CUED Publications database

Defects detection and characterization by using cellular neural networks

Occhipinti, L and Spoto, G and Branciforte, M and Doddo, F (2001) Defects detection and characterization by using cellular neural networks. In: UNSPECIFIED pp. 481-484..

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Abstract

In this document, a new method to detect and to characterize surface defects in mechanical parts is reported. Cellular neural networks are used as tools for the implementation of the stereoscopic vision analysis technique. Suitable applications in microscopic defect analysis (real-time processing), in various fields (e.g. aeronautics applications) are introduced, by means of the reported examples in order to validate the cellular neural networks (CNN) approach. © 2001 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: UNSPECIFIED
Divisions: UNSPECIFIED
Depositing User: Cron Job
Date Deposited: 01 Feb 2019 20:34
Last Modified: 07 Mar 2019 12:50
DOI: 10.1109/ISCAS.2001.921352