TY - GEN
T1 - Approximation of Pore Space with Ellipsoids
T2 - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018
AU - Druoton, Lucie
AU - Michelucci, Dominique
AU - Monga, Olivier
AU - Bouras, Abdelaziz
AU - Foufou, Sebti
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - We work with tomographic images of pore space in soil. The images have large dimensions and so in order to speed-up biological simulations (as drainage or diffusion process in soil), we want to describe the pore space with a number of geometrical primitives significantly smaller than the number of voxels in pore space. In this paper, we use the curve skeleton of a volume to segment it into some regions. We describe the method to compute the curve skeleton and to segment it with a simple segment approximation. We approximate each obtained region with an ellipsoid. The set of final ellipsoids represents the geometry of pore space and will be used in future simulations. We compare this method which we call geometrical method with the one described in the paper [8], which we name statistical method (using k-means algorithm).
AB - We work with tomographic images of pore space in soil. The images have large dimensions and so in order to speed-up biological simulations (as drainage or diffusion process in soil), we want to describe the pore space with a number of geometrical primitives significantly smaller than the number of voxels in pore space. In this paper, we use the curve skeleton of a volume to segment it into some regions. We describe the method to compute the curve skeleton and to segment it with a simple segment approximation. We approximate each obtained region with an ellipsoid. The set of final ellipsoids represents the geometry of pore space and will be used in future simulations. We compare this method which we call geometrical method with the one described in the paper [8], which we name statistical method (using k-means algorithm).
KW - Curve skeleton
KW - Ellipsoids
KW - Pore space approximation
KW - Segmentation
UR - http://www.scopus.com/inward/record.url?scp=85065901951&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85065901951&partnerID=8YFLogxK
U2 - 10.1109/SITIS.2018.00023
DO - 10.1109/SITIS.2018.00023
M3 - Conference contribution
AN - SCOPUS:85065901951
T3 - Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018
SP - 84
EP - 90
BT - Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018
A2 - Chbeir, Richard
A2 - di Baja, Gabriella Sanniti
A2 - Gallo, Luigi
A2 - Yetongnon, Kokou
A2 - Dipanda, Albert
A2 - Castrillon-Santana, Modesto
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 26 November 2018 through 29 November 2018
ER -