Design and calibration of a two-camera (VNIR and SWIR) hyperspectral acquisition system for the characterization of metallic alloys from the recycling industry
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Hyperspectral; Image Processing; Recycling; Visible and near infrared; Short wave infrared; Smile effect; Machine learning; Calibration
Abstract :
[en] The conception of a prototype combining two hyperspectral cameras, one ranging from visible to near-infrared and the other covering short-wave infrared, is presented. The prototype aims at the characterization of millimeter-sized metallic alloys particles, originating from end-of-life vehicles and waste electrical and electronic equipment recycling. This paper is meant to serve as a support for a similar project by presenting difficulties encountered and available solutions. The calibration steps necessary to obtain quality reflectance data are also described. Classification results obtained on 100 metallic fragments dataset are finally presented.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Barnabé, Pierre ; Université de Liège > Département ArGEnCo > Géoressources minérales & Imagerie géologique
Dislaire, Godefroid ; Université de Liège > Département ArGEnCo > Géoressources minérales & Imagerie géologique
Leroy, Sophie ; Université de Liège > Département ArGEnCo > Géoressources minérales & Imagerie géologique
Pirard, Eric ; Université de Liège > Département ArGEnCo > Géoressources minérales & Imagerie géologique
Language :
English
Title :
Design and calibration of a two-camera (VNIR and SWIR) hyperspectral acquisition system for the characterization of metallic alloys from the recycling industry
Alternative titles :
[fr] Conception et calibration d'un système d'acquisition hyperspectrale bi-cameras (VNIR et SWIR) pour la caractérisation d'alliages métalliques de l'industrie du recyclage
Publication date :
18 November 2015
Journal title :
Journal of Electronic Imaging
ISSN :
1017-9909
eISSN :
1560-229X
Publisher :
International Society of Optical Engineering
Special issue title :
Special Section On Quality Control By Artificial Vision: Nonconventional Imaging Systems
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