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Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F08%3A00317591%21RIV10-MSM-67985556
rdf:type
n14:Vysledek skos:Concept
dcterms:description
The Prague texture segmentation data-generator and benchmark is a web based ( http://mosaic.utia.cas.cz) service designed to mutually compare and rank different texture segmenters, and to support new segmentation and classification methods development. The benchmark verifies their performance characteristics on monospectral, multispectral, bidirectional texture function (BTF) data and enables to test their noise robustness, scale, and rotation or illumination invariance. It can easily be used for other applications such as feature selection, image compression, and query by pictorial example, etc. The benchmark functionalities are demonstrated on five previously published image segmentation algorithms evaluation. The Prague texture segmentation data-generator and benchmark is a web based ( http://mosaic.utia.cas.cz) service designed to mutually compare and rank different texture segmenters, and to support new segmentation and classification methods development. The benchmark verifies their performance characteristics on monospectral, multispectral, bidirectional texture function (BTF) data and enables to test their noise robustness, scale, and rotation or illumination invariance. It can easily be used for other applications such as feature selection, image compression, and query by pictorial example, etc. The benchmark functionalities are demonstrated on five previously published image segmentation algorithms evaluation.
dcterms:title
Texture Segmentation Benchmark Texture Segmentation Benchmark
skos:prefLabel
Texture Segmentation Benchmark Texture Segmentation Benchmark
skos:notation
RIV/67985556:_____/08:00317591!RIV10-MSM-67985556
n3:aktivita
n12:Z n12:P
n3:aktivity
P(1ET400750407), P(1M0572), P(GA102/07/1594), P(GA102/08/0593), Z(AV0Z10750506)
n3:dodaniDat
n10:2010
n3:domaciTvurceVysledku
n9:2890542 n9:2812495
n3:druhVysledku
n21:D
n3:duvernostUdaju
n17:S
n3:entitaPredkladatele
n8:predkladatel
n3:idSjednocenehoVysledku
399769
n3:idVysledku
RIV/67985556:_____/08:00317591
n3:jazykVysledku
n18:eng
n3:klicovaSlova
texture segmentation; image segmentation; benchmark
n3:klicoveSlovo
n4:texture%20segmentation n4:benchmark n4:image%20segmentation
n3:kontrolniKodProRIV
[45C03DBB5B9D]
n3:mistoKonaniAkce
Tampa
n3:mistoVydani
Los Alamitos
n3:nazevZdroje
Proceedings of the 19th International Conference on Pattern Recognition
n3:obor
n13:BD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n11:1M0572 n11:1ET400750407 n11:GA102%2F08%2F0593 n11:GA102%2F07%2F1594
n3:rokUplatneniVysledku
n10:2008
n3:tvurceVysledku
Haindl, Michal Mikeš, Stanislav
n3:typAkce
n19:WRD
n3:zahajeniAkce
2008-12-07+01:00
n3:zamer
n15:AV0Z10750506
s:numberOfPages
4
n16:hasPublisher
IEEE Press
n7:isbn
978-1-4244-2174-9