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Description
  • In this article we introduce a visual measurement system intended for an automatic determination of material segregation in steel wires as a feedback quality control. Our system is based on an image processing which represents a non-destructive field in measurement area. Until our automated inspection system has been deployed, the measurement of segregation level was accomplished by a human inspector who represents inexact and subjective evaluation. Moreover our automated classification of individual steel wires is based on a certified official regulation. The mentioned automated classification of wires into pre-defined classes is carried out by a sequence of image processing steps. All these steps are progressively described in this article in-depth.
  • In this article we introduce a visual measurement system intended for an automatic determination of material segregation in steel wires as a feedback quality control. Our system is based on an image processing which represents a non-destructive field in measurement area. Until our automated inspection system has been deployed, the measurement of segregation level was accomplished by a human inspector who represents inexact and subjective evaluation. Moreover our automated classification of individual steel wires is based on a certified official regulation. The mentioned automated classification of wires into pre-defined classes is carried out by a sequence of image processing steps. All these steps are progressively described in this article in-depth. (en)
Title
  • Visual Measurement of Material Segregation in Steel Wires
  • Visual Measurement of Material Segregation in Steel Wires (en)
skos:prefLabel
  • Visual Measurement of Material Segregation in Steel Wires
  • Visual Measurement of Material Segregation in Steel Wires (en)
skos:notation
  • RIV/00216305:26220/14:PU105402!RIV15-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...iv/cisloPeriodika
  • 69
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 53501
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/14:PU105402
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Automated inspection, image processing, material segregation. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • NL - Nizozemsko
http://linked.open...ontrolniKodProRIV
  • [F11C736A0735]
http://linked.open...i/riv/nazevZdroje
  • Procedia Engineering
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2014
http://linked.open...iv/tvurceVysledku
  • Horák, Karel
  • Červinka, Luděk
issn
  • 1877-7058
number of pages
http://bibframe.org/vocab/doi
  • 10.1016/j.proeng.2014.03.021
http://localhost/t...ganizacniJednotka
  • 26220
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