One step calibration of industrial hyperspectral cameras

Hyperspectral imaging is gaining interest as an inline reflective analytical technique. The raw data is often applied for classification or process adjustments. Proper calibration can eliminate the background, noise, and artefacts. Further, it enables determination of area fractions and, via spectra...

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Bibliographic Details
Main Authors: Henriksen, M.L (Author), Hinge, M. (Author), Klarskov, P. (Author), Pedersen, W.N (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2022
Subjects:
Online Access:View Fulltext in Publisher
LEADER 01611nam a2200217Ia 4500
001 10.1016-j.chemolab.2022.104609
008 220718s2022 CNT 000 0 und d
020 |a 01697439 (ISSN) 
245 1 0 |a One step calibration of industrial hyperspectral cameras 
260 0 |b Elsevier B.V.  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1016/j.chemolab.2022.104609 
520 3 |a Hyperspectral imaging is gaining interest as an inline reflective analytical technique. The raw data is often applied for classification or process adjustments. Proper calibration can eliminate the background, noise, and artefacts. Further, it enables determination of area fractions and, via spectral information, chemical analysis. This paper demonstrates a simple, robust, and easy-to-operate calibration device for inline calibration of hyperspectral cameras in the range from 450 ​nm to 1840 ​nm. The design is flexible, made from easy sourced materials, and can be adapted to most industrial setups. Calibration of intensity, spatial and spectral information is combined in one device and is done in a single pass. Device alignment and subsequent image analysis provides a fast and easy calibration routine for hyperspectral cameras. © 2022 The Authors 
650 0 4 |a Calibration method 
650 0 4 |a Hyperspectral imaging 
650 0 4 |a Mechanical design 
650 0 4 |a Signal processing 
700 1 |a Henriksen, M.L.  |e author 
700 1 |a Hinge, M.  |e author 
700 1 |a Klarskov, P.  |e author 
700 1 |a Pedersen, W.N.  |e author 
773 |t Chemometrics and Intelligent Laboratory Systems  |x 01697439 (ISSN)  |g 227