|
|
|
|
|
Hui Zhang, Shuai Ji, Mingming Shao, Houxu Pu and Liping Zhang
The purpose of this study was to achieve non-destructive detection of the internal defects of in-shell walnuts using X-ray radiography technology based on improved Faster R-CNN network model. First, the FPN structure was added to the feature-extraction l...
ver más
|
|
|
|
|
|
|
|
|
Eldred Lee, Kevin D. Larkin, Xin Yue, Zhehui Wang, Eric R. Fossum and Jifeng Liu
This article experimentally investigates the inception of an innovative hard X-ray photon energy attenuation layer (PAL) to advance high-energy X-ray detection (20?50 keV). A bi-layer design with a thin film high-Z PAL on the top and Si image sensor on t...
ver más
|
|
|
|
|
|
|
|
|
Donghuan Wang, Hong Xiao and Shengqin Huang
Radiographic testing is generally used in the quality management of aeroengine turbine blades. Traditional radiographic testing is critically dependent on artificially detecting professional inspectors. Thus, it sometimes tends to be error-prone and time...
ver más
|
|
|
|
|
|
|
|
|
Xueping Song, Shuyu Zhang, Jianming Yang and Jicun Zhang
Many security detectors do not have the ability to output individual luggage package images and are not compatible with deep learning algorithms. In this paper, a luggage package extraction of X-ray images based on the ES-MBD (Edge Sensitive Multi-channe...
ver más
|
|
|
|
|
|
|
|
|
Vasile-Adrian Surdu and Romuald Gyorgy
X-ray diffraction (XRD) is a proven, powerful technique for determining the phase composition, structure, and microstructural features of crystalline materials. The use of machine learning (ML) techniques applied to crystalline materials research has inc...
ver más
|
|
|
|