Segmentation of Crystal Defects via Local Analysis of Crystal Distortion

Matt Elsey, Benedikt Wirth

2013

Abstract

We propose a variational method to simultaneously detect dislocations and grain boundaries in an image of a crystal as well as the local crystal distortion. To this end we extract a distortion field F from the image which is nearly curl-free except at dislocations and grain boundaries. The sparsity of the curl is promoted by an L1-regularization of curlF in the employed energy functional. The structure of the functional admits a fast and parallelizable minimization such that fairly large images can be analyzed in a few minutes.

Paper Citation

in Harvard Style

Elsey M. and Wirth B. (2013). Segmentation of Crystal Defects via Local Analysis of Crystal Distortion . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 294-302. DOI: 10.5220/0004281502940302

in Bibtex Style

@conference{visapp13,
author={Matt Elsey and Benedikt Wirth},
title={Segmentation of Crystal Defects via Local Analysis of Crystal Distortion},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={294-302},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004281502940302},
isbn={978-989-8565-47-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - Segmentation of Crystal Defects via Local Analysis of Crystal Distortion
SN - 978-989-8565-47-1
AU - Elsey M.
AU - Wirth B.
PY - 2013
SP - 294
EP - 302
DO - 10.5220/0004281502940302