A Brief Survey of Image Processing Algorithms in Electrical Capacitance Tomography

October 15, 2015 ยท The Cartographer ยท ๐Ÿ› arXiv.org

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: A Brief Survey of Image Processing Algorithms in Electrical Capacitance Tomography"

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Authors Kezhi Li arXiv ID 1510.04585 Category cs.CV: Computer Vision Citations 1 Venue arXiv.org Last Checked 4 days ago
Abstract
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.
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