A non-rigid registration method for the analysis of local deformations in the wood cell wall


Loading...

Date

2018-01-22

Publication Type

Journal Article

ETH Bibliography

yes

Citations

Altmetric

Data

Abstract

This paper concerns the problem of wood cellular structure image registration. Given the large variability of wood geometry and the important changes in the cellular organization due to moisture sorption, an affine-based image registration technique is not exhaustive to describe the overall hygro-mechanical behaviour of wood at micrometre scales. Additionally, free tools currently available for non-rigid image registration are not suitable for quantifying the structural deformations of complex hierarchical materials such as wood, leading to errors due to misalignment. In this paper, we adapt an existing non-rigid registration model based on B-spline functions to our case study. The so-modified algorithm combines the concept of feature recognition within specific regions locally distributed in the material with an optimization problem. Results show that the method is able to quantify local deformations induced by moisture changes in tomographic images of wood cell wall with high accuracy. The local deformations provide new important insights in characterizing the swelling behaviour of wood at the cell wall level.

Publication status

published

Editor

Book title

Volume

4 (1)

Pages / Article No.

1

Publisher

Springer

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Image registration; B-spline function; Free form deformation; Spruce wood; X-ray tomography; Equivalent

Organisational unit

03817 - Stampanoni, Marco F.M. / Stampanoni, Marco F.M. check_circle

Notes

Funding

Related publications and datasets