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Description
  • This paper addresses the problem of automatic pattern classification in real metallographic images from the steel plant ArcelorMittal Ostrava plc (Ostrava, Czech Republic). Images of manufactured metal plates contain dark dots, i.e. imperfections. We monitor the process quality in the steel plant by determining automatically the number and sizes of these dots which represent plates' imperfections. The proposed algorithm segments the area of plates that contains dots, identifies rows of pixels that contain them, marks and counts them. The obtained results are promising and confirm that the proposed algorithm should serve as the foundation for future research in this area.
  • This paper addresses the problem of automatic pattern classification in real metallographic images from the steel plant ArcelorMittal Ostrava plc (Ostrava, Czech Republic). Images of manufactured metal plates contain dark dots, i.e. imperfections. We monitor the process quality in the steel plant by determining automatically the number and sizes of these dots which represent plates' imperfections. The proposed algorithm segments the area of plates that contains dots, identifies rows of pixels that contain them, marks and counts them. The obtained results are promising and confirm that the proposed algorithm should serve as the foundation for future research in this area. (en)
Title
  • Automatic Pattern Classification of Real Metallographic Images
  • Automatic Pattern Classification of Real Metallographic Images (en)
skos:prefLabel
  • Automatic Pattern Classification of Real Metallographic Images
  • Automatic Pattern Classification of Real Metallographic Images (en)
skos:notation
  • RIV/61989100:27600/10:86076541!RIV11-MSM-27600___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M06047)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...dnocenehoVysledku
  • 248193
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27600/10:86076541
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • automatic optical inspection, image classification, image resolution, image segmentation, metallography, quality management, steel industry (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4D067BC6CFB0]
http://linked.open...v/mistoKonaniAkce
  • Houston, USA
http://linked.open...i/riv/mistoVydani
  • NEW YORK
http://linked.open...i/riv/nazevZdroje
  • 2009 IEEE Industry Applications Society Annual Meeting
http://linked.open...in/vavai/riv/obor
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http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Praks, Pavel
  • Válek, Ladislav
  • Tameze, Claude
  • Vincelette, Robert
  • Zeljkovic, Vesna
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000275738800042
http://linked.open.../riv/zahajeniAkce
issn
  • 0197-2618
number of pages
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  • IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
https://schema.org/isbn
  • 978-1-4244-3475-6
http://localhost/t...ganizacniJednotka
  • 27600
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