License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.08422.10
URN: urn:nbn:de:0030-drops-18602
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2009/1860/
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Platzer, Esther ; Denzler, Joachim

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

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08422.PlatzerEsther.ExtAbstract.1860.pdf (0.09 MB)


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.


BibTeX - Entry

@InProceedings{platzer_et_al:DagSemProc.08422.10,
  author =	{Platzer, Esther and Denzler, Joachim},
  title =	{{Model-based Surface Defect Detection and Condition Monitoring in Wire Ropes}},
  booktitle =	{Computer Vision in Camera Networks for Analyzing Complex Dynamic Natural  Scenes},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8422},
  editor =	{Joachim Denzler and Michael Koch},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2009/1860},
  URN =		{urn:nbn:de:0030-drops-18602},
  doi =		{10.4230/DagSemProc.08422.10},
  annote =	{Keywords: Defect detection, visual inspection, analysis-by-synthesis}
}

Keywords: Defect detection, visual inspection, analysis-by-synthesis
Collection: 08422 - Klausurtagung Lehrstuhl Joachim Denzler
Issue Date: 2009
Date of publication: 29.01.2009


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