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Proceedings Paper

Pattern classification for boneless poultry inspection using combined X-ray/laser 3D imaging
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Paper 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.

Paper Details

Date Published: 9 November 2005
PDF: 8 pages
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
Show Author Affiliations
Xin Chen, Univ. of Maryland, College Park (United States)
Hansong Jing, Univ. of Maryland, College Park (United States)
Yang Tao, Univ. of Maryland, College Park (United States)
Xuemei Cheng, Univ. of Maryland, College Park (United States)


Published in SPIE Proceedings Vol. 5996:
Optical Sensors and Sensing Systems for Natural Resources and Food Safety and Quality
Yud-Ren Chen; George E. Meyer; Shu-I Tu, Editor(s)

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