A Note on Gradient-Based Intensity Normalization

Detalhes bibliográficos
Autor(a) principal: Forero, Manuel G.
Data de Publicação: 2019
Outros Autores: Arias-Rubio, Carlos, Horta-Júnior, José de Anchieta C. [UNESP], López, Dolores E.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/978-3-030-31332-6_14
http://hdl.handle.net/11449/198246
Resumo: This paper presents an improvement on gradient-based intensity normalization introduced by Sintorn et al., which is used in microscopy, especially in the evaluation of proteins and other cell elements in densitometry. In this method, images contain similar textures, but their density and intensity may vary dramatically. Two new profiles are introduced, and the Bhattacharyya distance is employed to find the best matching result. Results show the validity of the improved method.
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spelling A Note on Gradient-Based Intensity NormalizationBivariate histogramDensitometryHistogram profilesIntensity normalizationMicroscopyThis paper presents an improvement on gradient-based intensity normalization introduced by Sintorn et al., which is used in microscopy, especially in the evaluation of proteins and other cell elements in densitometry. In this method, images contain similar textures, but their density and intensity may vary dramatically. Two new profiles are introduced, and the Bhattacharyya distance is employed to find the best matching result. Results show the validity of the improved method.Facultad de Ingeniería Universidad de IbaguéAnatomy Department São Paulo State University (UNESP)Instituto de Neurociencias de Castilla y León Universidad de SalamancaAnatomy Department São Paulo State University (UNESP)Universidad de IbaguéUniversidade Estadual Paulista (Unesp)Universidad de SalamancaForero, Manuel G.Arias-Rubio, CarlosHorta-Júnior, José de Anchieta C. [UNESP]López, Dolores E.2020-12-12T01:07:33Z2020-12-12T01:07:33Z2019-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject161-169http://dx.doi.org/10.1007/978-3-030-31332-6_14Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11867 LNCS, p. 161-169.1611-33490302-9743http://hdl.handle.net/11449/19824610.1007/978-3-030-31332-6_142-s2.0-85076082551Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)info:eu-repo/semantics/openAccess2021-10-23T10:11:05Zoai:repositorio.unesp.br:11449/198246Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:41:29.117389Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A Note on Gradient-Based Intensity Normalization
title A Note on Gradient-Based Intensity Normalization
spellingShingle A Note on Gradient-Based Intensity Normalization
Forero, Manuel G.
Bivariate histogram
Densitometry
Histogram profiles
Intensity normalization
Microscopy
title_short A Note on Gradient-Based Intensity Normalization
title_full A Note on Gradient-Based Intensity Normalization
title_fullStr A Note on Gradient-Based Intensity Normalization
title_full_unstemmed A Note on Gradient-Based Intensity Normalization
title_sort A Note on Gradient-Based Intensity Normalization
author Forero, Manuel G.
author_facet Forero, Manuel G.
Arias-Rubio, Carlos
Horta-Júnior, José de Anchieta C. [UNESP]
López, Dolores E.
author_role author
author2 Arias-Rubio, Carlos
Horta-Júnior, José de Anchieta C. [UNESP]
López, Dolores E.
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidad de Ibagué
Universidade Estadual Paulista (Unesp)
Universidad de Salamanca
dc.contributor.author.fl_str_mv Forero, Manuel G.
Arias-Rubio, Carlos
Horta-Júnior, José de Anchieta C. [UNESP]
López, Dolores E.
dc.subject.por.fl_str_mv Bivariate histogram
Densitometry
Histogram profiles
Intensity normalization
Microscopy
topic Bivariate histogram
Densitometry
Histogram profiles
Intensity normalization
Microscopy
description This paper presents an improvement on gradient-based intensity normalization introduced by Sintorn et al., which is used in microscopy, especially in the evaluation of proteins and other cell elements in densitometry. In this method, images contain similar textures, but their density and intensity may vary dramatically. Two new profiles are introduced, and the Bhattacharyya distance is employed to find the best matching result. Results show the validity of the improved method.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
2020-12-12T01:07:33Z
2020-12-12T01:07:33Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/978-3-030-31332-6_14
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11867 LNCS, p. 161-169.
1611-3349
0302-9743
http://hdl.handle.net/11449/198246
10.1007/978-3-030-31332-6_14
2-s2.0-85076082551
url http://dx.doi.org/10.1007/978-3-030-31332-6_14
http://hdl.handle.net/11449/198246
identifier_str_mv Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 11867 LNCS, p. 161-169.
1611-3349
0302-9743
10.1007/978-3-030-31332-6_14
2-s2.0-85076082551
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 161-169
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128403075760128

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