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Description
  • This article describes a nontraditional road sign recognition technique based on an HSV-thresholding segmentation of an input scene. The described method comes out of a precondition that the trffic signs are in bright, unnatural colours located in extremities of a suitable colour space.
  • This article describes a nontraditional road sign recognition technique based on an HSV-thresholding segmentation of an input scene. The described method comes out of a precondition that the trffic signs are in bright, unnatural colours located in extremities of a suitable colour space. (en)
  • Článek popisuje netradiční techniku rozpoznávání dopravních značek založenou na segmentaci snímku prahováním v barevném prostoru HSV. popisovaná metoda vychází z předpokladu, že dorpavní značky jsou provedeny v jasných, nepřirozených barvách, která se nachází v krajních oblastech vhodného barevného prostoru. (cs)
Title
  • Recognition of Traffic Signs
  • Recognition of Traffic Signs (en)
  • Rozpoznávání dopravních značek (cs)
skos:prefLabel
  • Recognition of Traffic Signs
  • Recognition of Traffic Signs (en)
  • Rozpoznávání dopravních značek (cs)
skos:notation
  • RIV/49777513:23520/07:00000429!RIV08-MSM-23520___
http://linked.open.../vavai/riv/strany
  • 1-5
http://linked.open...avai/riv/aktivita
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  • S
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http://linked.open...aciTvurceVysledku
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  • 446739
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  • RIV/49777513:23520/07:00000429
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  • traffic signs; recognition; image analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [CD7B2292C2B9]
http://linked.open...v/mistoKonaniAkce
  • Balatonfüred
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  • Budapest
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  • Proceedings of the 8th international PhD workshop on systems and control a young generation viewpoint
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  • Ekštein, Kamil
  • Bellada, Lukáš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • Magyar Tudományos Akadémia, Számítástechnikai és Automatizálási Kutatóintézet
https://schema.org/isbn
  • 978-963-311-365-3
http://localhost/t...ganizacniJednotka
  • 23520
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