About: Languages for Constrained Binary Segmentation Based on Maximum A Posteriori Probability Labeling     Goto   Sponge   Distinct   Permalink

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

AttributesValues
rdf:type
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
http://linked.open...avai/riv/aktivity
  • P(1ET101210406), R
http://linked.open...iv/cisloPeriodika
  • 2
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 323183
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/09:00157044
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • computer vision; image interpretation; constrained segmentation; 2D image languages; MRF (en)
http://linked.open.../riv/klicoveSlovo
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
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
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
http://localhost/t...ganizacniJednotka
  • 21230
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 112 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software