ERT image reconstruction based on spatial adaptive hybrid regularization-Newton algorithm

In order to improve the pathology problem of electrical resistance tomography (ERT) in the inverse problem and improve the quality of the reconstruction image, on the basis of the comparative study of Tikhonov regularization and onestep Newtonian method (NOSER), the two algorithms are fused, and the conductivity and regularization matrix are corrected at the same time, a spatial adaptive hybrid regularization-Newtonian algorithm is proposed, which effectively improves the pathology of the inverse problem, improves the resolution of the target object, and can effectively improve the imaging quality. Experimental results show that the algorithm is feasible for image reconstruction of ERT inverse problem, and can effectively improve the shortcomings of the algorithm in terms of pathology, artifacts, and image resolution.