About: Languages for Constrained Binary Segmentation Based on Maximum A Posteriori Probability Labeling

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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. (en)
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 (en)
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 (en)
skos:notation	RIV/68407700:21230/09:00157044!RIV10-MSM-21230___
http://linked.open...avai/riv/aktivita	P R
http://linked.open...avai/riv/aktivity	P(1ET101210406), R
http://linked.open...iv/cisloPeriodika	2
http://linked.open...vai/riv/dodaniDat	2010
http://linked.open...aciTvurceVysledku	Šára, Radim Čech, Jan
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	323183
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/09:00157044
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	computer vision; image interpretation; constrained segmentation; 2D image languages; MRF (en)
http://linked.open.../riv/klicoveSlovo	2D image languages computer vision image interpretation constrained segmentation MRF
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[FABF8EBEA4D1]
http://linked.open...i/riv/nazevZdroje	International Journal of Imaging Systems and Technology
http://linked.open...in/vavai/riv/obor	JD
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Automatic 3D Virtual Model Builder from Photographs
http://linked.open...UplatneniVysledku	2009
http://linked.open...v/svazekPeriodika	19
http://linked.open...iv/tvurceVysledku	Čech, Jan Šára, Radim
http://linked.open...ain/vavai/riv/wos	000266505900004
issn	0899-9457
number of pages	11 (xsd:int)
http://localhost/t...ganizacniJednotka	21230

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