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  • Visual system is the basic tool for non-contact inspection in industries. Such system usually has to detect defects and reject faulty products automatically. This article deals with autonomous visual system for glass bottle inspection, which has to detect non-homogenous regions in ROI in images. Additional system is able to distinguish between regions belongs to defect from regions belongs to manmade patterns, so that products can be made in high quality and cost-effective way. Snag is that synthetic patterns (like a word-sign) and defects (dirt, crack etc.) have similar image characteristics, hence it is difficult to recognize between them. In order to solve mentioned task we introduce novel method based on moment invariants. Each detected non-homogenous region is wilfully modified by so called %22circle degradation%22 algorithm in several steps. Moment invariants corresponding to modified regions are then computed and subsequently functions of these invariants are created. On the basis of these function
  • Visual system is the basic tool for non-contact inspection in industries. Such system usually has to detect defects and reject faulty products automatically. This article deals with autonomous visual system for glass bottle inspection, which has to detect non-homogenous regions in ROI in images. Additional system is able to distinguish between regions belongs to defect from regions belongs to manmade patterns, so that products can be made in high quality and cost-effective way. Snag is that synthetic patterns (like a word-sign) and defects (dirt, crack etc.) have similar image characteristics, hence it is difficult to recognize between them. In order to solve mentioned task we introduce novel method based on moment invariants. Each detected non-homogenous region is wilfully modified by so called %22circle degradation%22 algorithm in several steps. Moment invariants corresponding to modified regions are then computed and subsequently functions of these invariants are created. On the basis of these function (en)
Title
  • Pattern Recognition By Use Of Functions Of Invariants
  • Pattern Recognition By Use Of Functions Of Invariants (en)
skos:prefLabel
  • Pattern Recognition By Use Of Functions Of Invariants
  • Pattern Recognition By Use Of Functions Of Invariants (en)
skos:notation
  • RIV/00216305:26220/08:PU77277!RIV10-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0567), Z(MSM0021630529)
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
  • 386092
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/08:PU77277
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • recognition, pattern, moments, invariants (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C984D5AB78FC]
http://linked.open...v/mistoKonaniAkce
  • Trnava
http://linked.open...i/riv/mistoVydani
  • Vienna, Austria 2008
http://linked.open...i/riv/nazevZdroje
  • Annals of DAAAM for 2008 & Proceedings of the 19th International DAAAM Symposium
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Horák, Karel
  • Kalová, Ilona
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000262860100302
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • DAAAM International
https://schema.org/isbn
  • 978-3-901509-68-1
http://localhost/t...ganizacniJednotka
  • 26220
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