Due to influence of environmental factors

measurement datas often contain noise. For this

Kalman filtering algorithm is applied in electrical capacitance tomography（ ECT） to reconstruct image

add noise signals of different degree in the normalized capacitance value

measured value filtering is carried out using statistical properties of noise

and obtain image gray value finally. Three flow patterns are selected for simulation experiments and compared with Landweber algorithm

and static experiment is carried out using ECT device. Simulation and experimental results show that the denoising effect of Kalman filtering is better than Landweber algorithm.