loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Fabian Timm ; Sascha Klement ; Erhardt Barth and Thomas Martinetz

Affiliation: University of Luebeck, Germany

ISBN: 978-989-8111-69-2

Keyword(s): Feature extraction, One-class classification, Welding seam inspection, Machine vision.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Computer Vision, Visualization and Computer Graphics ; Feature Extraction ; Features Extraction ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Image and Video Analysis ; Informatics in Control, Automation and Robotics ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Signal Processing, Sensors, Systems Modeling and Control ; Soft Computing ; Statistical Approach ; Theory and Methods

Abstract: We present a framework for automatic inspection of welding seams based on specular reflections. Therefore, we introduce a novel feature set -- called specularity features (SPECs) -- describing statistical properties of specular reflections. For classification we use a one-class support-vector approach. The SPECs significantly outperform statistical geometric features and raw pixel intensities, since they capture more complex characteristics and depencies of shape and geometry.We obtain an error rate of 9%, which corresponds to the level of human performance.

PDF ImageFull Text

Download
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 54.234.227.202

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:
Timm F.; Klement S.; Barth E.; Martinetz T. and (2009). WELDING INSPECTION USING NOVEL SPECULARITY FEATURES AND A ONE-CLASS SVM.In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 145-152. DOI: 10.5220/0001776301450152

@conference{visapp09,
author={Fabian Timm and Sascha Klement and Erhardt Barth and Thomas Martinetz},
title={WELDING INSPECTION USING NOVEL SPECULARITY FEATURES AND A ONE-CLASS SVM},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={145-152},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001776301450152},
isbn={978-989-8111-69-2},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)
TI - WELDING INSPECTION USING NOVEL SPECULARITY FEATURES AND A ONE-CLASS SVM
SN - 978-989-8111-69-2
AU - Timm, F.
AU - Klement, S.
AU - Barth, E.
AU - Martinetz, T.
PY - 2009
SP - 145
EP - 152
DO - 10.5220/0001776301450152

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.