Identification of wood from the Amazon by characteristics of Haralick and Neural Network
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
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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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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 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 |
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1799138124619579392 |