About: Variation Aproach to Invariant Recognition of Binary Images     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
  • Vlastnosti získané z daného binárního obrazu mohou být invariantní vůči translaci (T), změně měřítka (S) a rotaci (R) původního vzoru. Existuje mnoho možností, jak realizovat TSR invariantní vlastnosti n-rozměrných binárních obrazů. Nový rozpoznávací systém je založen na variačním počtu a užívá TSR invariantní obálky jako nelineární preprocesing. Všechny programy byly realizovány v prostředí Matlab. (cs)
  • The properties extracted from given binary image should be invariant to translation (T), scaling (S), and rotation (R) of the original pattern. There are many possibilities how to realize TSR invariant properties of n-dimensional binary images. The novel recognition system is based on the variational calculus. The recognition system uses TSR invariant envelopes as non-linear preprocessing for proposed variation recognizer. All the programs are realized in Matlab environment.
  • The properties extracted from given binary image should be invariant to translation (T), scaling (S), and rotation (R) of the original pattern. There are many possibilities how to realize TSR invariant properties of n-dimensional binary images. The novel recognition system is based on the variational calculus. The recognition system uses TSR invariant envelopes as non-linear preprocessing for proposed variation recognizer. All the programs are realized in Matlab environment. (en)
Title
  • Variation Aproach to Invariant Recognition of Binary Images
  • Variační přístup k invariantnímu rozpoznávání binárních obrazů (cs)
  • Variation Aproach to Invariant Recognition of Binary Images (en)
skos:prefLabel
  • Variation Aproach to Invariant Recognition of Binary Images
  • Variační přístup k invariantnímu rozpoznávání binárních obrazů (cs)
  • Variation Aproach to Invariant Recognition of Binary Images (en)
skos:notation
  • RIV/60461373:22340/05:00014405!RIV06-MSM-22340___
http://linked.open.../vavai/riv/strany
  • NOV/1-NOV/7
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6046137306)
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
  • 548524
http://linked.open...ai/riv/idVysledku
  • RIV/60461373:22340/05:00014405
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • binary image; invariants; Fourier analysis; variational calculus; Matlab (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4BEAC70581B2]
http://linked.open...v/mistoKonaniAkce
  • Praha
http://linked.open...i/riv/mistoVydani
  • Praha
http://linked.open...i/riv/nazevZdroje
  • 13th Annual Conference Proceedings Technical Computing Prague 2005
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Kukal, Jaromír
  • Nováková, Kateřina
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • Humusoft
https://schema.org/isbn
  • 80-7080-577-3
http://localhost/t...ganizacniJednotka
  • 22340
is http://linked.open...avai/riv/vysledek of
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, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software