Reference Field Reconstruction in Absolute Electrical Impedance Tomography Based on Fuzzy Inverse Membership Function

Electrical Impedance Tomography (EIT) is an advanced visualization technique, where the reference field plays a key role in image accuracy. However, an effective method for reconstructing the reference field in absolute EIT is currently lacking. To address this, we propose an innovative approach based on the Fuzzy Inverse Membership Function (FIMF) to reconstruct the reference field. By extracting and analyzing the nonlinear features, multiple FIMFs are determined. These FIMFs are then optimized using an objective function to generate a corrected reference field, effectively improving adaptability and imaging quality in dynamic, non-uniform EIT conditions. Experimental results demonstrate the superior performance of the proposed method in terms of both imaging quality and stability, compared to existing ones. This study presents a novel strategy for enhancing the practical performance of EIT imaging systems.