Fast Intelligent Image Reconstruction Algorithm for ECT Systems

Electrical Capacitance Tomography (ECT) has more attention in the last few decades due to its importance in many industrial and medical processes. Research has various directions in this field such how reconstruct accurate images of the object under consideration, hardware implantation of both the recognition system and/or the image viewing devices. In this paper, a novel single-stage intelligent approach is designed for reconstructing images that describe the materials distribution of the multi-phase flow in industrial pipelines. The proposed algorithm utilizes Fuzzy Inference System (FIS) to overcome the nonlinear response of the ECT system. The proposed algorithm is fast since it does not need solving the forward problem to update the sensitivity matrix. The reported results show that the proposed FIS image reconstruction algorithm has high accuracy and promising technique.