [Departement_IRSTEA]Eaux [TR1_IRSTEA]RIVAGE International audience Microtomography can measure the X-ray attenuation coefficient in a 3-D volume of snow with a spatial resolution of a few microns. In order to extract quantitative characteristics of the microstructure, such as the specific surface area (SSA), from these data, the greyscale image first needs to be segmented into a binary image of ice and air. Different numerical algorithms can then be used to compute the surface area of the binary image. In this paper, we report on the effect of commonly used segmentation and surface area computation techniques on the evaluation of density and specific surface area. The evaluation is based on a set of 38 X-ray tomographies of different snow samples without impregnation, scanned with an effective voxel size of 10 and 18aEuro-mu m. We found that different surface area computation methods can induce relative variations up to 5aEuro-% in the density and SSA values. Regarding segmentation, similar results were obtained by sequential and energy-based approaches, provided the associated parameters were correctly chosen. The voxel size also appears to affect the values of density and SSA, but because images with the higher resolution also show the higher noise level, it was not possible to draw a definitive conclusion on this effect of resolution. Article in Journal/Newspaper The Cryosphere Université de Nantes: HAL-UNIV-NANTES The Cryosphere 10 3 1039 1054 |
institution |
Open Polar |
collection |
Université de Nantes: HAL-UNIV-NANTES |
op_collection_id |
ftunivnantes |
language |
English |
topic |
density microstructure imagery snow IMAGERIE NEIGE DENSITE RAYONNEMENT X [SDE.IE]Environmental Sciences/Environmental Engineering [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology |
spellingShingle |
density microstructure imagery snow IMAGERIE NEIGE DENSITE RAYONNEMENT X [SDE.IE]Environmental Sciences/Environmental Engineering [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology Hagenmuller, P. Matzl, M. Chambon, Guillaume Schneebeli, M. Sensitivity of snow density and specific surface area measured by microtomography to different image processing algorithms |
topic_facet |
density microstructure imagery snow IMAGERIE NEIGE DENSITE RAYONNEMENT X [SDE.IE]Environmental Sciences/Environmental Engineering [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] [SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology |
description |
[Departement_IRSTEA]Eaux [TR1_IRSTEA]RIVAGE International audience Microtomography can measure the X-ray attenuation coefficient in a 3-D volume of snow with a spatial resolution of a few microns. In order to extract quantitative characteristics of the microstructure, such as the specific surface area (SSA), from these data, the greyscale image first needs to be segmented into a binary image of ice and air. Different numerical algorithms can then be used to compute the surface area of the binary image. In this paper, we report on the effect of commonly used segmentation and surface area computation techniques on the evaluation of density and specific surface area. The evaluation is based on a set of 38 X-ray tomographies of different snow samples without impregnation, scanned with an effective voxel size of 10 and 18aEuro-mu m. We found that different surface area computation methods can induce relative variations up to 5aEuro-% in the density and SSA values. Regarding segmentation, similar results were obtained by sequential and energy-based approaches, provided the associated parameters were correctly chosen. The voxel size also appears to affect the values of density and SSA, but because images with the higher resolution also show the higher noise level, it was not possible to draw a definitive conclusion on this effect of resolution. |
author2 |
Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS) Swiss Federal Institute for Forest, Snow and Landscape Research WSL Erosion torrentielle neige et avalanches (UR ETGR (ETNA)) Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA) Institut Fédéral de Recherches sur la Forêt, la Neige et le Paysage (WSL) Institut Fédéral de Recherches Suisse |
format |
Article in Journal/Newspaper |
author |
Hagenmuller, P. Matzl, M. Chambon, Guillaume Schneebeli, M. |
author_facet |
Hagenmuller, P. Matzl, M. Chambon, Guillaume Schneebeli, M. |
author_sort |
Hagenmuller, P. |
title |
Sensitivity of snow density and specific surface area measured by microtomography to different image processing algorithms |
title_short |
Sensitivity of snow density and specific surface area measured by microtomography to different image processing algorithms |
title_full |
Sensitivity of snow density and specific surface area measured by microtomography to different image processing algorithms |
title_fullStr |
Sensitivity of snow density and specific surface area measured by microtomography to different image processing algorithms |
title_full_unstemmed |
Sensitivity of snow density and specific surface area measured by microtomography to different image processing algorithms |
title_sort |
sensitivity of snow density and specific surface area measured by microtomography to different image processing algorithms |
publisher |
HAL CCSD |
publishDate |
2016 |
url |
https://hal.science/hal-01541664 https://hal.science/hal-01541664/document https://hal.science/hal-01541664/file/gr2016-pub00054181.pdf https://doi.org/10.5194/tc-10-1039-2016 |
genre |
The Cryosphere |
genre_facet |
The Cryosphere |
op_source |
ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-01541664 The Cryosphere, 2016, 10 (3), pp.1039-1054. ⟨10.5194/tc-10-1039-2016⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-10-1039-2016 hal-01541664 https://hal.science/hal-01541664 https://hal.science/hal-01541664/document https://hal.science/hal-01541664/file/gr2016-pub00054181.pdf doi:10.5194/tc-10-1039-2016 IRSTEA: PUB00054181 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/tc-10-1039-2016 |
container_title |
The Cryosphere |
container_volume |
10 |
container_issue |
3 |
container_start_page |
1039 |
op_container_end_page |
1054 |
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