Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/95126
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 Engineering |
URI: | https://repositorio-aberto.up.pt/handle/10216/95126 |
Document Type: | Artigo em Revista Científica Internacional |
Rights: | restrictedAccess |
Appears in Collections: | FEUP - Artigo em Revista Científica Internacional |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
57686.pdf Restricted Access | 895.25 kB | Adobe PDF | Request a copy from the Author(s) |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.