Diffusion-Steered Algorithm for Improving Quality of Images Generated by Electrical Capacitance Tomography Measurement System

Authors

  • George Nyotoka Electronics and Telecommunications Engineering Department, University of Dar es Salaam, Tanzania
  • Nassor Ally Electronics and Telecommunications Engineering Department, University of Dar es Salaam, Tanzania
  • Josiah Nombo Electronics and Telecommunications Engineering Department, University of Dar es Salaam, Tanzania

DOI:

https://doi.org/10.4314/tjs.v50i2.17

Keywords:

Electrical Capacitance Tomography, Inverse Problem, Image Reconstruction, Diffusion-Steered, Perona-Malik

Abstract

Electrical Capacitance Tomography (ECT) is a non-invasive, non-intrusive, radiation-free, robust, and cost-efficient measurement system that generates cross-sectional images of industrial operations by measuring differences in dielectric properties within a container. Despite its advantages, the poor quality of reconstructed images limits its applicability. Researchers have explored both non-iterative and iterative methods to address this issue, yet the resulting image quality remains insufficient for high-stakes applications where accurate decision-making is critical. This study proposes a novel algorithm that integrates the ECT model with a diffusion-steered image denoising functional, enhancing the quality of ECT reconstructed images beyond existing methods. Empirical comparisons show that the proposed algorithm outperforms state-of-the-art techniques such as Linear Back Projection and Projected Landweber, with Distribution Error (DE) and Correlation Coefficient (CC) improvements of 62% and 19%, respectively. Qualitative assessments further indicate the superior performance of the proposed algorithm in reconstructing high-quality images.

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Published

05-07-2024

How to Cite

Nyotoka, G. ., Ally, N. ., & Nombo, J. . (2024). Diffusion-Steered Algorithm for Improving Quality of Images Generated by Electrical Capacitance Tomography Measurement System. Tanzania Journal of Science, 50(2), 387–396. https://doi.org/10.4314/tjs.v50i2.17

Issue

Section

Physical Sciences