On the Role of Contrast and Regularity in Perceptual Boundary Saliency

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...

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Autor principal: Tepper, Mariano Hernán
Publicado: 2013
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09249907_v_n_p1_Tepper
http://hdl.handle.net/20.500.12110/paper_09249907_v_n_p1_Tepper
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spelling paper:paper_09249907_v_n_p1_Tepper2023-06-08T15:51:12Z On the Role of Contrast and Regularity in Perceptual Boundary Saliency Tepper, Mariano Hernán Edge detection Helmholtz principle Level lines Topographic maps 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. 2013 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09249907_v_n_p1_Tepper http://hdl.handle.net/20.500.12110/paper_09249907_v_n_p1_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
spellingShingle Edge detection
Helmholtz principle
Level lines
Topographic maps
Tepper, Mariano Hernán
On the Role of Contrast and Regularity in Perceptual Boundary Saliency
topic_facet Edge detection
Helmholtz principle
Level lines
Topographic maps
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.
author Tepper, Mariano Hernán
author_facet Tepper, Mariano Hernán
author_sort Tepper, Mariano Hernán
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
publishDate 2013
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_09249907_v_n_p1_Tepper
http://hdl.handle.net/20.500.12110/paper_09249907_v_n_p1_Tepper
work_keys_str_mv AT teppermarianohernan ontheroleofcontrastandregularityinperceptualboundarysaliency
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