A Brief Survey of Image Processing Algorithms in Electrical Capacitance Tomography
This is an incremental survey for researchers in tomography and signal processing, summarizing existing methods without new results.
The paper surveys image processing algorithms for electrical capacitance tomography (ECT), focusing on reconstruction techniques to visualize internal characteristics of multiphase flow systems based on capacitance measurements, and discusses future research directions like 3D reconstruction.
To study the fundamental physics of complex multiphase flow systems using advanced measurement techniques, especially the electrical capacitance tomography (ECT) approach, this article carries out an initial literature review of the ECT method from a point of view of signal processing and algorithm design. After introducing the physical laws governing the ECT system, we will focus on various reconstruction techniques that are capable to recover the image of the internal characteristics of a specified region based on the measuring capacitances of multi-electrode sensors surrounding the region. Each technique has its own advantages and limitations, and many algorithms have been examined by simulations or experiments. Future researches in 3D reconstruction and other potential improvements of the system are discussed in the end.