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Machine Vision and Applications
Erschienen in: Machine Vision and Applications 6/2014

01.08.2014 | Original Paper

A traverse inspection system for high precision visual on-loom fabric defect detection

verfasst von: Dorian Schneider, Timm Holtermann, Dorit Merhof

Erschienen in: Machine Vision and Applications | Ausgabe 6/2014

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Abstract

A self-contained inspection system for vision-based on-loom fabric defect detection is presented in this paper. Design and loom integration of a traversing camera sled, a camera vibration damper and a complementary back-light illumination are presented and discussed. Image acquisition strategies and traverse control are described to complete the discussion on hardware and mechanics. The main part of the paper focuses on a novel algorithmic framework for woven fabric defect detection in highly resolved (1,000+ ppi) image data. Within this scope, single yarns are tracked and measured in terms of position, size, and appearance in real time. An inspection prototype has been mounted onto an industrial loom. Extensive on-line and off-line evaluations for various fabric materials gave precise and stable detection results with few false alarms. A brief cost analysis for the prototype system is provided and completes the presentation of the system.
Vorheriger Artikel Background subtraction by combining Temporal and Spatio-Temporal histograms in the presence of camera movement
Nächster Artikel Extrinsic calibration of heterogeneous cameras by line images

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Metadaten
Titel
A traverse inspection system for high precision visual on-loom fabric defect detection
verfasst von
Dorian Schneider
Timm Holtermann
Dorit Merhof
Publikationsdatum
01.08.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
Machine Vision and Applications / Ausgabe 6/2014
Print ISSN: 0932-8092
Elektronische ISSN: 1432-1769
DOI
https://doi.org/10.1007/s00138-014-0600-y

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