9 November 2005 Pattern classification for boneless poultry inspection using combined X-ray/laser 3D imaging
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Proceedings Volume 5996, Optical Sensors and Sensing Systems for Natural Resources and Food Safety and Quality; 59960T (2005); doi: 10.1117/12.630950
Event: Optics East 2005, 2005, Boston, MA, United States
Abstract
A combined X-ray/laser 3D imaging technology has been developed for bone fragment and foreign material detection in boneless poultry products. In this paper, various methods of pattern classification including neural network and statistical approaches are applied to the poultry images obtained by the combined imaging system, and the classification performances are compared and analyzed.
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Xin Chen, Hansong Jing, Yang Tao, Xuemei Cheng, "Pattern classification for boneless poultry inspection using combined X-ray/laser 3D imaging", Proc. SPIE 5996, Optical Sensors and Sensing Systems for Natural Resources and Food Safety and Quality, 59960T (9 November 2005); doi: 10.1117/12.630950; https://doi.org/10.1117/12.630950
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KEYWORDS
Image segmentation

Image classification

Neural networks

X-ray imaging

X-rays

Inspection

Imaging systems

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