Fractional order color image processing

Detalhes bibliográficos
Autor(a) principal: Henriques, Manuel
Data de Publicação: 2021
Outros Autores: Valério, Duarte, Gordo, Paulo, Melício, Rui
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/30734
https://doi.org/10.3390/math9050457
Resumo: Many image processing algorithms make use of derivatives. In such cases, fractional derivatives allow an extra degree of freedom, which can be used to obtain better results in applications such as edge detection. Published literature concentrates on grey-scale images; in this paper, algorithms of six fractional detectors for colour images are implemented, and their performance is illustrated. The algorithms are: Canny, Sobel, Roberts, Laplacian of Gaussian, CRONE, and fractional derivative.
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spelling Fractional order color image processingFractional DerivativesImage ProcessingColour ImagesSatellite ImagesVery-High- Resolution SatelliteSatellite Imagery ProcessingMany image processing algorithms make use of derivatives. In such cases, fractional derivatives allow an extra degree of freedom, which can be used to obtain better results in applications such as edge detection. Published literature concentrates on grey-scale images; in this paper, algorithms of six fractional detectors for colour images are implemented, and their performance is illustrated. The algorithms are: Canny, Sobel, Roberts, Laplacian of Gaussian, CRONE, and fractional derivative.2022-01-11T11:03:59Z2022-01-112021-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/30734http://hdl.handle.net/10174/30734https://doi.org/10.3390/math9050457engndndndruimelicio@gmail.com246Henriques, ManuelValério, DuarteGordo, PauloMelício, Ruiinfo: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:RCAAP2024-01-03T19:29:02Zoai:dspace.uevora.pt:10174/30734Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:20:07.190952Repositório 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 Fractional order color image processing
title Fractional order color image processing
spellingShingle Fractional order color image processing
Henriques, Manuel
Fractional Derivatives
Image Processing
Colour Images
Satellite Images
Very-High- Resolution Satellite
Satellite Imagery Processing
title_short Fractional order color image processing
title_full Fractional order color image processing
title_fullStr Fractional order color image processing
title_full_unstemmed Fractional order color image processing
title_sort Fractional order color image processing
author Henriques, Manuel
author_facet Henriques, Manuel
Valério, Duarte
Gordo, Paulo
Melício, Rui
author_role author
author2 Valério, Duarte
Gordo, Paulo
Melício, Rui
author2_role author
author
author
dc.contributor.author.fl_str_mv Henriques, Manuel
Valério, Duarte
Gordo, Paulo
Melício, Rui
dc.subject.por.fl_str_mv Fractional Derivatives
Image Processing
Colour Images
Satellite Images
Very-High- Resolution Satellite
Satellite Imagery Processing
topic Fractional Derivatives
Image Processing
Colour Images
Satellite Images
Very-High- Resolution Satellite
Satellite Imagery Processing
description Many image processing algorithms make use of derivatives. In such cases, fractional derivatives allow an extra degree of freedom, which can be used to obtain better results in applications such as edge detection. Published literature concentrates on grey-scale images; in this paper, algorithms of six fractional detectors for colour images are implemented, and their performance is illustrated. The algorithms are: Canny, Sobel, Roberts, Laplacian of Gaussian, CRONE, and fractional derivative.
publishDate 2021
dc.date.none.fl_str_mv 2021-02-01T00:00:00Z
2022-01-11T11:03:59Z
2022-01-11
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/30734
http://hdl.handle.net/10174/30734
https://doi.org/10.3390/math9050457
url http://hdl.handle.net/10174/30734
https://doi.org/10.3390/math9050457
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv nd
nd
nd
ruimelicio@gmail.com
246
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eu_rights_str_mv openAccess
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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
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