Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging

S Akcay, T Breckon - Pattern Recognition, 2022 - Elsevier
X-ray security screening is widely used to maintain aviation/transport security, and its
significance poses a particular interest in automated screening systems. This paper aims to …

Recent advances in baggage threat detection: A comprehensive and systematic survey

D Velayudhan, T Hassan, E Damiani… - ACM Computing …, 2022 - dl.acm.org
X-ray imagery systems have enabled security personnel to identify potential threats
contained within the baggage and cargo since the early 1970s. However, the manual …

Detecting overlapped objects in X-ray security imagery by a label-aware mechanism

C Zhao, L Zhu, S Dou, W Deng… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
One of the key challenges to the X-ray security check is to detect the overlapped items in
backpacks or suitcases in the X-ray images. Most existing methods improve the robustness …

Occluded prohibited object detection in X-ray images with global Context-aware Multi-Scale feature Aggregation

C Ma, L Zhuo, J Li, Y Zhang, J Zhang - Neurocomputing, 2023 - Elsevier
Abstract Prohibited Object Detection (POD) in X-ray images plays an important role in
protecting public safety. Automatic and accurate POD is required to relieve the working …

Exploiting foreground and background separation for prohibited item detection in overlapping X-Ray images

F Shao, J Liu, P Wu, Z Yang, Z Wu - Pattern Recognition, 2022 - Elsevier
X-ray imagery security screening is an essential component of transportation and logistics.
In recent years, some researchers have used computer vision algorithms to replace …

Detecting prohibited objects with physical size constraint from cluttered X-ray baggage images

A Chang, Y Zhang, S Zhang, L Zhong… - Knowledge-Based Systems, 2022 - Elsevier
X-ray baggage image inspection aims to detect prohibited objects. Existing inspection
systems often rely on humans to scrutinize X-ray images. Although several deep-learning …

Computer vision on x-ray data in industrial production and security applications: A comprehensive survey

M Rafiei, J Raitoharju, A Iosifidis - Ieee Access, 2023 - ieeexplore.ieee.org
X-ray imaging technology has been used for decades in clinical tasks to reveal the internal
condition of different organs, and in recent years, it has become more common in other …

Detect occluded items in X-ray baggage inspection

B Wang, Y Tian, J Wang, J Hu, D Liu, Z Xu - Computers & Graphics, 2023 - Elsevier
X-ray baggage inspection automatically determines whether there are prohibited items in
passenger luggage and has recently achieved good progress due to the development of …

Incremental cross-domain adaptation for robust retinopathy screening via Bayesian deep learning

T Hassan, B Hassan, MU Akram… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Retinopathy represents a group of retinal diseases that, if not treated timely, can cause
severe visual impairments or even blindness. Many researchers have developed …

Handling occlusion in prohibited item detection from X-ray images

D Liu, Y Tian, Z Xu, G Jian - Neural Computing and Applications, 2022 - Springer
Prohibited item detection from X-ray images determines whether any prohibited items are
present in baggage, and great progress has recently been made in this field with the …