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As a considerable technique in image processing and computer vision, Nonnegative Matrix Factorization (NMF) generates its bases by iteratively multiplicative update with two initial random nonnegative matrices W and H, that leads to the randomness of the bases selection. For this reason, the potentials of NMF algorithms are not completely exploited. To address this issue, we present a novel framework...
Magnetic Induction Tomography (MIT) attempts to image conductivity distribution of biological tissues from pairs excitation and receiver coils. The inverse eddy current problem is nonlinear and ill-posed. Analysis of sensitivity field is necessary for image reconstruction. This study investigates the influence of conductivity perturbations, that is, changing the conductivity of a small region by a...
Magnetic induction tomography (MIT) in vivo is to reconstruct conductivity of biomedical tissue by coil sensors which are imposed alternating current as well as detecting signals induced by tissue around the coils. In addition to the secondary signals due to tissue parameters, the resulting signals also include the primary field signals contributed by excitation coils which are approximately 5 times...
Three-dimensional image surface reconstruction with cross-sectional images is a kind of significant model built upon the two-dimensional image in the digital image processing. It reconstructs the three-dimensional shape of the workpiece with a sequence of cross-sectional images. The three-dimensional image surface reconstruction method derived from computed tomography images is focused in this article...
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