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Proceedings Paper

High-resolution real-time x-ray and 3D imaging for physical contamination detection in deboned poultry meat
Author(s): Xin Chen; Hansong Jing; Yang Tao; Xuemei Cheng
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Paper Abstract

This paper describes a novel approach for detection of foreign materials in deboned poultry patties based on real-time imaging technologies. Uneven thickness of poultry patties could lead to a significant classification error in a typical X-ray imaging system, and we addressed this issue successfully by fusing laser range imaging (3D imaging) into the x-ray inspection system. In order for this synergic technology to work effectively for on-line industrial applications, the vision system should be able to identify various physical contaminations automatically and have viable real-time capabilities. To meet these challenges, a rule-based approach was formulated under a unified framework for detection of diversified subjects, and a multithread scheme was developed for real-time image processing. Algorithms of data fusion, feature extraction and pattern classification of this approach are described in this paper. Detection performance and overall throughput of the system are also discussed.

Paper Details

Date Published: 30 March 2004
PDF: 10 pages
Proc. SPIE 5271, Monitoring Food Safety, Agriculture, and Plant Health, (30 March 2004); doi: 10.1117/12.518765
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. 5271:
Monitoring Food Safety, Agriculture, and Plant Health
George E. Meyer; Yud-Ren Chen; Shu-I Tu; Bent S. Bennedsen; Andre G. Senecal, Editor(s)

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