@conference{10902/2387,
year = {2008},
month = {3},
url = {http://hdl.handle.net/10902/2387},
abstract = {A non-intrusive infrared sensor for the detection of spurious elements in an industrial raw material chain has been developed. The system is an extension to the whole near infrared range of the spectrum of a previously designed system based on the Vis-NIR range (400 - 1000 nm). It incorporates a hyperspectral imaging spectrograph able to register simultaneously the NIR reflected spectrum of the material under study along all the points of an image line. The working material has been different tobacco leaf blends mixed with typical spurious elements of this field such as plastics, cardboards, etc. Spurious elements are discriminated automatically by an artificial neural network able to perform the classification with a high degree of accuracy. Due to the high amount of information involved in the process, Principal Component Analysis is first applied to perform data redundancy removal. By means of the extension to the whole NIR range of the spectrum, from 1000 to 2400 nm, the characterization of the material under test is highly improved. The developed technique could be applied to the classification and discrimination of other materials, and, as a consequence of its non-contact operation it is particularly suitable for food quality control.},
organization = {This work has been co-supported by the Science and Technology Ministry of the Spanish Government through the
TEC’2005-08218-C02-02 and TEC’2007-67987-C02-01 projects. The authors also thank Infaimon Company and its staff, especially C. López and C. Carreté, for their valuable help during the arrangement of the measurement set-up.},
publisher = {SPIE Society of Photo-Optical Instrumentation Engineers},
publisher = {Proceedings of SPIE, 2008, vol. 6939, 69390H},
publisher = {Thermosense XXX, Orlando (FL), 2008},
title = {Industrial defect discrimination applying infrared imaging spectroscopy and artificial neural networks},
author = {García Allende, Pilar Beatriz and Conde Portilla, Olga María and Madruga Saavedra, Francisco Javier and Cubillas de Cos, Ana María and López Higuera, José Miguel},
}