Nonlinear Image Reconstruction Using a GA-ECT Technique in Electrical Capacitance Tomography

Abstract

Electrical capacitance tomography (ECT) is a non-invasive measurement technique that estimates the dielectric permittivity distribution of an inhomogeneous object from the boundary potentials at floating electrodes [1, 2]/or mutual capacitances. In this paper, a stochastic inverse technique based on genetic algorithm (GA-ECT) is developed, which is adapted to the two different methods, i.e. potential measurement and capacitance measurement. Numerical simulation results are presented to evaluate the inverse technique both for noise free and noisy data and the results show that quantitative image can be reconstructed not only with the low permittivity contrast but also with the high contrast. Furthermore, the influence of a priori knowledge to image reconstruction is discussed.Evaluation of the fitness according to object function © © © Crossover operation :P'(t)^crossover[P(t)] Mutation operation P"(t)^mutation[P'(t)]Similar to 3,4., evaluating the fitness of P"(t)