Use of spectral pre-processing methods to compensate for the presence of packaging film in visible–near infrared hyperspectral images of food products

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 s...

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Main Authors: A.A. Gowen, G. Downey, C. Esquerre, C.P. O'Donnell
Format: Article
Language:English
Published: IM Publications Open 2010-10-01
Series:Journal of Spectral Imaging
Subjects:
Online Access:https://www.impublications.com/download.php?code=I01_a1
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author A.A. Gowen
G. Downey
C. Esquerre
C.P. O'Donnell
author_facet A.A. Gowen
G. Downey
C. Esquerre
C.P. O'Donnell
author_sort A.A. Gowen
collection DOAJ
description 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.
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spelling doaj.art-445444ceb20c4c97aa3d7a1b4f519eac2022-12-22T03:08:30ZengIM Publications OpenJournal of Spectral Imaging2040-45652040-45652010-10-011a110.1255/jsi.2010.a1Use of spectral pre-processing methods to compensate for the presence of packaging film in visible–near infrared hyperspectral images of food productsA.A. Gowen0G. Downey1C. Esquerre2C.P. O'Donnell3Biosystems Engineering, School of Agriculture, Food Science and Veterinary Medicine, University College Dublin, Belfield, Dublin 4, IrelandBiosystems Engineering, School of Agriculture, Food Science and Veterinary Medicine, University College Dublin, Belfield, Dublin 4, IrelandBiosystems Engineering, School of Agriculture, Food Science and Veterinary Medicine, University College Dublin, Belfield, Dublin 4, IrelandBiosystems Engineering, School of Agriculture, Food Science and Veterinary Medicine, University College Dublin, Belfield, Dublin 4, IrelandThe 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.https://www.impublications.com/download.php?code=I01_a1hyperspectralimagingpre-processingpackagingfilmpolymerfoodtest
spellingShingle A.A. Gowen
G. Downey
C. Esquerre
C.P. O'Donnell
Use of spectral pre-processing methods to compensate for the presence of packaging film in visible–near infrared hyperspectral images of food products
Journal of Spectral Imaging
hyperspectral
imaging
pre-processing
packaging
film
polymer
food
test
title Use of spectral pre-processing methods to compensate for the presence of packaging film in visible–near infrared hyperspectral images of food products
title_full Use of spectral pre-processing methods to compensate for the presence of packaging film in visible–near infrared hyperspectral images of food products
title_fullStr Use of spectral pre-processing methods to compensate for the presence of packaging film in visible–near infrared hyperspectral images of food products
title_full_unstemmed Use of spectral pre-processing methods to compensate for the presence of packaging film in visible–near infrared hyperspectral images of food products
title_short Use of spectral pre-processing methods to compensate for the presence of packaging film in visible–near infrared hyperspectral images of food products
title_sort use of spectral pre processing methods to compensate for the presence of packaging film in visible near infrared hyperspectral images of food products
topic hyperspectral
imaging
pre-processing
packaging
film
polymer
food
test
url https://www.impublications.com/download.php?code=I01_a1
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AT cesquerre useofspectralpreprocessingmethodstocompensateforthepresenceofpackagingfilminvisiblenearinfraredhyperspectralimagesoffoodproducts
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