Novel image enhancement method based on an artificial life model
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | |
Tipo de documento: | Livro |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/10216/63512 |
Resumo: | In this work, a method to enhance images based on a new artificial life model is presented. The model is inspired on the behaviour of a herbivore organism, when this organism is in a certain environment and selects its food. This organism travels through the image iteratively, selecting the more suitable food and eating parts of it in each iteration. The path that the organism travels through in the image is defined by a priori knowledge about the environment and how it should move in it. Here, we modeled the control and perception centers of the organism, as well as the simulation of its actions and effects on the environment. To demonstrate the efficiency of our method quantitative and qualitative results of the enhancement of synthetic and real images with low contrast and different levels of noise are presented. Obtained results confirm the ability of the new artificial life model for improving the contrast of the objects in the input images. |
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Novel image enhancement method based on an artificial life modelCiências Tecnológicas, Outras ciências da engenharia e tecnologiasTechnological sciences, Other engineering and technologiesIn this work, a method to enhance images based on a new artificial life model is presented. The model is inspired on the behaviour of a herbivore organism, when this organism is in a certain environment and selects its food. This organism travels through the image iteratively, selecting the more suitable food and eating parts of it in each iteration. The path that the organism travels through in the image is defined by a priori knowledge about the environment and how it should move in it. Here, we modeled the control and perception centers of the organism, as well as the simulation of its actions and effects on the environment. To demonstrate the efficiency of our method quantitative and qualitative results of the enhancement of synthetic and real images with low contrast and different levels of noise are presented. Obtained results confirm the ability of the new artificial life model for improving the contrast of the objects in the input images.20122012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/63512engAlex F. de AraújoJoão Manuel R. S.Tavaresinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T13:57:18Zoai:repositorio-aberto.up.pt:10216/63512Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:51:00.897041Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Novel image enhancement method based on an artificial life model |
title |
Novel image enhancement method based on an artificial life model |
spellingShingle |
Novel image enhancement method based on an artificial life model Alex F. de Araújo Ciências Tecnológicas, Outras ciências da engenharia e tecnologias Technological sciences, Other engineering and technologies |
title_short |
Novel image enhancement method based on an artificial life model |
title_full |
Novel image enhancement method based on an artificial life model |
title_fullStr |
Novel image enhancement method based on an artificial life model |
title_full_unstemmed |
Novel image enhancement method based on an artificial life model |
title_sort |
Novel image enhancement method based on an artificial life model |
author |
Alex F. de Araújo |
author_facet |
Alex F. de Araújo João Manuel R. S.Tavares |
author_role |
author |
author2 |
João Manuel R. S.Tavares |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Alex F. de Araújo João Manuel R. S.Tavares |
dc.subject.por.fl_str_mv |
Ciências Tecnológicas, Outras ciências da engenharia e tecnologias Technological sciences, Other engineering and technologies |
topic |
Ciências Tecnológicas, Outras ciências da engenharia e tecnologias Technological sciences, Other engineering and technologies |
description |
In this work, a method to enhance images based on a new artificial life model is presented. The model is inspired on the behaviour of a herbivore organism, when this organism is in a certain environment and selects its food. This organism travels through the image iteratively, selecting the more suitable food and eating parts of it in each iteration. The path that the organism travels through in the image is defined by a priori knowledge about the environment and how it should move in it. Here, we modeled the control and perception centers of the organism, as well as the simulation of its actions and effects on the environment. To demonstrate the efficiency of our method quantitative and qualitative results of the enhancement of synthetic and real images with low contrast and different levels of noise are presented. Obtained results confirm the ability of the new artificial life model for improving the contrast of the objects in the input images. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012 2012-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/book |
format |
book |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10216/63512 |
url |
https://hdl.handle.net/10216/63512 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799135829485944832 |