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Classification and Detection of Prohibited Objects in X-Ray Baggage Security Images
Airport security is strengthened by baggage screening to prevent potential threats and ensure safety. Researchers have been striving to create more...
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Cascaded structure tensor for robust baggage threat detection
In the last two decades, baggage scanning has become one of the prime aviation security concerns worldwide. Manual screening of the baggage items is...
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AFTD-Net: real-time anchor-free detection network of threat objects for X-ray baggage screening
X-ray baggage screening is a vitally important task to detect all kinds of threat objects at controlled access positions, which can prevent crime and...
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Programmable broad learning system for baggage threat recognition
Detecting illegal and harmful objects in baggage at airports, subways, and bus stations has always been a difficult task that requires intense focus...
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AC-YOLOv4: an object detection model incorporating attention mechanism and atrous convolution for contraband detection in x-ray images
The complex background of X-ray security detection images and the overlap** of contraband items with each other and their different sizes and...
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Tensor pooling-driven instance segmentation framework for baggage threat recognition
Automated systems designed for screening contraband items from the X-ray imagery are still facing difficulties with high clutter, concealment, and...
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Detection of threat objects in baggage inspection with X-ray images using deep learning
In the field of security, baggage-screening with X-rays is used as nondestructive testing for threat object detection. This is a common protocol when...
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Computer Vision for X-Ray Testing Imaging, Systems, Image Databases, and Algorithms
[FIRST EDITION] This accessible textbook presents an introduction to computer vision algorithms for industrially-relevant applications of X-ray...
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An automated detection model of threat objects for X-ray baggage inspection based on depthwise separable convolution
X-ray baggage inspection is an essential task to detect threat objects at important controlled access places, which can guard personal safety and...
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X-ray Testing
X-ray testing has been developed for the inspection of materials or objects, where the aim is to analyze—nondestructively—those inner parts that are...
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Double Transfer Learning to Detect Lithium-Ion Batteries on X-Ray Images
With the soaring popularity of electronic gadgets, Lithium-Ion Batteries (LIB) have witnessed a remarkable surge. The inspiration behind this study...
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Comparative Study of Supervised Machine Learning Color-Based Segmentation for Object Detection in X-Ray Baggage Images for Intelligent Transportation Systems
Aviation security screening systems have been considerably strengthened since the attacks of September 11, 2001. To date, almost all used baggage...
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Applications in X-ray Testing
In this chapter, relevant applications on X-ray testing are described. We cover X-ray testing in (i) castings, (ii) welds, (iii) baggage, (iv)...
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Automatic Baggage Threat Detection Using Deep Attention Networks
Detecting threats in densely packed luggage is challenging for aviation security due to the partial occlusion or self-occlusion of prohibited items....
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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...
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Image Recognition and Threat Detection in Bags Arriving at the Airport
International transport security policy requires the baggage screening. In airports and railway stations, these operations are processed manually...
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X-Ray Image Processing
In this chapter, we cover the main techniques of image processing used in X-ray testing. They are (i) image processing to enhance details, (ii) image...
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Design of Intelligent Security Inspection System for Airport Passengers’ Carry on Luggage Based on Machine Learning
When carrying out the airport passenger baggage intelligent screening, due to the complexity of the algorithm, there are errors in the screening...
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PIDray: A Large-Scale X-ray Benchmark for Real-World Prohibited Item Detection
Automatic security inspection relying on computer vision technology is a challenging task in real-world scenarios due to many factors, such as...
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Development of Convolutional Neural Network Architecture for Detecting Dangerous Goods for X-ray Aviation Security in Artificial Intelligence
Aviation-security X-ray equipment is used to screen objects, while human screeners re-examine baggage and travelers to detect prohibited objects....