Abstract

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, low-contrast, 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.

Highlights

  • Metal-enclosed cavity structures are widely used in aerospace and other industrial fields

  • 3) In order to extract the contour features in the positron image, this paper fully considers the problem of low contour contrast of the image edge due to the volume effect during the reconstruction of the positron image, and designs a 3D anisotropic convolution operator for contour feature extraction

  • To solve the above problem, this paper uses a 3D path search algorithm to obtain the centroid coordinate set of the contour feature, and performs a 3D curve fitting on the centroid coordinate set to obtain a smooth and continuous contour feature

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Summary

Introduction

Metal-enclosed cavity structures are widely used in aerospace and other industrial fields. The interior cleanliness of such cavity-type structures is extremely important. Is desquamated to produce metal foreign objects mixed in the hydraulic oil. These problems will affect the normal and stable operation of the hydraulic system and cause serious disasters to the aircraft. The most common method to address such problems is to dismantle the hydraulic system periodically for inspection and cleaning, a process that consumes considerable manpower and material resources. Designing a method that can monitor the internal state of the hydraulic system without disassembling the hydraulic system is crucial to determine whether there are defects, foreign objects, and wear in the hydraulic system

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