This HTML5 document contains 41 embedded RDF statements represented using HTML+Microdata notation.

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

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
n10http://localhost/temp/predkladatel/
n11http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n16http://linked.opendata.cz/ontology/domain/vavai/
n17http://linked.opendata.cz/resource/domain/vavai/zamer/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n14http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00216305%3A26220%2F03%3APU40110%21RIV11-MSM-26220___/
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#
n9http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n4http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n18http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n15http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n7http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n5http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n12http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F03%3APU40110%21RIV11-MSM-26220___
rdf:type
skos:Concept n16:Vysledek
dcterms:description
The paper describes the application of algorithms for edge detection in images. The principles and algorithms given below have been used in an application that was developed at Brno University of Technology and has been programmed in the Microsoft Visual C++ environment. In the development, the Win32 API and MFC libraries were made use of. In the application, any of the eleven implemented algorithms can be used for edge detection. The paper describes the application of algorithms for edge detection in images. The principles and algorithms given below have been used in an application that was developed at Brno University of Technology and has been programmed in the Microsoft Visual C++ environment. In the development, the Win32 API and MFC libraries were made use of. In the application, any of the eleven implemented algorithms can be used for edge detection.
dcterms:title
Analysis of Methods for Edge Detection. International Journal Analysis of Methods for Edge Detection. International Journal
skos:prefLabel
Analysis of Methods for Edge Detection. International Journal Analysis of Methods for Edge Detection. International Journal
skos:notation
RIV/00216305:26220/03:PU40110!RIV11-MSM-26220___
n3:aktivita
n18:V n18:Z
n3:aktivity
V, Z(MSM 262200011)
n3:cisloPeriodika
12
n3:dodaniDat
n12:2011
n3:domaciTvurceVysledku
n11:1250019 n11:4746392
n3:druhVysledku
n7:J
n3:duvernostUdaju
n4:S
n3:entitaPredkladatele
n14:predkladatel
n3:idSjednocenehoVysledku
598094
n3:idVysledku
RIV/00216305:26220/03:PU40110
n3:jazykVysledku
n15:eng
n3:klicovaSlova
Image processing, edge detection, thresholding, image recognition
n3:klicoveSlovo
n9:thresholding n9:Image%20processing n9:image%20recognition n9:edge%20detection
n3:kodStatuVydavatele
HU - Maďarsko
n3:kontrolniKodProRIV
[27384CE64877]
n3:nazevZdroje
Híradastechnika
n3:obor
n5:JA
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n12:2003
n3:svazekPeriodika
58
n3:tvurceVysledku
Šťastný, Jiří Škorpil, Vladislav
n3:zamer
n17:MSM%20262200011
s:issn
0018-2028
s:numberOfPages
9
n10:organizacniJednotka
26220