Model-based Surface Defect Detection and Condition Monitoring in Wire Ropes

Authors Esther Platzer, Joachim Denzler



PDF
Thumbnail PDF

File

DagSemProc.08422.10.pdf
  • Filesize: 88 kB
  • 0 pages

Document Identifiers

Author Details

Esther Platzer
Joachim Denzler

Cite AsGet BibTex

Esther Platzer and Joachim Denzler. Model-based Surface Defect Detection and Condition Monitoring in Wire Ropes. In Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural Scenes. Dagstuhl Seminar Proceedings, Volume 8422, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)
https://doi.org/10.4230/DagSemProc.08422.10

Abstract

Wire ropes are exposed to huge external powers everyday. Therefore strict rules for a regular visual inspection exist. Many approaches for textural defect detection in textiles or other materials exist. However, until today no real possibility to control rope attributes like lay length or diameter over the whole rope curse exist. To meet this drawback we present an automatic inspection approach based on a geometric rope model. The parameters of the rope model are estimated over time given raw 2-d image data and local surface defects are located by comparison of the real data with a 2-d projection of the ideal model.
Keywords
  • Defect detection
  • visual inspection
  • analysis-by-synthesis

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail