V. Piuri, F. Scotti, Design of an automatic wood types classification system by using fluorescence spectra, IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, vol. 40, no. 3, pp. 358-366, May 2010, ISSN 1094-6977.
Industrial informatics
Wood Classification
The classification of wood types is needed in many industrial sectors, since it can provide relevant information concerning the features and characteristics of the final product (appearance, cost, mechanical properties, etc.). This analysis is typical in the furniture industries and the wood panel production. Usually, the analysis is performed by human experts, is not rapid, and has a non-uniform accuracy related mainly to the operator's experience and attention. We have studied a methodology to effectively cope with the design of an automatic wood types classification system based on the analysis of the fluorescence spectra suitable for real-time applications. We have researched two hardware setups, different feature sets, and classification techniques able to proper categorize wood panels.
Relevant publications
R. Donida Labati, V. Piuri, F. Scotti, A low-cost neural-based approach for wood types classification, Proc. of the 2009 IEEE Int. Conf. on Computational Intelligence for Measurement Systems and Applications (CIMSA 2009), pp. 199-203, Hong Kong, China, May 2009, ISSN 978-1-4244-3819-8.
P. Camorani, M. Badiali, D. Francomacaro, M. Gamassi, V. Piuri, F. Scotti, M. Zanasi, A classification method for wood types using fluorescence spectra, Proc. of the IEEE Instrumentation and Measurement Technology Conf. (IMTC 2008), pp. 1312-1315, Minneapolis, MN, USA, May 2008, ISSN 1091-5281.