Detecting gallbladders in chicken livers using spectral analysis

نویسندگان

  • Anders Jørgensen
  • Eigil Mølvig Jensen
  • Thomas B. Moeslund
چکیده

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%.

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تاریخ انتشار 2015