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Real-Time Detection of Physical Hazards in De-Bonded Poultry Using High-Resolution X-Ray Imaging

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Paper number  033084,  2003 ASAE Annual Meeting . (doi: 10.13031/2013.15004) @2003
Authors:   Xin Chen, Hansong Jing, Yang Tao, L. Carr, F. Wheaton
Keywords:   X-ray imaging, bone fragment detection, multithread scheme, rule-based system, pattern recognition, machine vision, real-time system

Thickness variation of chicken fillet is a major challenge to X-ray detection of embedded bone fragments. As a novel solution, combined x-ray and laser range imaging has been developed for thickness compensation effectively. In order for this synergic technology to work successfully for on-line industrial applications, the vision system should have viable real-time capabilities and be able to detect a variety of physical hazards. In this paper, a multithread scheme is developed for real-time image processing, implementation and performance of which are also presented. A rule-based approach is formulated under a unified framework for detection of diversified subjects, and performance of this framework is also discussed.

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