Bio-Inspired Computation and Applications in Image Processing

Detalhes bibliográficos
Autor(a) principal: Yang, Xin-She
Data de Publicação: 2016
Outros Autores: Papa, João Paulo [UNESP]
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/232591
Resumo: Bio-Inspired Computation and Applications in Image Processing summarizes the latest developments in bio-inspired computation in image processing, focusing on nature-inspired algorithms that are linked with deep learning, such as ant colony optimization, particle swarm optimization, and bat and firefly algorithms that have recently emerged in the field. In addition to documenting state-of-the-art developments, this book also discusses future research trends in bio-inspired computation, helping researchers establish new research avenues to pursue. Reviews the latest developments in bio-inspired computation in image processing Focuses on the introduction and analysis of the key bio-inspired methods and techniques Combines theory with real-world applications in image processing Helps solve complex problems in image and signal processing Contains a diverse range of self-contained case studies in real-world applications.
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spelling Bio-Inspired Computation and Applications in Image ProcessingBio-Inspired Computation and Applications in Image Processing summarizes the latest developments in bio-inspired computation in image processing, focusing on nature-inspired algorithms that are linked with deep learning, such as ant colony optimization, particle swarm optimization, and bat and firefly algorithms that have recently emerged in the field. In addition to documenting state-of-the-art developments, this book also discusses future research trends in bio-inspired computation, helping researchers establish new research avenues to pursue. Reviews the latest developments in bio-inspired computation in image processing Focuses on the introduction and analysis of the key bio-inspired methods and techniques Combines theory with real-world applications in image processing Helps solve complex problems in image and signal processing Contains a diverse range of self-contained case studies in real-world applications.School of Science and Technology Middlesex UniversityDepartment of Computing São Paulo State UniversityDepartment of Computing São Paulo State UniversityMiddlesex UniversityUniversidade Estadual Paulista (UNESP)Yang, Xin-ShePapa, João Paulo [UNESP]2022-04-29T23:39:07Z2022-04-29T23:39:07Z2016-08-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/book1-353Bio-Inspired Computation and Applications in Image Processing, p. 1-353.http://hdl.handle.net/11449/2325912-s2.0-85017434775Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBio-Inspired Computation and Applications in Image Processinginfo:eu-repo/semantics/openAccess2024-04-23T16:11:11Zoai:repositorio.unesp.br:11449/232591Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:41:37.973128Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Bio-Inspired Computation and Applications in Image Processing
title Bio-Inspired Computation and Applications in Image Processing
spellingShingle Bio-Inspired Computation and Applications in Image Processing
Yang, Xin-She
title_short Bio-Inspired Computation and Applications in Image Processing
title_full Bio-Inspired Computation and Applications in Image Processing
title_fullStr Bio-Inspired Computation and Applications in Image Processing
title_full_unstemmed Bio-Inspired Computation and Applications in Image Processing
title_sort Bio-Inspired Computation and Applications in Image Processing
author Yang, Xin-She
author_facet Yang, Xin-She
Papa, João Paulo [UNESP]
author_role author
author2 Papa, João Paulo [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Middlesex University
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Yang, Xin-She
Papa, João Paulo [UNESP]
description Bio-Inspired Computation and Applications in Image Processing summarizes the latest developments in bio-inspired computation in image processing, focusing on nature-inspired algorithms that are linked with deep learning, such as ant colony optimization, particle swarm optimization, and bat and firefly algorithms that have recently emerged in the field. In addition to documenting state-of-the-art developments, this book also discusses future research trends in bio-inspired computation, helping researchers establish new research avenues to pursue. Reviews the latest developments in bio-inspired computation in image processing Focuses on the introduction and analysis of the key bio-inspired methods and techniques Combines theory with real-world applications in image processing Helps solve complex problems in image and signal processing Contains a diverse range of self-contained case studies in real-world applications.
publishDate 2016
dc.date.none.fl_str_mv 2016-08-11
2022-04-29T23:39:07Z
2022-04-29T23:39:07Z
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 Bio-Inspired Computation and Applications in Image Processing, p. 1-353.
http://hdl.handle.net/11449/232591
2-s2.0-85017434775
identifier_str_mv Bio-Inspired Computation and Applications in Image Processing, p. 1-353.
2-s2.0-85017434775
url http://hdl.handle.net/11449/232591
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Bio-Inspired Computation and Applications in Image Processing
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1-353
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
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