This HTML5 document contains 43 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/
n8http://localhost/temp/predkladatel/
n15http://linked.opendata.cz/resource/domain/vavai/projekt/
n7http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n13http://linked.opendata.cz/ontology/domain/vavai/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n6http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F68407700%3A21230%2F09%3A00157044%21RIV10-MSM-21230___/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n12http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n9http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n18http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n14http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n16http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n11http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n5http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F09%3A00157044%21RIV10-MSM-21230___
rdf:type
skos:Concept n13:Vysledek
dcterms:description
MRF with asymmetric pairwise compatibility constraints between direct pixel neighbors solves a constrained binary image segmentation task. The model is constraining shape and alignment of individual contiguous binary segments by introducing auxiliary labels and their pairwise interactions. Such representation is not necessarily unique. We study several ad-hoc labeling models for binary images consisting of nonoverlapping rectangular contiguous regions. We observed a noticeable increase in performance even in cases when the differences between the models were seemingly insignificant. We use the proposed models for segmentation of windowpanes and windows in orthographically rectified facade images. We show experimentally that even very weak data model in the MAP formulation of the optimal segmentation problem gives very good segmentation results. MRF with asymmetric pairwise compatibility constraints between direct pixel neighbors solves a constrained binary image segmentation task. The model is constraining shape and alignment of individual contiguous binary segments by introducing auxiliary labels and their pairwise interactions. Such representation is not necessarily unique. We study several ad-hoc labeling models for binary images consisting of nonoverlapping rectangular contiguous regions. We observed a noticeable increase in performance even in cases when the differences between the models were seemingly insignificant. We use the proposed models for segmentation of windowpanes and windows in orthographically rectified facade images. We show experimentally that even very weak data model in the MAP formulation of the optimal segmentation problem gives very good segmentation results.
dcterms:title
Languages for Constrained Binary Segmentation Based on Maximum A Posteriori Probability Labeling Languages for Constrained Binary Segmentation Based on Maximum A Posteriori Probability Labeling
skos:prefLabel
Languages for Constrained Binary Segmentation Based on Maximum A Posteriori Probability Labeling Languages for Constrained Binary Segmentation Based on Maximum A Posteriori Probability Labeling
skos:notation
RIV/68407700:21230/09:00157044!RIV10-MSM-21230___
n3:aktivita
n18:R n18:P
n3:aktivity
P(1ET101210406), R
n3:cisloPeriodika
2
n3:dodaniDat
n5:2010
n3:domaciTvurceVysledku
n7:8930112 n7:9680411
n3:druhVysledku
n16:J
n3:duvernostUdaju
n9:S
n3:entitaPredkladatele
n6:predkladatel
n3:idSjednocenehoVysledku
323183
n3:idVysledku
RIV/68407700:21230/09:00157044
n3:jazykVysledku
n14:eng
n3:klicovaSlova
computer vision; image interpretation; constrained segmentation; 2D image languages; MRF
n3:klicoveSlovo
n12:2D%20image%20languages n12:MRF n12:constrained%20segmentation n12:computer%20vision n12:image%20interpretation
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[FABF8EBEA4D1]
n3:nazevZdroje
International Journal of Imaging Systems and Technology
n3:obor
n11:JD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n15:1ET101210406
n3:rokUplatneniVysledku
n5:2009
n3:svazekPeriodika
19
n3:tvurceVysledku
Čech, Jan Šára, Radim
n3:wos
000266505900004
s:issn
0899-9457
s:numberOfPages
11
n8:organizacniJednotka
21230