Semi-supervised contour-driven broad learning system for autonomous segmentation of concealed prohibited baggage items

Semi-supervised contour-driven broad learning system for autonomous segmentation of concealed prohibited baggage items

Abstract With the exponential rise in global air traffic, ensuring swift passenger processing while countering potential security threats has become a paramount concern for aviation security. Although X-ray baggage monitoring is now standard, manual screening has several limitations, including the p...

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Bibliographic Details
Main Authors: Divya Velayudhan, Abdelfatah Ahmed, Taimur Hassan, Muhammad Owais, Neha Gour, Mohammed Bennamoun, Ernesto Damiani, Naoufel Werghi
Format: Article
Language:English
Published: SpringerOpen 2024-12-01
Series:Visual Computing for Industry, Biomedicine, and Art
Subjects:
Baggage X-ray imagery
Broad learning systems
Threat detection
Threat segmentation
Online Access:https://doi.org/10.1186/s42492-024-00182-7
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https://doi.org/10.1186/s42492-024-00182-7

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