Finding edges by a contrario detection of periodic subsequences

A new method to detect salient pieces of boundaries in an image is presented. After detecting perceptually meaningful level lines, periodic binary sequences are built by labeling each point in close curves as salient or non-salient. We propose a general and automatic method to detect meaningful subs...

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Autores principales: Tepper, M., Musé, P., Almansa, A., Mejail, M.
Formato: Artículo publishedVersion
Lenguaje:Inglés
Publicado: 2012
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p773_Tepper
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id paperaa:paper_03029743_v7441LNCS_n_p773_Tepper
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spelling paperaa:paper_03029743_v7441LNCS_n_p773_Tepper2023-06-12T16:47:24Z Finding edges by a contrario detection of periodic subsequences Lect. Notes Comput. Sci. 2012;7441 LNCS:773-780 Tepper, M. Musé, P. Almansa, A. Mejail, M. edge detection Helmholtz principle level lines periodic binary sequences topographic maps Automatic method Helmholtz principle Level lines Periodic binary sequences Topographic map Binary sequences Edge detection Image analysis Maps Computer vision A new method to detect salient pieces of boundaries in an image is presented. After detecting perceptually meaningful level lines, periodic binary sequences are built by labeling each point in close curves as salient or non-salient. We propose a general and automatic method to detect meaningful subsequences within these binary sequences. Experimental results show its good performance. © 2012 Springer-Verlag. Fil:Tepper, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Mejail, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2012 info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion application/pdf eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p773_Tepper
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
language Inglés
orig_language_str_mv eng
topic edge detection
Helmholtz principle
level lines
periodic binary sequences
topographic maps
Automatic method
Helmholtz principle
Level lines
Periodic binary sequences
Topographic map
Binary sequences
Edge detection
Image analysis
Maps
Computer vision
spellingShingle edge detection
Helmholtz principle
level lines
periodic binary sequences
topographic maps
Automatic method
Helmholtz principle
Level lines
Periodic binary sequences
Topographic map
Binary sequences
Edge detection
Image analysis
Maps
Computer vision
Tepper, M.
Musé, P.
Almansa, A.
Mejail, M.
Finding edges by a contrario detection of periodic subsequences
topic_facet edge detection
Helmholtz principle
level lines
periodic binary sequences
topographic maps
Automatic method
Helmholtz principle
Level lines
Periodic binary sequences
Topographic map
Binary sequences
Edge detection
Image analysis
Maps
Computer vision
description A new method to detect salient pieces of boundaries in an image is presented. After detecting perceptually meaningful level lines, periodic binary sequences are built by labeling each point in close curves as salient or non-salient. We propose a general and automatic method to detect meaningful subsequences within these binary sequences. Experimental results show its good performance. © 2012 Springer-Verlag.
format Artículo
Artículo
publishedVersion
author Tepper, M.
Musé, P.
Almansa, A.
Mejail, M.
author_facet Tepper, M.
Musé, P.
Almansa, A.
Mejail, M.
author_sort Tepper, M.
title Finding edges by a contrario detection of periodic subsequences
title_short Finding edges by a contrario detection of periodic subsequences
title_full Finding edges by a contrario detection of periodic subsequences
title_fullStr Finding edges by a contrario detection of periodic subsequences
title_full_unstemmed Finding edges by a contrario detection of periodic subsequences
title_sort finding edges by a contrario detection of periodic subsequences
publishDate 2012
url http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p773_Tepper
work_keys_str_mv AT tepperm findingedgesbyacontrariodetectionofperiodicsubsequences
AT musep findingedgesbyacontrariodetectionofperiodicsubsequences
AT almansaa findingedgesbyacontrariodetectionofperiodicsubsequences
AT mejailm findingedgesbyacontrariodetectionofperiodicsubsequences
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