Languages for Constrained Binary Segmentation Based on Maximum A Posteriori Probability Labeling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00157044" target="_blank" >RIV/68407700:21230/09:00157044 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Languages for Constrained Binary Segmentation Based on Maximum A Posteriori Probability Labeling
Original language 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 inthe MAP formulation of the optimal segmentation problem gives very good segmentation results.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1ET101210406" target="_blank" >1ET101210406: Automatic 3D Virtual Model Builder from Photographs</a><br>
Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Imaging Systems and Technology
ISSN
0899-9457
e-ISSN
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Volume of the periodical
19
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
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UT code for WoS article
000266505900004
EID of the result in the Scopus database
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