Identification of wood from the Amazon by characteristics of Haralick and Neural Network

Detalhes bibliográficos
Autor(a) principal: de Souza Vieira, Giselly Lenise
Data de Publicação: 2022
Outros Autores: Moutinho da Ponte, Márcio José, Pereira Moutinho, Victor Hugo, Jardim-Gonçalves, Ricardo, Pantoja Lima, Celson, de Albuquerque Vinagre, Marco Valério
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/148593
Resumo: Publisher Copyright: © SISEF.
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spelling Identification of wood from the Amazon by characteristics of Haralick and Neural Networkimage segmentation and polishing of the surfaceAmazonArtificial Neural NetworksDigital Image ProcessingPattern RecognitionTechnologyWood IdentificationForestryEcologyNature and Landscape ConservationPublisher Copyright: © SISEF.The identification of Amazonian timber species is a complex problem due to their great diversity and the lack of leaf material in the post-harvest inspec-tion often hampers a correct recognition of the wood species. In this context, we developed a pattern recognition system of wood images to identify com-monly traded species, with the aim of increasing the accuracy and efficiency of current identification methods. We used ten different species with three polishing treatments and twenty images for each wood species. As for the image recognition system, the textural segmentation associated with Haralick characteristics and classified by Artificial Neural Networks was used. We veri-fied that the improvement of sandpaper granulometry increased the accuracy of species recognition. The developed model based on linear regression achieved a recognition rate of 94% in the training phase, and a post-training recognition rate of 65% for wood treated with 120-grit sandpaper mesh. We concluded that the wood pattern recognition model presented has the potential to correctly identify the wood species studied.DEE - Departamento de Engenharia Electrotécnica e de ComputadoresRUNde Souza Vieira, Giselly LeniseMoutinho da Ponte, Márcio JoséPereira Moutinho, Victor HugoJardim-Gonçalves, RicardoPantoja Lima, Celsonde Albuquerque Vinagre, Marco Valério2023-02-02T22:20:37Z2022-072022-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article6application/pdfhttp://hdl.handle.net/10362/148593eng1971-7458PURE: 51559505https://doi.org/10.3832/ifor3906-015info: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:RCAAP2024-03-11T05:30:15Zoai:run.unl.pt:10362/148593Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:53:25.923339Repositório 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 Identification of wood from the Amazon by characteristics of Haralick and Neural Network
image segmentation and polishing of the surface
title Identification of wood from the Amazon by characteristics of Haralick and Neural Network
spellingShingle Identification of wood from the Amazon by characteristics of Haralick and Neural Network
de Souza Vieira, Giselly Lenise
Amazon
Artificial Neural Networks
Digital Image Processing
Pattern Recognition
Technology
Wood Identification
Forestry
Ecology
Nature and Landscape Conservation
title_short Identification of wood from the Amazon by characteristics of Haralick and Neural Network
title_full Identification of wood from the Amazon by characteristics of Haralick and Neural Network
title_fullStr Identification of wood from the Amazon by characteristics of Haralick and Neural Network
title_full_unstemmed Identification of wood from the Amazon by characteristics of Haralick and Neural Network
title_sort Identification of wood from the Amazon by characteristics of Haralick and Neural Network
author de Souza Vieira, Giselly Lenise
author_facet de Souza Vieira, Giselly Lenise
Moutinho da Ponte, Márcio José
Pereira Moutinho, Victor Hugo
Jardim-Gonçalves, Ricardo
Pantoja Lima, Celson
de Albuquerque Vinagre, Marco Valério
author_role author
author2 Moutinho da Ponte, Márcio José
Pereira Moutinho, Victor Hugo
Jardim-Gonçalves, Ricardo
Pantoja Lima, Celson
de Albuquerque Vinagre, Marco Valério
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv DEE - Departamento de Engenharia Electrotécnica e de Computadores
RUN
dc.contributor.author.fl_str_mv de Souza Vieira, Giselly Lenise
Moutinho da Ponte, Márcio José
Pereira Moutinho, Victor Hugo
Jardim-Gonçalves, Ricardo
Pantoja Lima, Celson
de Albuquerque Vinagre, Marco Valério
dc.subject.por.fl_str_mv Amazon
Artificial Neural Networks
Digital Image Processing
Pattern Recognition
Technology
Wood Identification
Forestry
Ecology
Nature and Landscape Conservation
topic Amazon
Artificial Neural Networks
Digital Image Processing
Pattern Recognition
Technology
Wood Identification
Forestry
Ecology
Nature and Landscape Conservation
description Publisher Copyright: © SISEF.
publishDate 2022
dc.date.none.fl_str_mv 2022-07
2022-07-01T00:00:00Z
2023-02-02T22:20:37Z
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/10362/148593
url http://hdl.handle.net/10362/148593
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1971-7458
PURE: 51559505
https://doi.org/10.3832/ifor3906-015
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 6
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instacron:RCAAP
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