Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging
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 …
significance poses a particular interest in automated screening systems. This paper aims to …
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 …
Trainable structure tensors for autonomous baggage threat detection under extreme occlusion
Detecting baggage threats is one of the most difficult tasks, even for expert officers. Many
researchers have developed computer-aided screening systems to recognize these threats …
researchers have developed computer-aided screening systems to recognize these threats …
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 …
Enhancing security in X-ray baggage scans: A contour-driven learning approach for abnormality classification and instance segmentation
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 …
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
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 …
LightRay: Lightweight network for prohibited items detection in X-ray images during security inspection
Object detection algorithms based on deep learning have been widely used in the intelligent
detection of prohibited items in X-ray images during the security inspection process …
detection of prohibited items in X-ray images during the security inspection process …
Automated segmentation of prohibited items in x-ray baggage images using dense de-overlap attention snake
Prohibited item segmentation has a wide range of applications in the security check field,
such as computer-aided screening, threat image projection and material discrimination …
such as computer-aided screening, threat image projection and material discrimination …
Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery
Abstract The Segment Anything Model (SAM) is a deep neural network foundational model
designed to perform instance segmentation which has gained significant popularity given its …
designed to perform instance segmentation which has gained significant popularity given its …
Multi-class 3D object detection within volumetric 3D computed tomography baggage security screening imagery
Automatic detection of prohibited objects within passenger baggage is important for aviation
security. X-ray Computed Tomography (CT) based 3D imaging is widely used in airports for …
security. X-ray Computed Tomography (CT) based 3D imaging is widely used in airports for …