loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Matt Elsey and Benedikt Wirth

Affiliation: New York University, United States

Keyword(s): Segmentation, Crystal Defect, Dislocation, Crystal Distortion, Variational Method, Sparse Curl.

Related Ontology Subjects/Areas/Topics: Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Segmentation and Grouping

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.212.50.220

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 (VISIGRAPP 2013) - Volume 1: VISAPP; ISBN 978-989-8565-47-1; ISSN 2184-4321, SciTePress, pages 294-302. DOI: 10.5220/0004281502940302

@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 (VISIGRAPP 2013) - Volume 1: VISAPP},
year={2013},
pages={294-302},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004281502940302},
isbn={978-989-8565-47-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP
TI - Segmentation of Crystal Defects via Local Analysis of Crystal Distortion
SN - 978-989-8565-47-1
IS - 2184-4321
AU - Elsey, M.
AU - Wirth, B.
PY - 2013
SP - 294
EP - 302
DO - 10.5220/0004281502940302
PB - SciTePress