A comparison of classification approaches for threat detection in CT based baggage screening

@article{Bouallagu2012ACO,
  title={A comparison of classification approaches for threat detection in CT based baggage screening},
  author={Najla Megherbi Bouallagu and Ji Wan Han and T. Breckon and Gregory T. Flitton},
  journal={2012 19th IEEE International Conference on Image Processing},
  year={2012},
  pages={3109-3112}
}
Computed Tomography (CT) based baggage security screening systems are of increasing use in transportation security. The ability to automatically identify potential threat item is a key aspect of current research in this area. Here we present a comparison of varying classification approaches for the automated detection of threat objects in cluttered 3D CT imagery from such security screening systems. By combining 3D medical image segmentation techniques with 3D shape classification and retrieval… Expand
View on IEEE
breckon.eu
24 Citations
Background Citations
6
Methods Citations
13

24 Citations

Citation Type

Citation Type

A review of automated image understanding within 3D baggage computed tomography security screening.
TLDR
The recent and most pertinent advancements are discussed and topics for future research within the challenging domain of automated image understanding for baggage security screening CT are identified. Expand
Investigating existing medical CT segmentation techniques within automated baggage and package inspection
3D Computed Tomography (CT) image segmentation is already well established tool in medical research and in routine daily clinical practice. However, such techniques have not been used in the context… Expand
On artefact reduction, segmentation and classification of 3D computed tomography imagery in baggage security screening
TLDR
The overall contribution of this work is a novel, fully-automated and efficient framework for the classification of objects in cluttered 3D baggage-CT imagery, extending the current state-of-the-art by improving classification performance in the presence of noise and artefacts; by automating the previously-manual isolation of objects and by decreasing processing times by several orders of magnitude. Expand
On the Evaluation of Semi-Supervised 2D Segmentation for Volumetric 3D Computed Tomography Baggage Security Screening
  • Qian Wang, T. P. Breckon
  • Computer Science
  • 2021 International Joint Conference on Neural Networks (IJCNN)
  • 2021
TLDR
This work investigates the effectiveness of 2D semantic segmentation techniques in this 3D CT segmentation problem and proposes a semi-supervised learning framework for 3DCT segmentation that can achieve comparable performance with full supervision. Expand
Threat Objects Detection in X-ray Images Using an Active Vision Approach
X-ray testing for baggage inspection has been increasingly used at airports, reducing the risk of terrorist crimes and attacks. Nevertheless, this task is still being carried out by human inspectors… Expand
Geometrical approach for automatic detection of liquid surfaces in 3D computed tomography baggage imagery
TLDR
A robust technique based on the automatic identification of universal geometric properties of liquids within 3D space and robust geometrical shape detection is proposed, intrinsic to the 3D nature of the resulting CT data and not dependent on any exemplar training imagery. Expand
Radon transform based automatic metal artefacts generation for 3D threat image projection
Threat Image Projection (TIP) plays an important role in aviation security. In order to evaluate human security screeners in determining threats, TIP systems project images of realistic threat items… Expand
A Geometrical Approach for the Automatic Detection of Liquid Surfaces in 3 D Computed Tomography Baggage Imagery
This study presents a novel method for liquid detection within 3D Computed Tomography (CT) baggage inspection imagery. Liquid detection within airport security is currently of significant interest… Expand
Materials-based 3D segmentation of unknown objects from dual-energy computed tomography imagery in baggage security screening
TLDR
The observations made in this study indicate that the proposed segmentation technique is well-suited to the baggage security-screening domain, where the demand for computational efficiency is paramount to maximise throughput. Expand
AFTD-Net: real-time anchor-free detection network of threat objects for X-ray baggage screening
  • Yiru Wei, Zhiliang Zhu, Hai Yu, Wei Zhang
  • Computer Science
  • J. Real Time Image Process.
  • 2021
TLDR
A real-time anchor-free detector of threat objects that can recognize threat objects without using pre-designed anchor boxes is proposed, which is a fully convolutional network which does not need any pre- designed anchors and achieves a real- time computation speed of 44.8 FPS. Expand
...
1
2
3
...

References

SHOWING 1-10 OF 25 REFERENCES
A classifier based approach for the detection of potential threats in CT based Baggage Screening
TLDR
This work presents a research work on developing a system for automatic detection of potential threat items in cluttered 3D CT imagery originating from UBPS systems by combining 3D medical image segmentation techniques with 3D shape classification and retrieval methods. Expand
Object Recognition using 3D SIFT in Complex CT Volumes
TLDR
This work looks at the application of the recent extension to the seminal SIFT approach to the 3D volumetric recognition of rigid objects within this complexvolumetric environment including significant noise artefacts. Expand
Automatic image analysis process for the detection of concealed weapons
The goal of this research is to develop a process, using current imaging hardware and without human intervention, that provides an accurate and timely detection alert of a concealed weapon and its… Expand
CAXSS: an intelligent threat-detection system
Array Systems Computing Inc. (ASC) is developing a prototype Computer Assisted X-ray Screening System (CAXSS) which uses state-of-the-art image processing and computer vision technology to detect… Expand
Intelligent Illicit Object Detection System for Enhanced Aviation Security
ABSTRACT Although aviation security is not a new phenomenon to the world, current threats are much more sophisticated such that it is extremely difficult to detect possible threats of terrorism… Expand
Visual Words on Baggage X-Ray Images
TLDR
It is concluded that although the straightforward application of BoW on X-ray images does not perform as well as it does on regular images, the performance can be significantly improved by utilizing the extra information available in X-Ray images. Expand
Explosives detection systems (EDS) for aviation security
TLDR
This paper discusses the application of computers for the analysis of data and images generated from security equipment and some of these technologies are reviewed. Expand
Survey of 3d image segmentation methods
This report reviews selected image binarization and segmentation methods that have been proposed and which are suitable for the processing of volume images. The focus is on thresholding, region… Expand
Content based 3D model retrieval: A survey
  • Zheng Qin, Ji Jia, Jun Qin
  • Computer Science
  • 2008 International Workshop on Content-Based Multimedia Indexing
  • 2008
TLDR
This paper reviews recent various methods of content based 3D model retrieval, and proposes a taxonomy for these methods, and evaluates several requirements for 3D shape representation. Expand
Fuzzy Connectedness and Object Definition: Theory, Algorithms, and Applications in Image Segmentation
TLDR
A theory of fuzzy objects forn-dimensional digital spaces based on a notion of fuzzy connectedness of image elements and algorithms for extracting a specified fuzzy object and for identifying all fuzzy objects present in the image data are presented. Expand
...
1
2
3
...