To solve the ‘soft-field’nature and the ill-posed problem in electrical capacitance tomography technology，a Huang clan correction image reconstruction algorithm for electrical capacitance tomography is presented. Firstly，according to the basic principles of the Electrical Capacitance Tomography system，the formula of Huang clan correction in the problem of capacitance tomography is derived. Secondly，the iterative formula for simulation experiment is given after the correction. Finally，the validity of the proposed method is verified by digital simulation. The simulation experiment results show that the error of the image for extremely low layer flow，low layer flow and core flow dropped to 24. 39% ，25. 81% and 40. 91% respectively. Ｒesults were lower than Linear Back Projection method，Landweber method，Steepest Descent method and Conjugate Gradient method. In addition，the number of iterations were maintained at 12，12 and 27times，also less than the Landweber method and the Steepest Descent method. The results of the analysis show that the effect of the Huang Clan Correction Image Ｒeconstruction Algorithm are good

A modified implicit type Landweber image reconstruction algorithm is presented for solving the'soft-field'nature and the ill-posed problem in Electrical Capacitance Tomography (ECT) technology.On analysis of the basic principles of the ECT system,the paper proposes a formula of the modified implicit type Landweber algorithm to solve the problem of electrical capacitance tomography,and finishes the iterative modification,and analyzes the convergence of the algorithm.Simulation experimental results show that compared with Landweber,LBP methods,both precision and speed of the modified implicit formula Landweber method are very good,and it is simple and stabilized.