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Author(s): Victor H. C. Albuquerque
João P. Papa
Alexandre X. Falcão
Pedro P. R. Filho
João Manuel Ribeiro da Silva Tavares
Title: Application of optimum-path forest classifier for synthetic material porosity segmentation
Issue Date: 2010
Abstract: This paper presents a new application and evaluation of the Optimum-Path Forest (OPF) classifier to accomplish synthetic material porosity segmentation and quantification obtained from optical microscopic images. Sample images of a synthetic material were analyzed and the quality of the results was confirmed by human visual analysis. Additionally, the OPF results were compared against two different Support Vector Machines approaches, confirming the OPF superior fast and reliable qualities for this analysis purpose. Thus, the Optimum-Path Forest classier demonstrated to be a valid and adequate tool for microstructure characterization through porosity segmentation and quantification using microscopic images, manly due its fast, efficient and reliable manner.
Subject: Processamento de imagem, Engenharia mecânica
Image processing, Mechanical engineering
Scientific areas: Ciências da engenharia e tecnologias::Engenharia mecânica
Engineering and technology::Mechanical engineering
Source: IWSSIP'10 - 17th International Conference on Systems, Signals and Image Processing
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: openAccess
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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