Estimation of Separating Planes between Touching 3D Objects Using Power Watershed - Archive ouverte HAL
Communication Dans Un Congrès Année : 2013

Estimation of Separating Planes between Touching 3D Objects Using Power Watershed

Résumé

The problem of separating touching or overlapping objects is classical in imaging. Many solutions have been proposed in 2D. While similar, the problem in 3D has differentiating features: apparent overlap due to projection effects does not exist, but real or apparent interpenetration can occur only due to either physical particle fusion or partial volume effects. Often the ability to separate objects logically is sufficient, however sometimes finding the orientation of tangent separating plane is useful. In this article, we propose a method based on power watershed for separating 3D touching objects and estimate a precise separating plane. Power watershed is used in two steps, first to obtain individual object identification , and in a second step to allow sub-voxel accuracy in the plane fitting procedure. We show that our approach is much more precise than a simple seg-mentation. We illustrate this in an application involving the shearing of a sample of sand grains imaged in various configurations by micro-CT tomography. Our technique measures the orientation of the contacts between grains, a quantity that is explicitly used in soil mechanics modeling, but which has up until now been difficult to measure from experiments.
Fichier principal
Vignette du fichier
Estimation_of_Separating_Planes_between.pdf (1.92 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01617159 , version 1 (16-10-2017)

Identifiants

Citer

Clara Jaquet, Edward Andò, Gioacchino Cinno Viggiani, Hugues Talbot. Estimation of Separating Planes between Touching 3D Objects Using Power Watershed. 11th International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing (ISMM 2013), May 2013, Uppsala, Sweden. pp.452-463, ⟨10.1007/978-3-642-38294-9_38⟩. ⟨hal-01617159⟩
124 Consultations
400 Téléchargements

Altmetric

Partager

More