Recent advances in baggage threat detection: A comprehensive and systematic survey
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 …
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
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 …
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 …
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
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 …
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 …
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 …
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 …
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
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 …
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
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 …
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 …
contraband in X-ray images and low accuracy of small object detection, we propose a single …