Electrical tomography method and system based on robust principal component analysis
A technology of electrical tomography and principal component analysis, which is applied in the field of image processing, can solve the problems that the image cannot be restored, and the image quality and material distribution cannot be guaranteed at the same time, so as to achieve accurate process parameters, overcome the interference of environmental noise, and reduce the image quality. noise effect
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Embodiment 1
[0035] figure 1 It is a flowchart of an electrical tomography imaging method according to a specific embodiment of the present invention.
[0036] The process is as follows:
[0037] (1). For different measurement objects, the voltage measurement data of the electrical capacitance tomography sensor is collected.
[0038] (2). Using the linear back projection (LBP) image reconstruction algorithm and the collected voltage data for image reconstruction, the material distribution image that changes continuously with time is obtained.
[0039] (3). Convert each frame of image into a column vector, and accumulate multiple frames of images into an image matrix.
[0040] (4). The image matrix is used as input, and the Alternating Direction Method of Multipliers (ADMM) is used to perform robust principal component analysis to obtain low-rank images and sparse noise.
[0041] figure 1 In the process of constructing the image matrix, you can select an image with a fixed number of f...
Embodiment 2
[0043]It is the same as that of Embodiment 1, except that in step (4), an iterative soft threshold (Iterative Soft-Thresholding, IST) method is used to perform robust principal component analysis.
Embodiment 3
[0045] The same as the embodiment 1, the only difference is that in step (4), the robust principal component analysis is performed by using the Accelerated Proximal Gradient (APG) method.
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