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 …

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 …

[HTML][HTML] Interpol review of the analysis and detection of explosives and explosives residues

DJ Klapec, G Czarnopys, J Pannuto - Forensic science …, 2023 - ncbi.nlm.nih.gov
The authors would first recommend that readers review the previous three review papers
from 2013, 2016 and 2019 [22–24]. Those may have some articles on technology that …

A literature review on deep learning algorithms for analysis of X-ray images

G Seyfi, E Esme, M Yilmaz, MS Kiran - International Journal of Machine …, 2024 - Springer
Since the invention of the X-ray beam, it has been used for useful applications in various
fields, such as medical diagnosis, fluoroscopy, radiation therapy, and computed …

违禁品X 光图像检测技术应用研究进展综述.

梁添汾, 张南峰, 张艳喜… - Journal of Computer …, 2021 - search.ebscohost.com
X 光图像在安检中应用十分广泛, 目前大部分安检工作还要依靠人工完成, 但X
光安检巨大的工作量和工作强度使自动安检成为必然趋势. 如何根据X 光图像自动检测其中物体 …

Prohibited object detection in X-ray images with dynamic deformable convolution and adaptive IoU

C Ma, L Zhuo, J Li, Y Zhang… - 2022 IEEE international …, 2022 - ieeexplore.ieee.org
Due to the variety and complexity of objects in X-ray images, how to detect the prohibited
items automatically and accurately is a challenging problem. In this paper, an X-ray image …

IIE-SegNet: Deep semantic segmentation network with enhanced boundary based on image information entropy

Q Li, H Wang, BY Li, T Yanghua, J Li - IEEE Access, 2021 - ieeexplore.ieee.org
With the vigorous development of deep learning and the widespread use of mobile robots,
automatic driving has gradually become a research hotspot. Environment perception is the …

New end-to-end strategy based on DeepLabv3+ semantic segmentation for human head detection

M Chouai, P Dolezel, D Stursa, Z Nemec - Sensors, 2021 - mdpi.com
In the field of computer vision, object detection consists of automatically finding objects in
images by giving their positions. The most common fields of application are safety systems …

Advancements in machine learning techniques for threat item detection in X-ray images: a comprehensive survey

A Singh, Dhiraj - International Journal of Multimedia Information …, 2024 - Springer
X-ray security screening is crucial in detecting prohibited objects and explosive materials
within passenger luggage, thus ensuring the safety of airports, railway stations, and aircraft …

[PDF][PDF] X-ray Image Prohibited Item Detection Algorithm Based on Improved PP-YOLO

JK Zhang, Y Liu, XQ Lv, Y Liang - J COMPUT EDUC, 2023 - csroc.org.tw
In order to solve the problems of missing detection due to overlap and occlusion of
contraband in X-ray images and low accuracy of small object detection, we propose a single …