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 …

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 …

A framework for the synthesis of x-ray security inspection images based on generative adversarial networks

J Liu, TH Lin - IEEE Access, 2023 - ieeexplore.ieee.org
Object detection of prohibited items in X-ray security inspection is challenging because of
serious overlap, disorderly background, and high throughput. In the past few years, a variety …

Few-shot segmentation for prohibited items inspection with patch-based self-supervised learning and prototype reverse validation

K Liu, S Lyu, Y Lu - IEEE Transactions on Multimedia, 2022 - ieeexplore.ieee.org
Prohibited items inspection using X-ray screening is essential for reducing the risk of crime
and terrorist attacks. The difficulty in prohibited items inspection lies in accurately detecting …

MR brain image segmentation: a framework to compare different clustering techniques

L Caponetti, G Castellano, V Corsini - Information, 2017 - mdpi.com
In Magnetic Resonance (MR) brain image analysis, segmentation is commonly used for
detecting, measuring and analyzing the main anatomical structures of the brain and …

Self-supervised anomaly detection and localization for X-ray cargo images: Generalization to novel anomalies

B Gaikwad, A Patra, CR Crawford, EL Miller - Engineering Applications of …, 2025 - Elsevier
Robust detection of illicit items using X-ray inspection methods has gained increasing
importance in recent years due to the large volume of cargo crossing international borders …

Self-Supervised Anomaly Detection and a New Benchmark for X-Ray Cargo Images

B Gaikwad, A Patra, C Crawford… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Robust detection of illicit items using X-ray inspection methods has gained increasing
importance in recent years due to the large volume of cargo crossing borders. Viewing this …

A Rail Fault Diagnosis Method Based on Quartic C2 Hermite Improved Empirical Mode Decomposition Algorithm

H Liu, C Qin, M Liu - Sensors, 2019 - mdpi.com
For compound fault detection of high-speed rail vibration signals, which presents a difficult
problem, an early fault diagnosis method of an improved empirical mode decomposition …

EFC-CenterNet: A Lightweight Network for Prohibited Object Detection

C Han, Y Wu, T Jia, D Chen - 2023 IEEE 13th International …, 2023 - ieeexplore.ieee.org
Security inspection is an indispensable aspect of contemporary life and it plays a crucial role
in ensuring personal safety at all times. In this regard, the accurate and prompt detection of …

An Optimized Mask R-CNN with Bag-of-Visual Words and Fast+ Surf Algorithm in Sharp Object Instance Segmentation for X-ray Security.

E Abong Jr, KTA Janducayan, JMM Lima, MV Aborde - TEM Journal, 2024 - ceeol.com
Automated security X-ray analysis is highly desired for efficiently inspecting sharp objects.
The research formulated an optimized approach for sharp object detection using a Mask R …