Application of particle filtering algorithm in image reconstruction of EMT

作者：Wang Jingwen^*; Wang Xu

来源：Measurement Science and Technology, 2015, 26(7): 075303.

DOI：10.1088/0957-0233/26/7/075303

• electromagnetic tomography (EMT)
• particle filter
• image reconstruction
• LBP
• Landweber
• Kalman Filter

To improve the image quality of electromagnetic tomography (EMT), a new image reconstruction method of EMT based on a particle filtering algorithm is presented. Firstly, the principle of image reconstruction of EMT is analyzed. Then the search process for the optimal solution for image reconstruction of EMT is described as a system state estimation process, and the state space model is established. Secondly, to obtain the minimum variance estimation of image reconstruction, the optimal weights of random samples obtained from the state space are calculated from the measured information. Finally, simulation experiments with five different flow regimes are performed. The experimental results have shown that the average image error of reconstruction results obtained by the method mentioned in this paper is 42.61%, and the average correlation coefficient with the original image is 0.8706, which are much better than corresponding indicators obtained by LBP, Landweber and Kalman Filter algorithms. So, this EMT image reconstruction method has high efficiency and accuracy, and provides a new method and means for EMT research.

• 出版日期2015-7
• 单位东北大学