Research on ECT Image Reconstruction Based on Simulated Annealing Particle Swarm Optimization Algorithm
The ill-posed inverse-problem of ECT( Electrical Capacitance Tomography) has exposed the result of classic reconstruction al-gorithms to the risks of serious artifacts. As one of the intelligence algorithms,PSO( Particles Swarm Optimization) is effortless to imple-ment and fast to converge,however,it may lead to local optimum. Both the Simulated Annealing algorithm( Simulated Annealing algo-rithm,SA) and PSO are taken into account to resolve this drawback. SA has probability mutation ability so that the result can probably get rid of the limitation of local optimum. To verify the effectiveness of the proposed algorithm,five different flow patterns are set as re-construction targets in which The LBP algorithm,Tikhonov algorithm,Landweber algorithm and standard PSO are compared groups. As a result,the experiment shows that the proposed algorithm plays a significant role in cutting down the artifact,upgrading the quality of re-constructed images and helping to approach to the original flow pattern.
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