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Author(s): Victor Hugo C. de Albuquerque
Paulo C. Cortez
Auzuir R. de Alexandria
João Manuel R. S. Tavares
Title: A New Solution for Automatic Microstructures Analysis from Images Based on a Backpropagation Artificial Neural Network
Issue Date: 2008
Abstract: This article presents a new solution to segment and quantify the microstructures from images of nodular, grey, and malleable cast irons, based on an artificial neural network. The neural network topology used is the multilayer perception, and the algorithm chosen for its training was the backpropagation. This solution was applied to 60 samples of cast iron images and results were very similar to the ones obtained by visual human tests. This was better than the information obtained from a commercial system that is very popular in this area. In fact, this solution segmented the images of microstructures materials more efficiently. Thus, we can conclude that it is a valid and adequate option for researchers, engineers, specialists, and professionals from materials science field to realise a microstructure analysis from images faster and automatically.
Subject: Engenharia
Document Type: Artigo em Revista Científica Internacional
Rights: restrictedAccess
Appears in Collections:FEUP - Artigo em Revista Científica Internacional

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