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Analysis of factors influencing the mapping accuracy of x-ray and laser range images in a bone fragment Detection System

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

Citation:  Paper number  036191,  2003 ASAE Annual Meeting . (doi: 10.13031/2013.15422)
Keywords:   Mapping, noisy data, x-ray, laser range data

In a bone fragment inspection system currently being developed, two different data streams are utilized. The first is acquired through x-ray detection and the second through laser imaging. The three-dimensional data from the laser imaging system is mapped to the x-ray data stream and both are then integrated to detect bone fragment or foreign inclusions in boneless chicken meat. In the time critical mapping process, the unified mapping coefficient is an extremely important component. The factors influencing mapping coefficients are; 1) noise generated by the imaging device, 2) variation in poultry meat density and texture, 3) poultry body location and species, and 4) surface moisture content. These factors are interrelated, making it difficult to obtain the unified mapping parameters. In this paper, proposed noise models are discussed and analyzed. Main factors are selected and the method optimized to obtain the mapping coefficient. The proposed method produces acceptable and stable results when verified with sample data.

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