Quantification of the hipoeutectic withe cast iron microstructure from images using mathematical morphology and an artificial neural network

This work presents a comparative analysis between two automatic methods to segment and quantify the microstructure of white cast iron from images. The comparative methods are the SVRNA (Microstructure Segmentation by Computational Vision using Artificial Neural Networks), developed during this work,...

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Detalhes bibliográficos
Autor principal: Victor Hugo C. de Albuquerque (author)
Outros Autores: João Manuel R. S. Tavares (author), Paulo C. Cortez (author)
Formato: book
Idioma:por
Publicado em: 2008
Assuntos:
Texto completo:https://hdl.handle.net/10216/6635
País:Portugal
Oai:oai:repositorio-aberto.up.pt:10216/6635