Computed tomography (CT) is widely used in medicine for diagnostics or for image-guided therapies, and is also popular in industrial applications for nondestructive testing. CT conventionally requires a large number of projections to produce volumetric images of a scanned object, because the conventional image reconstruction algorithm is based on filtered-backprojection. This requirement may re...

Recently, a novel method for region of interest (ROI) reconstruction from truncated projections with neither the use of prior knowledge nor explicit extrapolation has been published, named Approximated Truncation Robust Algorithm for Computed Tomography (ATRACT). It was derived by analytically reformulating the standard Feldkamp-Davis-Kress (FDK) algorithm into a reconstruction scheme that is b...

In this paper, we propose a new digital Hard-Successive-Interference-Cancellation (HSIC), the Alternating Projections-HSIC (AP-HSIC), an innovative fast computational feedback algorithm that deals with various destructive phenomena from different types of interferences. The correctness and convergence proposed are provided, its complexity is given. possesses functionality canceling interference...

Many problems in applied mathematics can be abstracted into finding a common point of a finite collection of sets. If all the sets are closed and convex in a Hilbert space, the method of successive projections (MOSP) has been shown to converge to a solution point, i.e., a point in the intersection of the sets. These assumptions are however not suitable for a broad class of problems. In this pap...

Aiming at the non-stationary characteristics of oil pressure vibration signals containing particulate, a method for predicting particulate content in was proposed based on characteristic frequency extraction by vibrational mode decomposition (VMD), variable selection using successive projections algorithm (SPA) and T_S fuzzy identification combined. Firstly, signal decomposed VMD series narrow-...

Drought stress is one of the key abiotic stresses affecting plant growth, crop yield and food quality. The main objective this study to investigate potential effectiveness hyperspectral imaging with band selection method for rapid detection early drought tomatoes. First, unsupervised algorithm - K-means statistical histogram are used extract samples representing each experimental treatment grou...