On Diagnostics of Double Electric Layer in the Zone of Metal–Polymer Adhesion Contact Using the Positron-Annihilation-Probe Method

Bardyshev, I. I.; Toporov, Yu. P.; Klyuev, V. A.; Gol’danskii, A. V.; Котенев, В. А.

doi:10.1134/s2070205117060053

Cited by 4 publications

(1 citation statement)

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“…The results show that positron annihilation technology can obtain accurate speeds for radial flow turbines in the entire complex 3D turbulent flow field. Bardyshev et al [6] used the positron annihilation probe method to identify the presence of DEL on the internal interface of the material and estimate its energy parameters, thus correctly reflecting the contribution of the electrostatic component to the interaction between the phases and completing the double charge of the metal-polymer contact area for non-destructive testing. Cole et al [7] applied positron annihilation technology to the problem of liquid distribution and content measurement in the foam flotation process.…”

Section: Introductionmentioning

confidence: 99%

Outline Feature Extraction of Positron Image Based on a 3D Anisotropic Convolution Operator

et al. 2020

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This study investigates the application of positron annihilation techniques to the interior of dense metal cavities for Three-dimensional (3D) imaging and extraction of contour features inside the cavities. A feature extraction algorithm based on a 3D anisotropic convolutional operator is proposed for profile feature extraction in low-resolution, lowcontrast, and low-signal-to-noise positron image. First, aiming at the problem of positron image noise caused by inconsistent detectors and metal scattering effects, an image preprocessing algorithm combining filtering and full pixel correction is proposed. A 3D anisotropic convolution operator is then designed to extract contour features. To solve the contour feature discontinuity in the extracted contour feature, a 3D path search algorithm is proposed to obtain the centroid coordinate set of the contour feature, and then the centroid coordinate set is subjected to 3D curve fitting to obtain a smooth and continuous contour feature. The study is carried out on the raw 16-bit Digital Imaging and Communications in Medicine (DICOM) data of the positron image, and the data are processed from a 3D perspective, taking full advantage of the correlation between slices in the 3D positron image. In the actual testing, positron images with different kinds of foreign objects in the cavity are extracted using a 3D anisotropic convolution operator, and the contour feature extraction resolution reaches 2 mm.

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Section: Introductionmentioning

confidence: 99%