Aplicação do método Level Set para segmentação e classificação de padrões e medidas de escoamento bifásico gás-líquido

• Ano de defesa: 2011
• Autor(a) principal: Andrade, Mauren Louise Sguario Coelho de
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Tecnológica Federal do Paraná; Curitiba; Programa de Pós-Graduação em Engenharia Elétrica e Informática Industrial
• Palavras-chave em Português: Escoamento bifásico; Processamento de imagens; Imagens - interpretação; Two-phase flow; Image processing; Picture interpretation
• Link de acesso: http://repositorio.utfpr.edu.br/jspui/handle/1/199

The study of two-phase flows has important applications in an increasing numbers of areas, since reliable measurements of the flow characteristics are crucial for the accurate modeling of two-phase systems. In this context, image processing techniques have been extensively used, being relatively simple to design and implement while enabling the identification and visual evaluation of important features. This work proposes a methodology to measures flowing parameters based on the Level-Set method and on mathematical morphology transformations. Level Set methods have been largely considered, mainly due to its precision and capability to deal with topological changes and/or discontinuities that may arise during the interface evolution. Based on an accurate image segmentation (that is, on the region delimitation of each phase), we compute the parameters related to the phase distribution for the slug pattern. The comparison between the estimated parameters and that determined by a specialist comproves the good results of the proposed approach. This segmentation also enables the extraction of characteristics that can classify an image as belonging to a specific flow pattern. Classification tests considering four horizontal gas-liquid flow patterns also conduced to accurate measurements that encourage future works.