Application of computer vision methods to estimate the coverage of peen formed plates (2010)
- Authors:
- USP affiliated authors: MARTINS, FLAVIUS PORTELLA RIBAS - EP ; FLEURY, AGENOR DE TOLEDO - EP
- Unidade: EP
- Subjects: VISÃO COMPUTACIONAL; PROCESSOS DE FABRICAÇÃO; TRATAMENTO DE SUPERFÍCIES
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal of Achievements in Materials and Manufacturing Engineering
- ISSN: 1734-8412
- Volume/Número/Paginação/Ano: v. 43, n. 2, p. 743-749, Dec. 2010
-
ABNT
VIEIRA, Luiz Carlos et al. Application of computer vision methods to estimate the coverage of peen formed plates. Journal of Achievements in Materials and Manufacturing Engineering, v. 43, n. 2, p. 743-749, 2010Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/28acd301-9e92-4d86-8916-96e2c52d3b0b/Fleury-2010-Application%20of%20computer%20vision%20methods%20ok.pdf. Acesso em: 16 abr. 2026. -
APA
Vieira, L. C., Almeida, R. H. Z., Martins, F. P. R., & Fleury, A. de T. (2010). Application of computer vision methods to estimate the coverage of peen formed plates. Journal of Achievements in Materials and Manufacturing Engineering, 43( 2), 743-749. Recuperado de https://repositorio.usp.br/directbitstream/28acd301-9e92-4d86-8916-96e2c52d3b0b/Fleury-2010-Application%20of%20computer%20vision%20methods%20ok.pdf -
NLM
Vieira LC, Almeida RHZ, Martins FPR, Fleury A de T. Application of computer vision methods to estimate the coverage of peen formed plates [Internet]. Journal of Achievements in Materials and Manufacturing Engineering. 2010 ; 43( 2): 743-749.[citado 2026 abr. 16 ] Available from: https://repositorio.usp.br/directbitstream/28acd301-9e92-4d86-8916-96e2c52d3b0b/Fleury-2010-Application%20of%20computer%20vision%20methods%20ok.pdf -
Vancouver
Vieira LC, Almeida RHZ, Martins FPR, Fleury A de T. Application of computer vision methods to estimate the coverage of peen formed plates [Internet]. Journal of Achievements in Materials and Manufacturing Engineering. 2010 ; 43( 2): 743-749.[citado 2026 abr. 16 ] Available from: https://repositorio.usp.br/directbitstream/28acd301-9e92-4d86-8916-96e2c52d3b0b/Fleury-2010-Application%20of%20computer%20vision%20methods%20ok.pdf - Identification of CO2 and O2 emissions dynamics in a natural gas furnace through flame images, ARMAX models, and Kalman filtering
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