Results 1 to 10 of about 68,049 (303)

Locally Optimal Subsampling Strategies for Full Matrix Capture Measurements in Pipe Inspection

Applied Sciences, 2021
In ultrasonic non-destructive testing, array and matrix transducers are being employed for applications that require in-field steerability or which benefit from a higher number of insonification angles.
Fabian Krieg, Jan Kirchhof, Eduardo Pérez, Thomas Schwender, Florian Römer, Ahmad Osman   +5 more
doaj   +1 more source

A Deep Learning Method for the Impact Damage Segmentation of Curve-Shaped CFRP Specimens Inspected by Infrared Thermography

Sensors, 2021
Advanced materials such as continuous carbon fiber-reinforced thermoplastic (CFRP) laminates are commonly used in many industries, mainly because of their strength, stiffness to weight ratio, toughness, weldability, and repairability.
Ziang Wei, Henrique Fernandes, Hans-Georg Herrmann, Jose Ricardo Tarpani, Ahmad Osman   +4 more
doaj   +1 more source

High-speed, high-accuracy 3D shape measurement based on binary color fringe defocused projection [PDF]

Journal of the European Optical Society-Rapid Publications, 2015
A widely used method in high-speed 3D shape measurement, color-code fringe projection requires the projection of only one image. In traditional color-code method, the projected fringe is compounded by sinusoidal fringes, grayscale value distribution ...
Li B., Fu Y., Wang Z., Zhang J.
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Nondestructive Testing of the Integrity of Solid Oxide Fuel Cell Stack Elements by Ultrasound and Thermographic Techniques

Energies, 2022
Single planar fuel cell elements consisting of metallic interconnectors that are bonded and sealed by a thin glass solder layer form the core of a solid oxide fuel cell.
Udo Netzelmann, Andrea Mross, Thomas Waschkies, Dietmar Weber, Ewald Toma, Holger Neurohr   +5 more
doaj   +1 more source

Optimization of the Unambiguity of Cross-Correlated Ultrasonic Signals through Coded Excitation Sequences for Robust Time-of-Flight Measurements

Signals, 2021
The cross-correlation function (CCF) is an established technique to calculate time-of-flight for ultrasonic signals. However, the quality of the CCF depends on the shape of the input signals. In many use cases, the CCF can exhibit secondary maxima in the
Marius Schäfer, Hendrik Theado, Michael M. Becker, Sarah C. L. Fischer   +3 more
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SS-SF: Piecewise 3D Scene Flow Estimation With Semantic Segmentation

IEEE Access, 2021
In order to address the issue of edge-blurring and improve the accuracy and robustness of scene flow estimation under motion occlusions, we in this article propose a piecewise 3D scene flow estimation approach with semantic segmentation, named SS-SF ...
Cheng Feng, Long Ma, Congxuan Zhang, Zhen Chen, Liyue Ge, Shaofeng Jiang   +5 more
doaj   +1 more source

Extended Non-Stationary Phase-Shift Migration for Ultrasonic Imaging of Irregular Surface Component

IEEE Access, 2021
This paper introduces an extended non-stationary phase-shift migration (ENSPS) method for ultrasound imaging of irregular surface components. This method extends non-stationary phase-shift (NSPS) technology based on the classical B-scan data to full ...
Junjie Chang, Zhiheng Chen, Wenbin Luo, Haiying Zhong, Chao Lu   +4 more
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Mach-Zehnder Interferometer for High Temperature (1000 °C) Sensing Based on a Few-Mode Fiber

Photonic Sensors, 2020
A Mach-Zehnder interferometer (MZI) for high temperature (1000 °C) sensing based on few mode fiber (FMF) was proposed and experimentally demonstrated. The sensor was fabricated by fusing a section of FMF between two single-mode fibers (SMFs).
Juan Liu, Chaowei Luo, Hua Yang, Zhen Yi, Bin Liu, Xingdao He, Qiang Wu   +6 more
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Large Displacement Optical Flow Estimation Based on Robust Interpolation of Sparse Correspondences

IEEE Access, 2020
Recently, the interpolation of correspondences method has been widely used in optical flow estimation, because it produces an accurate flow field and costs little runtimes.
Shidong Shi, Daowen Zhang, Congxuan Zhang, Zhen Chen, Cheng Feng, Bingbing Fan   +5 more
doaj   +1 more source

LW-Net: A Lightweight Network for Monocular Depth Estimation

IEEE Access, 2020
Existing self-supervised monocular depth estimation methods usually explore increasingly large networks to achieve accurate estimation results. However, larger networks are more difficult to train and require more storage space.
Cheng Feng, Congxuan Zhang, Zhen Chen, Ming Li, Hao Chen, Bingbing Fan   +5 more
doaj   +1 more source