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  • Rapid increase of computational performance of personal computers has enabled employment of automatic hardness measurement in the last decade. It reduces the human factor in measurement and speeds up the measurement process. On the other hand, the automatic measurement often fails, when the specimen surface is not well prepared. Robust image processing algorithm is crucial for the automatic hardness measurement. The article introduces a combination of an advanced image processing technique called Active Shape Modeling (ASM) and a sophisticated model estimation technique called Particle Filtering (PF). It enables measurement of rough polished specimens and minimizes the effect of specimen surface properties.
  • Rapid increase of computational performance of personal computers has enabled employment of automatic hardness measurement in the last decade. It reduces the human factor in measurement and speeds up the measurement process. On the other hand, the automatic measurement often fails, when the specimen surface is not well prepared. Robust image processing algorithm is crucial for the automatic hardness measurement. The article introduces a combination of an advanced image processing technique called Active Shape Modeling (ASM) and a sophisticated model estimation technique called Particle Filtering (PF). It enables measurement of rough polished specimens and minimizes the effect of specimen surface properties. (en)
Title
  • Knoop hardness measurement using computer vision.
  • Knoop hardness measurement using computer vision. (en)
skos:prefLabel
  • Knoop hardness measurement using computer vision.
  • Knoop hardness measurement using computer vision. (en)
skos:notation
  • RIV/49777513:23520/10:43898392!RIV12-MSM-23520___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(FR-TI1/487), S
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
  • 266544
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/10:43898392
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • microhardness, knoop, active shape modeling (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [873049682FE5]
http://linked.open...v/mistoKonaniAkce
  • Zadar, Croatia
http://linked.open...i/riv/mistoVydani
  • Vienna
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 21st International DAAAM Symposium %22Intelligent Manufacturing & Automation: Focus on Interdisciplinary Solutions%22
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
  • Hrúz, Marek
  • Maňas, David
  • Široký, Jan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • DAAAM International Vienna
https://schema.org/isbn
  • 978-3-901509-73-5
http://localhost/t...ganizacniJednotka
  • 23520
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