Encontrados 5 documentos, a visualizar página 1 de 1
Ferramenta de análise não destrutiva para obtenção de parâmetros microestrutura...
Victor Hugo C. de Albuquerque; João Manuel R. S.Tavares; Paulo Cesar Cortez; Pedro P. Rebouças FilhoEste trabalho apresenta novos parâmetros de medida calculados por um Sistema de Visão Computacional desenvolvido para a Classificação de Microestruturas em Materiais Metálicos. Este sistema é uma ferramenta de análise de imagens adequada para a área de Ciência dos Materiais, permitindo realizar automaticamente a segmentação e quantificação de microestruturas em materiais metálicos. Como evolução deste sistema,...
Quantification of the microstructures of hypoeutectic white cast iron using mat...
Victor Hugo C. de Albuquerque; João Manuel Ribeiro da Silva Tavares; Paulo César CortezThis paper describes an automatic system for segmentation and quantification of the microstructures of white cast iron. Mathematical morphology algorithms are used to segment the microstructures in the input images, which are later identified and quantified by an artificial neuronal network. A new computational system was developed because ordinary software could not segment the microstructures of this cast iro...
Measurement of welding dilution from images using active contours
Pedro Pedrosa Rebouças Filho; Tarique da Silveira Cavalcante; Victor Hugo Costa de Albuquerque; João Manuel R. S. Tavares; Paulo César CortezWelding dilution is the chemical composition modification of the weld metal, caused by the portion of base metal that suffers melting and starts to form the fusion zone. Its measure is given by the percentage of the base metal that takes part in the formation of the weld filet, and it varies according to the used welding process, type of join, pre-heat temperature, consumable, parameters of welding, among other...
Evaluation of multilayer perceptron and self-organizing map neural network topo...
Victor Hugo C. de Albuquerque; Auzuir Ripardo de Alexandria; Paulo César Cortez; João Manuel R. S. TavaresArtificial neuronal networks have been used intensively in many domains to accomplish different computational tasks. One of these tasks is the segmentation of objects in images, like to segment microstructures from metallographic images, and for that goal several network topologies were proposed. This paper presents a comparative analysis between multilayer perceptron and selforganizing map topologies applied t...
Comparative Analysis between two Automatic Systems for Lungs Segmentation and Q...
John Hebert da Silva Felix; Paulo César Cortez; João Manuel R. S. Tavares; Victor Hugo Costa de Albuquerque; Marcelo Alcântara HolandaComputed Tomography (CT) of the thorax is the most accurate imaging modality for the diagnosis of the majority of lung and chest diseases. However, there are still some limitations in diagnosing and, in particular, quantifying some lung diseases, such as the emphysema, from CT images. Automatic segmentation and quantification of lungs from images can be improved by adequate image processing and analysis techniq...
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