A Linear Criterion to sort Color Components in Images

The color and its representation play a basic role in Image Analysis process. Several methods can be beneficial whenever they have a correct representation of wave-length variations used to represent scenes with a camera. A wide variety of spaces and color representations is founded in specialized l...

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Autores:
Rodriguez, Leonardo Barriga
Hernandez, Hugo Jimenez
Cajiga, Jorge Alberto Soto
Balanzar, Luciano Nava
Barbosa, Jose Joel Gonzalez
Espinosa, Alfonso Gomez
Ortega, Jesus Carlos Pedraza
Tipo de recurso:
Article of journal
Fecha de publicación:
2017
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/67586
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/67586
http://bdigital.unal.edu.co/68615/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
Linear sorting criterion
color sorting
color analysis
camera vibrations.
Criterio de clasificación lineal
clasificación de color
análisis de color
vibración de cámaras.
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_13cf9d2ff2b1c680cd2fdb6b047a4f3a
oai_identifier_str oai:repositorio.unal.edu.co:unal/67586
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv A Linear Criterion to sort Color Components in Images
title A Linear Criterion to sort Color Components in Images
spellingShingle A Linear Criterion to sort Color Components in Images
62 Ingeniería y operaciones afines / Engineering
Linear sorting criterion
color sorting
color analysis
camera vibrations.
Criterio de clasificación lineal
clasificación de color
análisis de color
vibración de cámaras.
title_short A Linear Criterion to sort Color Components in Images
title_full A Linear Criterion to sort Color Components in Images
title_fullStr A Linear Criterion to sort Color Components in Images
title_full_unstemmed A Linear Criterion to sort Color Components in Images
title_sort A Linear Criterion to sort Color Components in Images
dc.creator.fl_str_mv Rodriguez, Leonardo Barriga
Hernandez, Hugo Jimenez
Cajiga, Jorge Alberto Soto
Balanzar, Luciano Nava
Barbosa, Jose Joel Gonzalez
Espinosa, Alfonso Gomez
Ortega, Jesus Carlos Pedraza
dc.contributor.author.spa.fl_str_mv Rodriguez, Leonardo Barriga
Hernandez, Hugo Jimenez
Cajiga, Jorge Alberto Soto
Balanzar, Luciano Nava
Barbosa, Jose Joel Gonzalez
Espinosa, Alfonso Gomez
Ortega, Jesus Carlos Pedraza
dc.subject.ddc.spa.fl_str_mv 62 Ingeniería y operaciones afines / Engineering
topic 62 Ingeniería y operaciones afines / Engineering
Linear sorting criterion
color sorting
color analysis
camera vibrations.
Criterio de clasificación lineal
clasificación de color
análisis de color
vibración de cámaras.
dc.subject.proposal.spa.fl_str_mv Linear sorting criterion
color sorting
color analysis
camera vibrations.
Criterio de clasificación lineal
clasificación de color
análisis de color
vibración de cámaras.
description The color and its representation play a basic role in Image Analysis process. Several methods can be beneficial whenever they have a correct representation of wave-length variations used to represent scenes with a camera. A wide variety of spaces and color representations is founded in specialized literature. Each one is useful in concrete circumstances and others may offer redundant color information (for instance, all RGB components are high correlated). This work deals with the task of identifying and sorting which component from several color representations offers the majority of information about the scene. This approach is based on analyzing linear dependences among each color component, by the implementation of a new sorting algorithm based on entropy. The proposal is tested in several outdoor/indoor scenes with different light conditions. Repeatability and stability are tested in order to guarantee its use in several image analysis applications. Finally, the results of this work have been used to enhance an external algorithm to compensate the camera random vibrations.
