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

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

<a href="/cs/project/1ET101210406" target="_blank" >1ET101210406: Automatická konstrukce trojrozměrných virtuálních modelů z fotografií</a><br>

Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2009

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Journal of Imaging Systems and Technology

ISSN

0899-9457

e-ISSN

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Svazek periodika

19

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

11

Strana od-do

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Kód UT WoS článku

000266505900004

EID výsledku v databázi Scopus

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