| Evaluation of the performance of some image reconstruction algorithms in electrical capacitance tomography (ECT) in order to determine the online distribution of wheat passing through the pipe section |
| Paper ID : 1442-NICAME1402 |
| Authors: |
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حسین موسی زاده1, نازیلا طربی *2, جلیل تقی زاده طامه3 1دانشکدگان کشاورزی و منابع طبیعی دانشگاه تهران 2University of Tehran 3دانشگاه تهران |
| Abstract: |
| In agriculture and food industry, determining mass flow rate of granular materials such plays an important role in controlling and monitoring the processes (such as discharging materials from the silo and to prepare map of crop yield in field, when the combine harvests the product). Conventional methods for determining the mass flow rate have mainly one of the limitations of being invasive, lack of response in high material densities, not being online and not covering the entire pipe section, high cost and low accuracy. In this research, electrical capacitance tomography was used to determine the distribution of granular materials such as wheat in the cross section of the pipe. In this method, by measuring electrical capacitance and permeability, the distribution of wheat in the pipe section is determined. The most influential factor in the quality of ECT is the image reconstruction algorithm. In this research, the performance of five image reconstruction algorithms of LBP, Tikhonov, SVD, ART and SIRT were compared in different patterns of wheat distribution. The results showed that the Tikhonov algorithm has a better performance in the other cases, except for the condition that the wheat is not in the middle of the pipe section and also in the condition that it is completely full of wheat. So that the mean square error values for the Tikhonov reconstruction algorithm are in the range of 0.04 to 0.01. Also, the SVD algorithm has a better performance for the condition that the middle of the pipe section is empty. |
| Keywords: |
| Electrical tomography, Capacitance, Image reconstruction algorithm, Grains |
| Status : Paper Accepted (Poster Presentation) |
