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http://dx.doi.org/10.7471/ikeee.2022.26.3.475

A Study on Two-Dimensional Variational Mode Decomposition Applied to Electrical Resistivity Tomography  

Sanchez, Felipe Alberto Solano (Department of Electronic Engineering, Jeju National University)
Khambampati, Anil Kumar (Department of Electronic Engineering, Jeju National University)
Kim, Kyung Youn (Department of Electronic Engineering, Jeju National University)
Publication Information
Journal of IKEEE / v.26, no.3, 2022 , pp. 475-482 More about this Journal
Abstract
Signal pre-processing and post-processing are some areas of study around electrical resistance tomography due to the low spatial resolution of pixel-based reconstructed images. In addition, methods that improve integrity and noise reduction are candidates for application in ERT. Lately, formulations of image processing methods provide new implementations and studies to improve the response against noise. For example, compact variational mode decomposition has recently shown good performance in image decomposition and segmentation. The results from this first approach of C-VMD to ERT show an improvement due to image segmentation, providing filtering of noise in the background and location of the target.
Keywords
electrical resistivity tomography; post-processing; image segmentation; analytic signal; frequency spectrum;
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