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Development of a hyperspectral imaging technique with internal scene scan for analysing the chemistry of food degradation
Author(s) -
Guo Chen,
Jung Y. Huang
Publication year - 2018
Publication title -
journal of spectral imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.256
H-Index - 6
ISSN - 2040-4565
DOI - 10.1255/jsi.2018.a12
Subject(s) - hyperspectral imaging , remote sensing , computer science , computer vision , chemical imaging , image resolution , artificial intelligence , environmental science , geography
Hyperspectral imaging (HSI) can provide valuable information about the spatial distribution of ingredients in anobject, therefore the technique has been widely adopted in numerous applications, ranging from remote sensing and landplanning, food quality control, to biomedical applications. However, HSI instruments are expensive, which has limited thetechnique to some high-end applications. In this study, we developed a cost-effective HSI technique with an internalscene-scan mechanism, which enables rapid acquisitions of a scene without moving the instrument or the tested object.The apparatus was characterised, revealing an imaging resolution of 0.4 mm in a field of view (FoV) of 10 cm and aspectral resolution of 1.3 nm in the 40–800 nm visible light region. We succeeded in applying our apparatus to analyse theoxidation processes of apple and meat, which demonstrated our design and relevant data analysis to be of high value tovisualise chemistry related to food quality and safety.

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