Work

Image Reconstruction for Electromagnetic Tomography Based on Improved Cuckoo Search Algorithm

Year: 2026

Type: article

Abstract: Electromagnetic tomography (EMT) is a promising and flexible technique for imaging conductivity and/or permeability because of its noncontact nature.However, the EMT inverse problem is both ill-posed and ill-conditioned because of the soft-field nature of the electromagnetic field and the limited prior information, which significantly impacts imaging quality.To overcome this challenge, an improved Cuckoo Search algorithm is introduced, incorporating a dynamic adaptive mechanism to adjust the discovery probability P α and adaptive step size α.This modification improves the search capability, leading to higher optimization accuracy and faster convergence.Numerical simulations demonstrate that the proposed algorithm outperforms other classical techniques, particularly in terms of typical conductivity distributions.Further validation using the developed modular EMT system confirms the superior imaging performance of the method, making it a promising candidate for practical EMT applications.

Source: Sensors and Materials

DOI: 10.18494/sam5816

Authors: Ying Wang, Xianglong Liu, Yue Yang

Institutions: Zhengzhou University of Technology, Zhengzhou University of Light Industry

Language: English

Topic: Electrical and Bioimpedance Tomography

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $748

Funders: National Natural Science Foundation of China, Zhengzhou University, Natural Science Foundation of Henan Province