Detecting gallbladders in chicken livers using spectral analysis

Anders Jørgensen, Eigil Mølvig Jensen, Thomas B. Moeslund

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Resumé

This paper presents a method for detecting gallbladders attached to chicken livers using spectral imaging. Gallbladders can contaminate good livers, making them unfit for human consumption. A data set consisting of chicken livers with and without gallbladders, has been captured using 33 wavelengths within the visible spectrum. This work shows how to reduce the high number of wavelengths while maintaining a high accuracy. A classification tree has be trained to evaluate if a gallbladder is present and whether it is suitable for automatic removal, which could increase profits for the processing plants. As a preliminary study this shows good results with a classification accuracy of 91.7%.
OriginalsprogEngelsk
TitelProceedings of the Machine Vision of Animals and their Behaviour (MVAB)
RedaktørerT. Amaral, S. Matthews, T. Plötz, S. McKenna, R. Fisher
Antal sider8
ForlagBritish Machine Vision Association
Publikationsdato10 sep. 2015
DOI
StatusUdgivet - 10 sep. 2015
BegivenhedBritish Machine Vision Conference 2015: Machine Vision of Animals and their Behaviour - Swansea University, Swansea, Storbritannien
Varighed: 7 sep. 201510 sep. 2015
Konferencens nummer: 26

Konference

KonferenceBritish Machine Vision Conference 2015
Nummer26
LokationSwansea University
LandStorbritannien
BySwansea
Periode07/09/201510/09/2015

Fingerprint

Liver
Spectrum analysis
Wavelength
Profitability
Imaging techniques
Processing

Citer dette

Jørgensen, A., Mølvig Jensen, E., & Moeslund, T. B. (2015). Detecting gallbladders in chicken livers using spectral analysis. I T. Amaral, S. Matthews, T. Plötz, S. McKenna, & R. Fisher (red.), Proceedings of the Machine Vision of Animals and their Behaviour (MVAB) British Machine Vision Association. https://doi.org/10.5244/C.29.MVAB.2
Jørgensen, Anders ; Mølvig Jensen, Eigil ; Moeslund, Thomas B. / Detecting gallbladders in chicken livers using spectral analysis. Proceedings of the Machine Vision of Animals and their Behaviour (MVAB). red. / T. Amaral ; S. Matthews ; T. Plötz ; S. McKenna ; R. Fisher. British Machine Vision Association, 2015.
@inproceedings{8bf3907b75e34883920949d1f24d1311,
title = "Detecting gallbladders in chicken livers using spectral analysis",
abstract = "This paper presents a method for detecting gallbladders attached to chicken livers using spectral imaging. Gallbladders can contaminate good livers, making them unfit for human consumption. A data set consisting of chicken livers with and without gallbladders, has been captured using 33 wavelengths within the visible spectrum. This work shows how to reduce the high number of wavelengths while maintaining a high accuracy. A classification tree has be trained to evaluate if a gallbladder is present and whether it is suitable for automatic removal, which could increase profits for the processing plants. As a preliminary study this shows good results with a classification accuracy of 91.7{\%}.",
keywords = "Chicken, Poultry, Gall, Spectral, hyperspectral imaging, image analysis",
author = "Anders J{\o}rgensen and {M{\o}lvig Jensen}, Eigil and Moeslund, {Thomas B.}",
year = "2015",
month = "9",
day = "10",
doi = "10.5244/C.29.MVAB.2",
language = "English",
editor = "T. Amaral and S. Matthews and T. Pl{\"o}tz and S. McKenna and R. Fisher",
booktitle = "Proceedings of the Machine Vision of Animals and their Behaviour (MVAB)",
publisher = "British Machine Vision Association",

}

Jørgensen, A, Mølvig Jensen, E & Moeslund, TB 2015, Detecting gallbladders in chicken livers using spectral analysis. i T Amaral, S Matthews, T Plötz, S McKenna & R Fisher (red), Proceedings of the Machine Vision of Animals and their Behaviour (MVAB). British Machine Vision Association, Swansea, Storbritannien, 07/09/2015. https://doi.org/10.5244/C.29.MVAB.2

Detecting gallbladders in chicken livers using spectral analysis. / Jørgensen, Anders; Mølvig Jensen, Eigil; Moeslund, Thomas B.

Proceedings of the Machine Vision of Animals and their Behaviour (MVAB). red. / T. Amaral; S. Matthews; T. Plötz; S. McKenna; R. Fisher. British Machine Vision Association, 2015.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

T1 - Detecting gallbladders in chicken livers using spectral analysis

AU - Jørgensen, Anders

AU - Mølvig Jensen, Eigil

AU - Moeslund, Thomas B.

PY - 2015/9/10

Y1 - 2015/9/10

N2 - This paper presents a method for detecting gallbladders attached to chicken livers using spectral imaging. Gallbladders can contaminate good livers, making them unfit for human consumption. A data set consisting of chicken livers with and without gallbladders, has been captured using 33 wavelengths within the visible spectrum. This work shows how to reduce the high number of wavelengths while maintaining a high accuracy. A classification tree has be trained to evaluate if a gallbladder is present and whether it is suitable for automatic removal, which could increase profits for the processing plants. As a preliminary study this shows good results with a classification accuracy of 91.7%.

AB - This paper presents a method for detecting gallbladders attached to chicken livers using spectral imaging. Gallbladders can contaminate good livers, making them unfit for human consumption. A data set consisting of chicken livers with and without gallbladders, has been captured using 33 wavelengths within the visible spectrum. This work shows how to reduce the high number of wavelengths while maintaining a high accuracy. A classification tree has be trained to evaluate if a gallbladder is present and whether it is suitable for automatic removal, which could increase profits for the processing plants. As a preliminary study this shows good results with a classification accuracy of 91.7%.

KW - Chicken

KW - Poultry

KW - Gall

KW - Spectral

KW - hyperspectral imaging

KW - image analysis

U2 - 10.5244/C.29.MVAB.2

DO - 10.5244/C.29.MVAB.2

M3 - Article in proceeding

BT - Proceedings of the Machine Vision of Animals and their Behaviour (MVAB)

A2 - Amaral, T.

A2 - Matthews, S.

A2 - Plötz, T.

A2 - McKenna, S.

A2 - Fisher, R.

PB - British Machine Vision Association

ER -

Jørgensen A, Mølvig Jensen E, Moeslund TB. Detecting gallbladders in chicken livers using spectral analysis. I Amaral T, Matthews S, Plötz T, McKenna S, Fisher R, red., Proceedings of the Machine Vision of Animals and their Behaviour (MVAB). British Machine Vision Association. 2015 https://doi.org/10.5244/C.29.MVAB.2