publishDate 2017
dc.date.issued.spa.fl_str_mv 2017-01-01
dc.date.accessioned.spa.fl_str_mv 2019-07-03T04:36:39Z
dc.date.available.spa.fl_str_mv 2019-07-03T04:36:39Z
dc.type.spa.fl_str_mv Artículo de revista
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
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dc.identifier.issn.spa.fl_str_mv ISSN: 2248-8723
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/67586
dc.identifier.eprints.spa.fl_str_mv http://bdigital.unal.edu.co/68615/
identifier_str_mv ISSN: 2248-8723
url https://repositorio.unal.edu.co/handle/unal/67586
http://bdigital.unal.edu.co/68615/
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.spa.fl_str_mv https://revistas.unal.edu.co/index.php/ingeinv/article/view/55444
dc.relation.ispartof.spa.fl_str_mv Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e Investigación
Ingeniería e Investigación
dc.relation.references.spa.fl_str_mv Rodriguez, Leonardo Barriga and Hernandez, Hugo Jimenez and Cajiga, Jorge Alberto Soto and Balanzar, Luciano Nava and Barbosa, Jose Joel Gonzalez and Espinosa, Alfonso Gomez and Ortega, Jesus Carlos Pedraza (2017) A Linear Criterion to sort Color Components in Images. Ingeniería e Investigación, 37 (1). pp. 91-98. ISSN 2248-8723
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
http://creativecommons.org/licenses/by-nc/4.0/
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eu_rights_str_mv openAccess
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Nacional de Colombia - Sede Bogotá - Facultad de Ingeniería
institution Universidad Nacional de Colombia
bitstream.url.fl_str_mv https://repositorio.unal.edu.co/bitstream/unal/67586/1/55444-325930-1-PB.pdf
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spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Rodriguez, Leonardo Barrigaa87f12d9-06eb-4820-b570-cda439e8aa23300Hernandez, Hugo Jimenezc293e131-2d95-4f1d-b5a8-07324850a58e300Cajiga, Jorge Alberto Soto0ed699b9-b2d6-4187-9c82-bce66fd0112b300Balanzar, Luciano Nava59cf19c0-986c-491c-9cc8-b4ded171757a300Barbosa, Jose Joel Gonzaleze6baa2a6-7b81-495d-b063-20a2e0413ae1300Espinosa, Alfonso Gomez6b088b7f-1c36-4dff-b4a4-56f61093b6e2300Ortega, Jesus Carlos Pedraza9dde0051-ad77-45a2-96c7-728a6c92df023002019-07-03T04:36:39Z2019-07-03T04:36:39Z2017-01-01ISSN: 2248-8723https://repositorio.unal.edu.co/handle/unal/67586http://bdigital.unal.edu.co/68615/The color and its representation play a basic role in Image Analysis process. Several methods can be beneficial whenever they have a correct representation of wave-length variations used to represent scenes with a camera. A wide variety of spaces and color representations is founded in specialized literature. Each one is useful in concrete circumstances and others may offer redundant color information (for instance, all RGB components are high correlated). This work deals with the task of identifying and sorting which component from several color representations offers the majority of information about the scene. This approach is based on analyzing linear dependences among each color component, by the implementation of a new sorting algorithm based on entropy. The proposal is tested in several outdoor/indoor scenes with different light conditions. Repeatability and stability are tested in order to guarantee its use in several image analysis applications. Finally, the results of this work have been used to enhance an external algorithm to compensate the camera random vibrations.El color y su representación juegan un papel fundamental en el proceso de análisis de imagen. Varios métodos pueden ser beneficiosos siempre que tengan una representación correcta de las variaciones de longitud de onda usadas para representar la escena. Una amplia variedad de espacios y representaciones de color se basa en la literatura especializada. Cada uno de ellos es útil en circunstancias concretas y puede ofrecer información de color redundante (por ejemplo, todos los componentes RGB están altamente correlacionados). En este trabajo se identifica y clasifica cuál componente ofrece la mayor cantidad de información acerca de la escena, a partir de varias representaciones de color. Este enfoque se basa en el análisis de las dependencias lineales entre cada canal y la implementación de un nuevo algoritmo para clasificar los componentes en base a la entropía. La propuesta se pone a prueba en varias escenas al aire libre y en interiores con diferentes condiciones de luz. La repetitividad y la estabilidad son probadas para garantizar su uso en aplicaciones de análisis de imágenes. Finalmente, los resultados de este trabajo son usados para mejorar un algoritmo externo para la compensación de vibraciones.application/pdfspaUniversidad Nacional de Colombia - Sede Bogotá - Facultad de Ingenieríahttps://revistas.unal.edu.co/index.php/ingeinv/article/view/55444Universidad Nacional de Colombia Revistas electrónicas UN Ingeniería e InvestigaciónIngeniería e InvestigaciónRodriguez, Leonardo Barriga and Hernandez, Hugo Jimenez and Cajiga, Jorge Alberto Soto and Balanzar, Luciano Nava and Barbosa, Jose Joel Gonzalez and Espinosa, Alfonso Gomez and Ortega, Jesus Carlos Pedraza (2017) A Linear Criterion to sort Color Components in Images. Ingeniería e Investigación, 37 (1). pp. 91-98. ISSN 2248-872362 Ingeniería y operaciones afines / EngineeringLinear sorting criterioncolor sortingcolor analysiscamera vibrations.Criterio de clasificación linealclasificación de coloranálisis de colorvibración de cámaras.A Linear Criterion to sort Color Components in ImagesArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL55444-325930-1-PB.pdfapplication/pdf1514933https://repositorio.unal.edu.co/bitstream/unal/67586/1/55444-325930-1-PB.pdfc27d80f5439c99c8f51f7c6ec436e2ffMD51THUMBNAIL55444-325930-1-PB.pdf.jpg55444-325930-1-PB.pdf.jpgGenerated Thumbnailimage/jpeg8219https://repositorio.unal.edu.co/bitstream/unal/67586/2/55444-325930-1-PB.pdf.jpg7d774f84dd91968a867bce36bc1cec2eMD52unal/67586oai:repositorio.unal.edu.co:unal/675862023-05-30 23:03:15.856Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co