This HTML5 document contains 40 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n14http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n17http://localhost/temp/predkladatel/
n11http://purl.org/net/nknouf/ns/bibtex#
n12http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n10http://linked.opendata.cz/ontology/domain/vavai/
n20https://schema.org/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n4http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n9http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n8http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F70883521%3A28140%2F10%3A63508907%21RIV11-MSM-28140___/
n19http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n16http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n18http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n13http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n15http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F70883521%3A28140%2F10%3A63508907%21RIV11-MSM-28140___
rdf:type
n10:Vysledek skos:Concept
dcterms:description
It is hard to choose the most suitable halftone algorithm for the image processing among the large number of existing algorithms. This article describes results of the research that try to find the connection of the visual halftone image quality and the statistical data obtained from the processed image. It describes two possible methods that can be used for evaluation of the algorithm quality in specific image application. These findings should make process of choosing the proper halftone algorithm easier. It is hard to choose the most suitable halftone algorithm for the image processing among the large number of existing algorithms. This article describes results of the research that try to find the connection of the visual halftone image quality and the statistical data obtained from the processed image. It describes two possible methods that can be used for evaluation of the algorithm quality in specific image application. These findings should make process of choosing the proper halftone algorithm easier.
dcterms:title
Relation of Statistical Information and Visual Quality in Hlaftone Images Relation of Statistical Information and Visual Quality in Hlaftone Images
skos:prefLabel
Relation of Statistical Information and Visual Quality in Hlaftone Images Relation of Statistical Information and Visual Quality in Hlaftone Images
skos:notation
RIV/70883521:28140/10:63508907!RIV11-MSM-28140___
n3:aktivita
n16:S
n3:aktivity
S
n3:dodaniDat
n15:2011
n3:domaciTvurceVysledku
n12:3437949 n12:8384762
n3:druhVysledku
n18:D
n3:duvernostUdaju
n9:S
n3:entitaPredkladatele
n8:predkladatel
n3:idSjednocenehoVysledku
284623
n3:idVysledku
RIV/70883521:28140/10:63508907
n3:jazykVysledku
n19:eng
n3:klicovaSlova
halftone; statistical evaluation; visual quality
n3:klicoveSlovo
n4:visual%20quality n4:halftone n4:statistical%20evaluation
n3:kontrolniKodProRIV
[57A5DFC1AED9]
n3:mistoKonaniAkce
Zadar, Croatia
n3:mistoVydani
Vienna
n3:nazevZdroje
Proceedings of the 21st International DAAAM Symposium %22Intelligent Manufacturing & Automation: Focus on Interdisciplinary Solutions%22
n3:obor
n13:IN
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n15:2010
n3:tvurceVysledku
Sečkař, Jan Pokorný, Pavel
n3:typAkce
n14:WRD
n3:zahajeniAkce
2010-01-01+01:00
s:numberOfPages
2
n11:hasPublisher
DAAAM International Vienna
n20:isbn
978-3-901509-73-5
n17:organizacniJednotka
28140