Detecting Gallbladders in Chicken Livers using Spectral Imaging

Anders Jørgensen, Eigil Mølvig Jensen and Thomas B. Moeslund

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 %.

Session

Workshop: Machine Vision of Animals and their Behaviour (MVAB 2015)

Files

PDF iconPaper (PDF, 2M)

DOI

10.5244/C.29.MVAB.2
https://dx.doi.org/10.5244/C.29.MVAB.2

Citation

Anders Jørgensen, Eigil Mølvig Jensen and Thomas B. Moeslund. Detecting Gallbladders in Chicken Livers using Spectral Imaging. In T. Amaral, S. Matthews, T. Plötz, S. McKenna, and R. Fisher, editors, Proceedings of the Machine Vision of Animals and their Behaviour (MVAB), pages 2.1-2.8. BMVA Press, September 2015.

Bibtex

@inproceedings{MVAB2015_2,
	title={Detecting Gallbladders in Chicken Livers using Spectral Imaging},
	author={Anders Jørgensen and Eigil Mølvig Jensen and Thomas B. Moeslund},
	year={2015},
	month={September},
	pages={2.1-2.8},
	articleno={2},
	numpages={8},
	booktitle={Proceedings of the Machine Vision of Animals and their Behaviour (MVAB)},
	publisher={BMVA Press},
	editor={T. Amaral, S. Matthews, T. Plötz, S. McKenna, and R. Fisher},
	doi={10.5244/C.29.MVAB.2},
	isbn={1-901725-57-X},
	url={https://dx.doi.org/10.5244/C.29.MVAB.2}
}