On the role of contrast and regularity in perceptual boundary saliency

Mostrar todas las versiones(2)

Mathematical Morphology proposes to extract shapes from images as connected components of level sets. These methods prove very suitable for shape recognition and analysis. We present a method to select the perceptually significant (i.e., contrasted) level lines (boundaries of level sets), using the...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Tepper, M., Musé, P., Almansa, A.
Formato: JOUR
Materias:
Edge detection
Helmholtz principle
Level lines
Topographic maps
Maps
Mathematical morphology
Connected component
Level Set
Natural images
Shape recognition
Topographic map
Numerical methods
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_09249907_v48_n3_p396_Tepper
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_09249907_v48_n3_p396_Tepper
record_format dspace
spelling todo:paper_09249907_v48_n3_p396_Tepper2023-10-03T15:46:07Z On the role of contrast and regularity in perceptual boundary saliency Tepper, M. Musé, P. Almansa, A. Edge detection Helmholtz principle Level lines Topographic maps Edge detection Maps Mathematical morphology Connected component Helmholtz principle Level lines Level Set Natural images Shape recognition Topographic map Numerical methods Mathematical Morphology proposes to extract shapes from images as connected components of level sets. These methods prove very suitable for shape recognition and analysis. We present a method to select the perceptually significant (i.e., contrasted) level lines (boundaries of level sets), using the Helmholtz principle as first proposed by Desolneux et al. Contrarily to the classical formulation by Desolneux et al. where level lines must be entirely salient, the proposed method allows to detect partially salient level lines, thus resulting in more robust and more stable detections. We then tackle the problem of combining two gestalts as a measure of saliency and propose a method that reinforces detections. Results in natural images show the good performance of the proposed methods. © 2013 Springer Science+Business Media New York. Fil:Tepper, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_09249907_v48_n3_p396_Tepper
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Edge detection
Helmholtz principle
Level lines
Topographic maps
Edge detection
Maps
Mathematical morphology
Connected component
Helmholtz principle
Level lines
Level Set
Natural images
Shape recognition
Topographic map
Numerical methods
spellingShingle Edge detection
Helmholtz principle
Level lines
Topographic maps
Edge detection
Maps
Mathematical morphology
Connected component
Helmholtz principle
Level lines
Level Set
Natural images
Shape recognition
Topographic map
Numerical methods
Tepper, M.
Musé, P.
Almansa, A.
On the role of contrast and regularity in perceptual boundary saliency
topic_facet Edge detection
Helmholtz principle
Level lines
Topographic maps
Edge detection
Maps
Mathematical morphology
Connected component
Helmholtz principle
Level lines
Level Set
Natural images
Shape recognition
Topographic map
Numerical methods
description Mathematical Morphology proposes to extract shapes from images as connected components of level sets. These methods prove very suitable for shape recognition and analysis. We present a method to select the perceptually significant (i.e., contrasted) level lines (boundaries of level sets), using the Helmholtz principle as first proposed by Desolneux et al. Contrarily to the classical formulation by Desolneux et al. where level lines must be entirely salient, the proposed method allows to detect partially salient level lines, thus resulting in more robust and more stable detections. We then tackle the problem of combining two gestalts as a measure of saliency and propose a method that reinforces detections. Results in natural images show the good performance of the proposed methods. © 2013 Springer Science+Business Media New York.
format JOUR
author Tepper, M.
Musé, P.
Almansa, A.
author_facet Tepper, M.
Musé, P.
Almansa, A.
author_sort Tepper, M.
title On the role of contrast and regularity in perceptual boundary saliency
title_short On the role of contrast and regularity in perceptual boundary saliency
title_full On the role of contrast and regularity in perceptual boundary saliency
title_fullStr On the role of contrast and regularity in perceptual boundary saliency
title_full_unstemmed On the role of contrast and regularity in perceptual boundary saliency
title_sort on the role of contrast and regularity in perceptual boundary saliency
url http://hdl.handle.net/20.500.12110/paper_09249907_v48_n3_p396_Tepper
work_keys_str_mv AT tepperm ontheroleofcontrastandregularityinperceptualboundarysaliency
AT musep ontheroleofcontrastandregularityinperceptualboundarysaliency
AT almansaa ontheroleofcontrastandregularityinperceptualboundarysaliency
_version_ 1807324073817014272

Ejemplares similares