A Study on Two-Dimensional Variational Mode Decomposition Applied to Electrical Resistivity Tomography
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초록
Signal pre-processing and post-processing are some areas of study around electrical resistance tomography dueto the low spatial resolution of pixel-based reconstructed images. In addition, methods that improve integrity andnoise reduction are candidates for application in ERT. Lately, formulations of image processing methods providenew implementations and studies to improve the response against noise. For example, compact variational modedecomposition has recently shown good performance in image decomposition and segmentation. The results fromthis first approach of C-VMD to ERT show an improvement due to image segmentation, providing filtering of noisein the background and location of the target.
Abstract
Signal pre-processing and post-processing are some areas of study around electrical resistance tomography dueto the low spatial resolution of pixel-based reconstructed images. In addition, methods that improve integrity andnoise reduction are candidates for application in ERT. Lately, formulations of image processing methods providenew implementations and studies to improve the response against noise. For example, compact variational modedecomposition has recently shown good performance in image decomposition and segmentation. The results fromthis first approach of C-VMD to ERT show an improvement due to image segmentation, providing filtering of noisein the background and location of the target.
참고문헌 (13)
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