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ARS Home » Pacific West Area » Albany, California » Western Regional Research Center » Foodborne Toxin Detection and Prevention Research » Research » Publications at this Location » Publication #133784


item Haff, Ronald - Ron

Submitted to: ASAE Annual International Meeting
Publication Type: Proceedings
Publication Acceptance Date: 4/26/2002
Publication Date: 7/31/2002
Citation: Haff, R.P., Slaughter, D.C. 2002. X-ray inspection of wheat for granary weevils real-time digital imaging vs film. ASAE Annual International Meeting.ASAE Paper #02-6093.

Interpretive Summary: An x-ray inspection system was assembled with the specific goal of screening small agricultural commodities for quality control sampling such as wheat, for defects such as insect damage, as a possible replacement for film. This system produces digital x-ray images which can be displayed on a computer screen, as opposed to film which is generally observed on a light table. A total of 1672 kernels of wheat, 773 infested with granary weevils, were imaged on both film and using the new x-ray system. The images were then presented to human operators one kernel at a time to test how well they could identify the infestations. Recognition rates were better for the film images than the digital images. The total error for the film was 3.0% vs 11.7% for the digital images. In both cases, the bulk of the errors were for infestations in which the weevil was in an early stage of development. In cases where the weevil was more developed, both methods resulted in nearly perfect detection. The lower recognition rates for the x-ray system are due to lower resolution and higher noise in the digital images than in the film. Further research is needed to improve the detectors of the new x-ray system.

Technical Abstract: A high resolution x-ray imaging system was assembled using a low energy high current x-ray source, a low energy x-ray image intensifier, and a CCD camera interfaced to a PC. Overall system resolution was measured at 5 line pairs per millimeter, sufficient for identifying weevil infestations in kernels of wheat. A total of 1672 wheat kernels were imaged, both on film and with the system described above. Of the imaged kernels, 773 revealed infestations ranging from the egg to the adult life stage of the granary weevil, and 899 were non-infested. The film and the digital images were presented to human subjects to compare recognition of the infested kernels. Overall recognition error rates were 11.7% for the images from the intensifier system vs. only 3.0% for the film observations. However, when considering only infestations more advanced than the third larval instar, error rates for both methods fell below 1%.