NDLI: Graph clustering and variational image segmentation for automated firearm detection in X-ray images

Content Provider	IET Digital Library
Author	Parfitt, Noeleene Mallia Giasemidis, Georgios
Abstract	Millions of parcels and pieces of luggage are scanned daily for threat detection at border control or high-security buildings. Currently, the process is manually operated by security agents and it is slow and time-consuming. The automation of this process will lift the burden from the security agents and will allow larger volumes of items to be scanned. The authors consider the problem of automatic threat detection, in particular firearms, in X-rays. To achieve this goal, they propose a hybrid algorithm that combines two well-established image segmentation algorithms into a two-step clustering method. The first step is a semi-supervised spectral clustering algorithm at the image level, which classifies whole images into benign or containing a threat. The images classified as threatening from the first step proceed to the second stage, where a variational image segmentation algorithm performs clustering at the pixel level to locate the threat if it exists. The hybrid algorithm is designed to scale-up the processing of hundreds of images, in comparison to the academic literature where only a handful images are used for demonstration. Numerical experiments establish that the combination of two different algorithms produces better results than using individual algorithms.
Starting Page	1105
Ending Page	1114
Page Count	10
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 7, May (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5198
Journal	IET Image Processing
Publisher Date	2019-02-26
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Automated Firearm Detection Automatic Threat Detection Automation Border Control Combinatorial Mathematics Computer Vision And Image Processing Technique Different Algorithm Graph Clustering Graph Theory Handful Image High-security Buildings Hybrid Algorithm Image Classification Image Level Image Segmentation Individual Algorithm Optical, Image And Video Signal Processing Parcels Particular Firearms Pattern Clustering Security Agent Semisupervised Spectral Clustering Algorithm Time-consuming Two-step Clustering Method Variational Image Segmentation Well-established Image Segmentation Algorithm X-Ray Image X-Ray Imaging X-Rays
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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