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Use of spectral pre-processing methods to compensate for the presence of packaging film in visible–near infrared hyperspectral images of food products
Ist Teil von
Journal of spectral imaging, 2010-11, Vol.1, p.a1
Ort / Verlag
IM Publications Open
Erscheinungsjahr
2010
Quelle
EZB Free E-Journals
Beschreibungen/Notizen
The presence of polymeric packaging film in images of food products may modify spectra obtained in
hyperspectral imaging (HSI) experiments, leading to undesirable image artefacts which may impede image classification.
Some pre-processing of the image is typically required to reduce the presence of such artefacts. The objective of this
research was to investigate the use of spectral pre-processing techniques to compensate for the presence of packaging
film in hyperspectral images obtained in the visible–near infrared wavelength range (445–945 nm), with application in food
quality assessment. A selection of commonly used pre-processing methods, used individually and in combination, were
applied to hyperspectral images of flat homogeneous samples, imaged in the presence and absence of different packaging
films (polyvinyl chloride and polyethylene terephthalate). Effects of the selected pre-treatments on variation due to the
film’s presence were examined in principal components score space. The results show that the combination of first
derivative Savitzky–Golay followed by standard normal variate transformation was useful in reducing variations in spectral
response caused by the presence of packaging film. Compared to other methods examined, this combination has the
benefits of being computationally fast and not requiring a priori knowledge about the sample or film used.