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 …

[HTML][HTML] The synergistic effect of operational research and big data analytics in greening container terminal operations: A review and future directions

R Raeesi, N Sahebjamnia, SA Mansouri - European Journal of Operational …, 2023 - Elsevier
Abstract Container Terminals (CTs) are continuously presented with highly interrelated,
complex, and uncertain planning tasks. The ever-increasing intensity of operations at CTs in …

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 …

[KNIHA][B] Computer vision for X-Ray testing

D Mery, C Pieringer - 2021 - Springer
Since Röntgen discovered in 1895 [90] that X-rays can be used to identify inner structures, X-
rays have been developed not only for their use in medical imaging for human beings, but …

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 …

Automated x-ray image analysis for cargo security: Critical review and future promise

TW Rogers, N Jaccard, EJ Morton… - Journal of X-ray …, 2017 - journals.sagepub.com
We review the relatively immature field of automated image analysis for X-ray cargo
imagery. There is increasing demand for automated analysis methods that can assist in the …

On using feature descriptors as visual words for object detection within X-ray baggage security screening

ME Kundegorski, S Akçay, M Devereux, A Mouton… - … conference on imaging for …, 2016 - IET
Here we explore the use of various feature point descriptors as visual word variants within a
Bag-of-Visual-Words (BoVW) representation scheme for image classification based threat …

Enhancing security in X-ray baggage scans: A contour-driven learning approach for abnormality classification and instance segmentation

A Ahmed, D Velayudhan, T Hassan… - … Applications of Artificial …, 2024 - Elsevier
The task of automatically identifying hazardous items in luggage through X-ray scans is
highly crucial, yet immensely complex. This method presents an improvement over the …

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 …

X-ray image analysis for explosive circuit detection using deep learning algorithms

G Seyfi, M Yilmaz, E Esme, MS Kiran - Applied Soft Computing, 2024 - Elsevier
X-ray imaging technologies find applications across various domains, including medical
imaging in health institutions or security in military facilities and public institutions. X-ray …