Multispectral system for recovering near-infrared reflectance spectra

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Título: Multispectral system for recovering near-infrared reflectance spectra
Autor/es: Arjona Carbonell, Montserrat | Vilaseca Ricart, Meritxell | Pujol Ramo, Jaume | Martínez-Verdú, Francisco M.
Grupo/s de investigación o GITE: Visión y Color
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Óptica, Farmacología y Anatomía
Palabras clave: Multispectral system | Near-infrared region | Reflectance spectra | CCD camera
Área/s de conocimiento: Óptica
Fecha de publicación: 2004
Editor: Society for Imaging Science and Technology
Cita bibliográfica: ARJONA CARBONELL, Montserrat, et al. "Multispectral system for recovering near-infrared reflectance spectra". En: Final programme and proceedings of CGIV 2004, Second European Conference on Color in Graphics, Imaging, and Vision and Sixth International Symposium on Multispectral Color Science : April 5 - 8, 2004, Technology Center AGIT, Aachen, Germany / sponsored by the Society for Imaging Science and Technology. Springfield, VA : The Society for Imaging Science and Technology, 2004. ISBN 0-89208-250-X, pp. 409-413
Resumen: In this paper, we analyze an experimental system for recovering the reflectance spectra of samples in the near-infrared region of the spectrum (NIR, 800- 1000 nm). Recently, CCD cameras with improved response in the NIR have been manufactured. It is therefore possible to use this standard instrumentation to obtain information on samples in this region. The setup used in this work consisted of a conventional multispectral system of five acquisition channels with spectral bands that were equi-spaced in the NIR region. An automated objective lens was used to control the exposure over the CCD. By using different F- number exposure series, we obtained sets of camera responses corresponding to a group of reference samples and analyzed the dependence of the digital output levels on the lens aperture. The reconstructions obtained for a set of textile samples show that Wiener estimation and principal component analysis provide the best results. These mathematical methods provide percentages of reconstruction close to 99.8% and RMSE values close to 0.025.
Patrocinador/es: This research was supported by the Ministerio de Ciencia y Tecnología (Spain) under grant DPI2002-00118.
URI: http://hdl.handle.net/10045/980
ISBN: 0-89208-250-X
Idioma: eng
Tipo: info:eu-repo/semantics/bookPart
Revisión científica: si
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