Foreign Body Detection in Yoghurt Using Electrical Impedance Tomography
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Abstract:
In this study, electrical impedance tomography was used to detect a foreign body in yoghurt. It was found that variations in the size of the foreign body, applied current, and current frequency showed corresponding changes in the reconstructed image. A 16-electrode data acquisition system was established to obtain image data using an adjacent excitation/measurement scheme. The Modified Newton-Raphson algorithm was applied to reconstruct the image data, binarization was performed for post-processing of the reconstructed images, and a quantitative analysis was performed by comparing the deviations of both the coordinates and area of the images with those of the actual foreign body. The results showed that this method could detect plastic foreign objects within yoghurt, but could not determine the location and shape of the foreign body accurately. In addition, this method was sensitive to the size of the foreign body, but only within a certain range. Optimum detection was possible within a detecting region diameter of 100 mm, under the following conditions: 25 mm size of the foreign body, 15 mA current, and 30 kHz current frequency. Although some details of the original reconstructed image might be lost with this processing method, the image obtained allowed for easier observation and convenience in comparison of imaging results under different conditions.
