YU fin-ping, CHEN De-yun, WANG Li-li. A Novel Image Reconstruction Algorithm Based on Improved Taboo Search for Electrical Capacitance Tomography[J]. 2016, 21(1): 51-56.
YU fin-ping, CHEN De-yun, WANG Li-li. A Novel Image Reconstruction Algorithm Based on Improved Taboo Search for Electrical Capacitance Tomography[J]. 2016, 21(1): 51-56.DOI: 10.15938/j.jhust.2016.01.011.
For the 'soft field' effect and ill-posed problems in ECT system
we presented a capacitance tomo- graphy image reconstruction algorithm based on tabu search on the basis of analyzing the principle of capacitance tomography and imaging algorithm. The method was applying tabu search algorithm to image reconstruction by constructing the objective function and setting neighborhood and tabu table to restrain image reconstruction. Then by using aspiration criterion and ad hoc criteria
converted the image reconstruction problem into a problem of finding the global optimal solution
and jumped out of the tabu search according to the termination criterion. Through MAT- LAB simulation experiments
verified the reconstructed images obtained by this algorithm was more similar to the prototype and had smaller error than LBP algorithm. Therefore
this algorithm could obtain images with higher fidelity
which provided a new direction for ECT image reconstruction.