About: Classification of Segregation Level in Steel Wires by Image Processing     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • This article describes a visual measurement system intended for an automatic determination of segregation level in steel wires. The suggested system is principally based on image processing methods for segmentation and classification of inhomogeneous regions inside an otherwise uniform wire. Until our automated inspection system has been deployed, the measurement of segregation level was performed by an inexact and subjective evaluation by a human inspector. The visual measuring system involves an image acquisition stage, image pre-processing, wires segmentation and finally wires classification. In the following text all these parts of evaluation process are described in-depth. Finally each wire is automatically classified into the one of several predefined classes by the mentioned sequence of image processing steps.
  • This article describes a visual measurement system intended for an automatic determination of segregation level in steel wires. The suggested system is principally based on image processing methods for segmentation and classification of inhomogeneous regions inside an otherwise uniform wire. Until our automated inspection system has been deployed, the measurement of segregation level was performed by an inexact and subjective evaluation by a human inspector. The visual measuring system involves an image acquisition stage, image pre-processing, wires segmentation and finally wires classification. In the following text all these parts of evaluation process are described in-depth. Finally each wire is automatically classified into the one of several predefined classes by the mentioned sequence of image processing steps. (en)
Title
  • Classification of Segregation Level in Steel Wires by Image Processing
  • Classification of Segregation Level in Steel Wires by Image Processing (en)
skos:prefLabel
  • Classification of Segregation Level in Steel Wires by Image Processing
  • Classification of Segregation Level in Steel Wires by Image Processing (en)
skos:notation
  • RIV/00216305:26220/14:PU110848!RIV15-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(TE01020197), 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
  • 7457
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/14:PU110848
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Image processing, Classification, Statistical Segmentation, Segregation Level, Steel wires. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [E69B14BE7ADD]
http://linked.open...v/mistoKonaniAkce
  • Berlín
http://linked.open...i/riv/mistoVydani
  • Berlin, Germany
http://linked.open...i/riv/nazevZdroje
  • The Conference Proceedings of the 37th International Conference on Telecommunications and Signal Processing.
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
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
https://schema.org/isbn
  • 978-80-214-4983-1
http://localhost/t...ganizacniJednotka
  • 26220
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 48 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software