Color Models and Illumination Changes

Bibliographic Details
Main Author: Duque, Duarte
Publication Date: 2012
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/11110/543
Summary: Color model representation allows characterizing in a quantitative manner, any defined color spectrum of visible light, i.e. with a wavelength between 400nm and 700nm. To accomplish that, each model, or color space, is associated with a function that allows mapping the spectral power distribution of the visible electromagnetic radiation, in a space defined by a set of discrete values that quantify the color components composing the model. Some color spaces are sensitive to changes in lighting conditions. Others assure the preservation of certain chromatic features, remaining immune to these changes. Therefore, it becomes necessary to identify the strengths and weaknesses of each model in order to justify the adoption of color spaces in image processing and analysis techniques. This chapter will address the topic of digital imaging, main standards and formats. Next we will set the mathematical model of the image acquisition sensor response, which enables assessment of the various color spaces, with the aim of determining their invariance to illumination changes.
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spelling Color Models and Illumination ChangesColorImageColor model representation allows characterizing in a quantitative manner, any defined color spectrum of visible light, i.e. with a wavelength between 400nm and 700nm. To accomplish that, each model, or color space, is associated with a function that allows mapping the spectral power distribution of the visible electromagnetic radiation, in a space defined by a set of discrete values that quantify the color components composing the model. Some color spaces are sensitive to changes in lighting conditions. Others assure the preservation of certain chromatic features, remaining immune to these changes. Therefore, it becomes necessary to identify the strengths and weaknesses of each model in order to justify the adoption of color spaces in image processing and analysis techniques. This chapter will address the topic of digital imaging, main standards and formats. Next we will set the mathematical model of the image acquisition sensor response, which enables assessment of the various color spaces, with the aim of determining their invariance to illumination changes.Nova Science Publishers, Incorporated2013-12-21T14:17:25Z2012-12-28T00:00:00Zbook partinfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/11110/543oai:ciencipca.ipca.pt:11110/543eng9781620818442http://hdl.handle.net/11110/543metadata only accessinfo:eu-repo/semantics/openAccessDuque, Duartereponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2022-09-05T12:52:06Zoai:ciencipca.ipca.pt:11110/543Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T10:01:44.111058Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Color Models and Illumination Changes
title Color Models and Illumination Changes
spellingShingle Color Models and Illumination Changes
Duque, Duarte
Color
Image
title_short Color Models and Illumination Changes
title_full Color Models and Illumination Changes
title_fullStr Color Models and Illumination Changes
title_full_unstemmed Color Models and Illumination Changes
title_sort Color Models and Illumination Changes
author Duque, Duarte
author_facet Duque, Duarte
author_role author
dc.contributor.author.fl_str_mv Duque, Duarte
dc.subject.por.fl_str_mv Color
Image
topic Color
Image
description Color model representation allows characterizing in a quantitative manner, any defined color spectrum of visible light, i.e. with a wavelength between 400nm and 700nm. To accomplish that, each model, or color space, is associated with a function that allows mapping the spectral power distribution of the visible electromagnetic radiation, in a space defined by a set of discrete values that quantify the color components composing the model. Some color spaces are sensitive to changes in lighting conditions. Others assure the preservation of certain chromatic features, remaining immune to these changes. Therefore, it becomes necessary to identify the strengths and weaknesses of each model in order to justify the adoption of color spaces in image processing and analysis techniques. This chapter will address the topic of digital imaging, main standards and formats. Next we will set the mathematical model of the image acquisition sensor response, which enables assessment of the various color spaces, with the aim of determining their invariance to illumination changes.
publishDate 2012
dc.date.none.fl_str_mv 2012-12-28T00:00:00Z
2013-12-21T14:17:25Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/11110/543
oai:ciencipca.ipca.pt:11110/543
url http://hdl.handle.net/11110/543
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 9781620818442
http://hdl.handle.net/11110/543
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dc.publisher.none.fl_str_mv Nova Science Publishers, Incorporated
publisher.none.fl_str_mv Nova Science Publishers, Incorporated
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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